Senior Software Engineer (Applied AI) — NYC (Hybrid)
$201K–$246K Base + Equity
About the Opportunity
We’re partnering with a well-funded, high-growth fintech startup building the next generation of infrastructure and intelligent tooling for financial professionals.
This company has achieved strong product-market fit and is scaling rapidly, with AI at the core of its platform — not as an experiment, but as a fundamental driver of how the product operates.
They are hiring Senior Applied AI Engineers (5–8 years experience) to help build and deploy AI-powered systems used daily by real customers.
This is a product-facing role, focused on shipping practical, high-impact systems — not research.
What you’ll work on
You’ll build AI directly into a live production platform, helping automate complex workflows and unlock efficiency at scale.
Examples of systems you may design and ship:
- AI copilots and intelligent assistants embedded into the product
- Autonomous agents that execute multi-step workflows
- Workflow automation systems powered by LLMs and structured data
- Meeting preparation tools (context aggregation, summaries, follow-ups)
- Task routing and operational intelligence systems
- End-to-end AI features integrated into a high-usage platform
What you’ll do
- Build and deploy AI-powered product features used by real customers
- Design and implement agent-based systems that automate complex workflows
- Work across the full product lifecycle (idea → build → production → iteration)
- Collaborate closely with Product, Design, and Engineering teams
- Engage directly with users and iterate based on real feedback
- Operate with high ownership in a fast-moving, ambiguous environment
What they’re looking for
- 5–8 years of software engineering experience
- Strong product mindset and ability to operate independently
- Experience shipping AI systems into production (LLMs, agents, RAG, etc.)
- Solid backend fundamentals (APIs, systems design, scalability)
- Full-stack capability (frontend proficiency is a plus)
- Experience in startup or high-growth environments
- Comfortable moving quickly and navigating ambiguity
- Actively using AI tools (e.g., copilots, agents, LLM workflows) in daily work
Tech stack
- Ruby on Rails
- React / Next.js
- TypeScript
- GraphQL
- PostgreSQL
- AWS
Compensation & Benefits
- Base Salary: $201,000 – $246,000
- Equity: Competitive early-stage equity
- Comprehensive health, dental, and vision coverage
- High-impact role with strong ownership and visibility
Work environment
- Hybrid: 4 days/week in-office (NYC)
- Fast-paced, highly collaborative culture
- Tight feedback loops with real users
- High-autonomy, builder-driven environment
Additional details
- Location: New York City (Hybrid)
- Relocation: Open to candidates willing to relocate
- 🚫 Visa sponsorship: Not available for this role
Why this role
- AI is core to the product — not an experiment
- You’ll build systems used daily by real customers
- Strong growth stage with real traction and momentum
- High ownership and ability to shape product direction
- Work alongside experienced operators and high-caliber engineers
Apply / Learn more
If you’re interested in building real-world AI systems that drive measurable impact, we’d love to connect.
Member of Technical Staff — AI Systems & Benchmarking
San Francisco (On-site) | $130K–$220K + Equity
✨ This is not a typical AI role
Most roles focus on building AI systems.
This one focuses on something far more fundamental:
Understanding how AI systems actually perform in the real world — and defining how that performance is measured.
You’ll operate at the intersection of systems, analysis, AI, and strategy, working on problems that shape how modern AI is evaluated, understood, and deployed.
Who this is for
This role tends to resonate with a specific type of person.
You might be a fit if you:
- Think deeply about how AI systems behave — not just how to build them
- Have built real systems (APIs, pipelines, integrations, products)
- Enjoy breaking down complex problems into structured frameworks
- Are comfortable moving between technical detail and big-picture thinking
- Have used AI tools in practice (LLMs, automation, workflows)
- Still enjoy coding and working hands-on
What you’ll do
- Design and build AI evaluation and benchmarking systems
- Analyze how models and agents perform across real-world use cases
- Develop frameworks, datasets, and metrics to measure AI capabilities
- Translate complex system behavior into clear, actionable insights
- Work closely with engineers, product teams, and external partners
- Contribute to product direction and overall strategy
What matters most
- Strong Python proficiency (recent, hands-on work)
- Experience with data analysis and building analytical frameworks
- Ability to operate as a technical generalist
- Clear communication and structured thinking
- High ownership and comfort in ambiguous environments
Backgrounds that tend to work well
- Product-minded software engineers with AI exposure
- Engineers who’ve built systems involving LLMs, pipelines, or automation
- Technical professionals from top-tier consulting backgrounds with coding ability
- Founding or early engineers with broad ownership
Not a fit if you’re primarily
- Focused only on training models or academic research
- Removed from hands-on coding
- Purely management-focused
Compensation & Upside
- Base salary: $130K–$220K
- Equity: Meaningful early-stage ownership
- Growth: Team expected to scale rapidly
Why this role is different
- Work on problems that define how AI is measured — not just built
- Direct exposure to cutting-edge AI systems and real-world use cases
- High ownership in a small, fast-growing team
- A rare blend of technical depth, strategy, and impact
Interested?
If this sounds like the kind of problem you naturally gravitate toward, we’d love to connect.
Senior/Staff Platform Engineer (Remote, U.S.)
Build the systems that engineers rely on | 150K – 500K base + equity
We’re working with a well-funded, AI-native fintech company building infrastructure that powers real-world financial workflows at scale.
This is not a traditional infrastructure role.
This is for engineers who think of infrastructure as a product — and care deeply about how fast, safely, and effectively other engineers can build and ship.
What you’ll be doing
You’ll be designing and building the internal systems that define how engineering happens across the company:
- Build internal platforms and developer tooling (TypeScript)
- Design and maintain CI/CD systems, including per-PR environments
- Create shared libraries, SDKs, and frameworks used across teams
- Own and evolve AWS infrastructure using Terraform / Pulumi
- Improve developer velocity by standardizing how software is built and deployed
- Drive reliability and observability (SLOs, monitoring, incident response)
- Solve scaling challenges across compute, services, and databases
What they’re looking for
Experience
- ~7–25 years of engineering experience
- Background in platform engineering, infrastructure, or backend systems
- Experience at a high-growth startup (Big Tech alone is not a fit)
- Track record of building systems used by other engineers
Technical
- Strong TypeScript / Node.js for APIs, libraries, or internal tooling
- Deep AWS experience (compute, networking, storage, security)
- Strong Terraform and/or Pulumi (modules, workflows, CI-driven infra)
- Experience building CI/CD pipelines and deployment systems
- Experience with observability tools (Datadog, CloudWatch, tracing)
- Familiarity with reliability engineering (SLOs, error budgets, incident response)
Mindset
- Thinks in systems, not just components
- Strong builder mentality — creates leverage for others
- Clear communicator, able to document complex systems
- High ownership, low ego
Compensation
- $150K – $500K base + equity (depending on level)
- Full benefits (medical, dental, vision, 401k, etc.)
- Remote (U.S.)
- 🚫 No visa sponsorship available
Why this role
- Work on infrastructure that directly impacts how an entire engineering team operates
- Join an early-stage, high-caliber team where your work shapes core systems
- Build systems that scale with real-world usage — not theoretical projects
- High ownership, high trust, and meaningful technical problems
Apply
If this sounds like your kind of work:
Apply here
(Reference: Platform Engineer)
Know someone great?
We offer a referral bonus if your introduction leads to a hire:
A note from Aionia
We work with a small number of teams building real, technically challenging products.
This is one of those roles where the impact is disproportionate — what you build will shape how every engineer on the team works.
Principal Security Architect – Private AI Cloud Infrastructure
Location: Reston/McLean, Virginia
Compensation: $250,000–$340,000 base + equity + benefits
Type: Full-Time | On-site
We are partnering with a well-funded AI research organization building advanced machine learning systems that require extremely secure and resilient infrastructure.
They are seeking a Principal Security Architect to lead the design of a private cloud environment used to train and operate large-scale AI systems.
This is not a traditional cloud security role. The focus is on designing and securing the infrastructure itself — from compute clusters and networking layers to cryptographic controls protecting sensitive models and research data.
What You’ll Do
Design Secure Infrastructure
Architect a private cloud environment designed to protect highly sensitive machine learning systems and datasets.
Network and Compute Isolation
Develop security architecture for distributed GPU compute clusters, including hardened networking, segmentation, and zero-trust communication between services.
Security Architecture
Define how identity, cryptography, and infrastructure controls interact across compute, storage, and networking layers.
Threat Modeling
Design systems assuming persistent adversarial pressure and build architectures that remain resilient under compromise scenarios.
Infrastructure Automation
Work with platform engineering teams to implement secure infrastructure deployments using Infrastructure-as-Code and immutable infrastructure principles.
Technical Background
Strong candidates typically have experience with several of the following:
- Linux systems security
- Kubernetes / container orchestration
- Distributed systems infrastructure
- Cloud security architecture
- Hardware-rooted security (HSMs, TEEs, confidential computing)
- Infrastructure automation (Terraform, Pulumi, etc.)
- Programming in Go, Rust, or similar systems languages
Ideal Profile
You are someone who:
- Thinks about infrastructure security at the architectural level
- Has experience securing large distributed systems
- Understands both defensive security and how real attackers operate
- Enjoys solving difficult systems problems rather than managing tools
About the Opportunity
This role is with a confidential client operating in advanced AI research.
The organization is building high-performance compute infrastructure designed to support next-generation machine learning systems.
You will work alongside world-class engineers focused on distributed systems, machine learning infrastructure, and applied security.
Compensation
This role offers a highly competitive compensation package.
Expected base salary range: $250,000 – $340,000, plus performance bonus and equity.
Final compensation will depend on experience and technical depth.
How to Apply
To be considered for this contingent role, please complete the APPLY / Join Our Talent Deck at the bottom of the page.
Only shortlisted candidates will be contacted. Selected applicants may be asked to sign an NDA prior to the interview process.
Senior Detection & Resilience Engineer – Private AI Infrastructure
We are working with a confidential AI research organization building advanced machine learning systems on highly secure private infrastructure. They are hiring a Senior Detection & Resilience Engineer to help design and implement the systems that monitor, detect, and respond to threats within a high-performance AI compute environment. This role sits at the intersection of security engineering, infrastructure telemetry, and incident response automation. The goal is not simply alerting, but building the systems that allow the organization to detect anomalies quickly and recover safely from compromise scenarios.
What You’ll Do
Build Security Telemetry Systems Design and implement logging, monitoring, and signal collection across distributed infrastructure, including compute clusters, orchestration layers, and networking systems. Develop Detection Logic Create detection mechanisms that identify suspicious activity across infrastructure and internal services, using behavioral analysis and anomaly detection techniques. Adversary Simulation & Testing Partner with security and infrastructure teams to simulate attack scenarios and validate that monitoring and detection systems respond appropriately. Incident Response Engineering Build tools and workflows that allow engineering teams to investigate and respond to incidents quickly while minimizing disruption to critical systems. Resilience and Recovery Systems Help design systems that support rapid containment, isolation, and recovery of infrastructure in the event of compromise or operational failure. Collaborate with Platform & Security Teams Work closely with infrastructure, security architecture, and systems engineering teams to ensure visibility across the entire environment.Technical Background
Strong candidates will typically bring experience in several of the following areas:- Infrastructure monitoring and observability platforms
- Security detection engineering
- Incident response automation
- Linux systems and distributed infrastructure
- Kubernetes environments and container telemetry
- Log pipelines and large-scale telemetry processing
- Programming or scripting in Go, Python, Rust, or similar languages
Ideal Profile
You may be a strong fit if you:- Enjoy understanding how complex systems behave under stress
- Think about how attackers might move through infrastructure
- Care deeply about detection, containment, and recovery
- Prefer building tools and systems rather than operating dashboards
- Are comfortable working closely with infrastructure engineers
Compensation
Expected base salary range: $170,000 – $200,000, plus bonus and equity. Final compensation will depend on experience and technical scope.About the Opportunity
This role is with a confidential client operating in advanced AI research. The team is building secure, high-performance infrastructure designed to support next-generation machine learning systems and protect highly sensitive research environments. You will work alongside engineers focused on distributed systems, infrastructure security, and applied machine learning.How to Apply
To be considered for this contingent role, please complete the APPLY / Join Our Talent Deck at the bottom of the page. Only shortlisted candidates will be contacted. Selected applicants may be asked to sign an NDA prior to the interview process.Senior Security Infrastructure Engineer – Private AI Cloud
Location: Reston/Herndon, Virginia
Compensation: $180,000–$240,000 base + equity + benefits
Type: Full-Time | On-site
We are partnering with a confidential AI research organization building advanced machine learning systems on highly secure, private infrastructure.
They are hiring a Senior Security Infrastructure Engineer to help design, implement, and harden the core security controls behind a private AI cloud environment supporting sensitive research, large-scale compute, and internal platform services.
This role sits close to architecture and platform engineering and is ideal for someone who enjoys building secure infrastructure rather than managing security tools from a distance.
What You’ll Do
Implement Security Controls Across Core Infrastructure
Partner with senior architecture and platform teams to build and enforce security controls across compute, networking, storage, and identity layers.
Harden Kubernetes and Linux-Based Systems
Help secure containerized and distributed environments, with a focus on cluster isolation, workload security, host hardening, and least-privilege access.
Support Secure Infrastructure Automation
Work with Infrastructure-as-Code and deployment pipelines to ensure infrastructure is reproducible, immutable, and aligned with security standards.
Improve Secrets and Key Handling
Support the implementation of secure secrets management, key lifecycle controls, and integrations with HSMs, KMS platforms, or equivalent internal systems.
Contribute to Threat Modeling and Resilience Planning
Partner with security and infrastructure leaders to identify failure points, model adversarial scenarios, and improve containment and recovery capabilities.
Collaborate Across Engineering
Work closely with platform, systems, and security teams to ensure secure design choices are practical, scalable, and consistently applied.
Background We’d Like to See
Strong candidates will typically bring experience in several of the following areas:
- Linux systems administration and security
- Kubernetes and container security
- Infrastructure-as-Code using Terraform, Pulumi, or similar tools
- Cloud or private infrastructure environments
- Identity, secrets, and access control systems
- Network segmentation or service-to-service security
- Scripting or software development in Go, Python, Rust, or similar languages
Ideal Profile
You may be a fit if you:
- Have experience securing infrastructure at the systems level
- Enjoy being close to the underlying platform rather than only policy or compliance work
- Can move comfortably between engineering and security contexts
- Think carefully about resilience, containment, and operational reality
- Want to help build secure foundations for advanced AI infrastructure
Compensation
Expected base salary range: $180,000 – $240,000, plus bonus and equity.
Final compensation will depend on experience, technical depth, and scope.
About the Opportunity
This role is with a confidential client operating in advanced AI research.
The team is building secure, high-performance infrastructure to support next-generation machine learning systems. You’ll work alongside senior engineers across infrastructure, platform, and security in an environment that values depth, ownership, and careful execution.
How to Apply
To be considered for this contingent role, please complete the APPLY / Join Our Talent Deck at the bottom of the page.
Only shortlisted candidates will be contacted. Selected applicants may be asked to sign an NDA prior to the interview process.
Principal Security Architect – Private AI Cloud Infrastructure
Location: Reston/McLean, Virginia
Compensation: $250,000–$340,000 base + equity + benefits
Type: Full-Time | On-site
We are partnering with a well-funded AI research organization building advanced machine learning systems that require extremely secure and resilient infrastructure.
They are seeking a Principal Security Architect to lead the design of a private cloud environment used to train and operate large-scale AI systems.
This is not a traditional cloud security role. The focus is on designing and securing the infrastructure itself — from compute clusters and networking layers to cryptographic controls protecting sensitive models and research data.
What You’ll Do
Design Secure Infrastructure
Architect a private cloud environment designed to protect highly sensitive machine learning systems and datasets.
Network and Compute Isolation
Develop security architecture for distributed GPU compute clusters, including hardened networking, segmentation, and zero-trust communication between services.
Security Architecture
Define how identity, cryptography, and infrastructure controls interact across compute, storage, and networking layers.
Threat Modeling
Design systems assuming persistent adversarial pressure and build architectures that remain resilient under compromise scenarios.
Infrastructure Automation
Work with platform engineering teams to implement secure infrastructure deployments using Infrastructure-as-Code and immutable infrastructure principles.
Technical Background
Strong candidates typically have experience with several of the following:
- Linux systems security
- Kubernetes / container orchestration
- Distributed systems infrastructure
- Cloud security architecture
- Hardware-rooted security (HSMs, TEEs, confidential computing)
- Infrastructure automation (Terraform, Pulumi, etc.)
- Programming in Go, Rust, or similar systems languages
Ideal Profile
You are someone who:
- Thinks about infrastructure security at the architectural level
- Has experience securing large distributed systems
- Understands both defensive security and how real attackers operate
- Enjoys solving difficult systems problems rather than managing tools
About the Opportunity
This role is with a confidential client operating in advanced AI research.
The organization is building high-performance compute infrastructure designed to support next-generation machine learning systems.
You will work alongside world-class engineers focused on distributed systems, machine learning infrastructure, and applied security.
Compensation
This role offers a highly competitive compensation package.
Expected base salary range: $250,000 – $340,000, plus performance bonus and equity.
Final compensation will depend on experience and technical depth.
How to Apply
To be considered for this contingent role, please complete the APPLY / Join Our Talent Deck at the bottom of the page.
Only shortlisted candidates will be contacted. Selected applicants may be asked to sign an NDA prior to the interview process.
FILLED
Senior Backend Engineer / Founding Full Stack Developer (Hybrid – San Francisco)
Location: San Francisco, CA (Hybrid, 2–3 days onsite)
Compensation: $160,000–$190,000 base + equity + benefits
Type: Full-Time | Founding Team Role | Early-Stage Startup
ABOUT THE ROLE
The client is building the platform that will redefine how teams use data to make fast, intelligent decisions.
Think of it as the infrastructure layer that bridges analytics, AI workflows, and real-time collaboration — built from the ground up for speed, scale, and simplicity.
As the Senior Backend Engineer, you’ll own the system architecture that powers it all. You’ll help design APIs, data models, and core backend services — while collaborating with our founders to turn big ideas into shipped features.
If you’ve ever wanted to build a 0→1 product where your architectural decisions define the company’s trajectory, this is that opportunity.
Architect and implement scalable backend systems, APIs, and data pipelines.
Design data models and caching strategies for real-time interactions and analytics.
Lead the integration of third-party APIs and internal microservices.
Collaborate with the product and frontend teams to deliver intuitive user-facing functionality.
Establish best practices around CI/CD, testing, and observability.
Mentor junior developers as the team grows.
OUR CURRENT TECH STACK
We move fast, but think long-term about architecture.
You’ll likely work with:
Backend: Node.js (TypeScript), Python (FastAPI), or Go
Frontend: React / Next.js
Databases: PostgreSQL + Redis for caching
Infrastructure: AWS (ECS, Lambda, CloudWatch)
DevOps: Docker, Kubernetes, GitHub Actions (CI/CD)
APIs: REST + GraphQL
Bonus: Experience with AI/ML integrations or event-driven systems
WHAT WE’RE LOOKING FOR
5–8+ years building production-grade applications at scale
Deep backend expertise and comfort working full stack when needed
Experience designing APIs, managing data flow, and scaling systems
Comfort in startup environments where you build and iterate quickly
Excellent communication — able to explain complex ideas simply
Curiosity for AI, automation, and elegant architecture
WHY JOIN US
Shape the foundation of a product that’s still being written
Collaborate directly with founders who are builders themselves
Work on complex, meaningful technical problems
Competitive pay + meaningful early equity
Hybrid culture rooted in trust, creativity, and technical excellence
HOW TO APPLY
To be considered for this contingent role, please complete the APPLY / Join Our Talent Deck at the bottom of the page.
Only shortlisted applicants will be contacted and added to our on-call roster.
FILLED
Door-to-Door Marketing Representative (NYC – Flexible, On-Call)
About the Role
We’re seeking energetic and personable individuals to join our marketing team in New York City. This is a flexible, on-call opportunity—ideal for someone who enjoys meeting people, engaging face-to-face, and making a strong first impression.
Responsibilities
Distribute flyers in targeted NYC neighborhoods
Engage with potential customers in a friendly and approachable manner
Represent our brand with professionalism and enthusiasm
Provide basic information about our services (training provided)
Qualifications
Outgoing, reliable, and comfortable interacting with people
Personable and charming, with great communication skills
Ability to work outdoors in varying conditions
Previous marketing or sales experience is a plus, but not required
Compensation
$20–$25/hour or $160–$200/day for a full 8-hour shift
Commission bonuses for every flyer that converts into a live client account
Paid promptly at the end of each marketing day
Schedule
On-call, daytime availability (late mornings to afternoons)
Flexible—work only on the days you’re available
Why Join Us?
This role offers a fun and flexible way to earn extra income while being part of a growing NYC-based company.
Apply today! We’re more interested in your personality and reliability than a long resume!
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HOW TO APPLY
To be considered for this contingent role, please complete the APPLY / Join Our Talent Deck at the bottom of the page.
Only shortlisted applicants will be contacted and added to our on-call roster.
FILLED - Contingent Technical Recruiter (Remote – Philippines)
Remote | Contract, As Needed
About the Opportunity
A rapidly growing, U.S.-based recruiting firm is expanding its on-call roster of remote talent professionals. We specialize in placing high-impact technical roles—including software engineers, DevOps professionals, cybersecurity experts, and data analysts—across U.S. and global markets. We’re now seeking a Contingent Technical Recruiter based in the Philippines to provide flexible, as-needed recruiting support.
This is a contract-based, contingent position. Engagement is not guaranteed and will occur only when client demand increases. It’s ideal for experienced recruiters looking for flexible, freelance opportunities.
Key Responsibilities
- Source and screen candidates for technical roles (engineering, data, cybersecurity, etc.)
- Execute Boolean and targeted searches across LinkedIn, job boards, and other platforms
- Evaluate candidate qualifications and alignment with client briefs
- Collaborate with lead recruiter to present polished candidate shortlists
- Communicate professionally with candidates via email, LinkedIn, or phone
- Maintain clear records and notes on outreach and pipeline status
Ideal Candidate
- 3+ years of experience in tech recruitment or sourcing for technical roles
- Familiarity with sourcing tools such as LinkedIn Recruiter, GitHub, and job boards
- Excellent English communication skills (written and verbal)
- Stable internet connection and reliable setup for remote work
- Proactive, independent, and able to work quickly when activated
- Located in the Philippines
- Bonus: Strong literacy in AI recruiting tools and prompt engineering (e.g., ChatGPT, Jasper, Notion AI) is a major plus
Compensation
₱500–₱750/hour (depending on experience and role complexity)
This is a contract, hourly role. You’ll only invoice for hours worked when activated.
How to Apply
To be considered for this contingent role, please complete the APPLY AND SUBMIT RESUME FORM at the bottom of the page.
Only shortlisted applicants will be contacted and added to our on-call roster.
This is a freelance, independent contractor role and does not constitute employment with Aionia.
FILLED - Contingent Virtual Assistant (Remote – Philippines)
Remote | Contract, As Needed
About the Opportunity
A growing U.S.-based business is expanding its on-call talent pool and is seeking a Contingent Virtual Assistant based in the Philippines.
This is a remote, contract-based, as-needed role. You’ll be contacted only when support is needed for administrative, research, or operational tasks.
Engagement is not guaranteed and will only occur during short periods of overflow work. This is ideal for a detail-oriented VA looking to earn flexibly on a freelance basis.
Key Responsibilities
- Organize and clean up email inboxes and folders
- Format resumes or documents in Google Docs
- Conduct light research and compile results
- Create spreadsheets and update records
- Support small admin tasks, scheduling, or file organization
Ideal Candidate
- 2+ years of experience as a virtual assistant or in admin support
- Familiarity with Google Workspace (Docs, Sheets, Gmail)
- Excellent written English and communication skills
- Strong attention to detail and ability to work independently
- Located in the Philippines with reliable internet
- Bonus: Experience with AI tools (e.g., Notion AI, ChatGPT)
Compensation
₱250–₱350/hour (depending on experience and task type)
This is a contract, hourly role. You’ll only invoice for hours worked when activated.
How to Apply
To be considered for this contingent role, please complete the APPLY AND SUBMIT RESUME FORM at the bottom of the page.
Only shortlisted applicants will be contacted and added to our on-call roster.
This is a freelance, independent contractor role and does not constitute employment with Aionia.
Know someone exceptional?
At Aionia, we partner with a small number of high-growth teams to place top talent across engineering, AI, and infrastructure. Many of our best hires come through trusted introductions.
If someone comes to mind, you can submit them below. If there’s a strong match, we’ll reach out—and if your introduction leads to a successful hire, you’ll receive a $1,000–$3,000 referral reward, paid after the candidate starts and completes an initial guarantee period.
We’re looking for strong builders—engineers, product minds, and technical operators from high-growth or rigorous environments. Please only submit candidates you personally know, who are new to Aionia, and whose permission you have.