Senior AI/ML Engineer

Role Description

We’re looking for a Senior AI/ML Engineer who will be working at the intersection of LLMs, real-time signal processing, and enterprise decision-making. This is not a research role or an isolated AI team position. You’ll sit alongside domain engineers as you ship production AI systems to enterprise customers.

This is not the typical AI/ML engineering role. We’re looking for someone who uses AI heavily in their own daily work, has built and shipped features powered by LLMs and autonomous agents, and has strong opinions on what good AI product engineering actually looks like. If your go-to move when facing a complex problem is to reach for an agent pipeline rather than a static script, you’re the kind of engineer we have in mind.

You’ll initially pair with our external AI partners to absorb their work and establish the patterns the broader engineering team will follow. Over time, you become the internal anchor for AI engineering — the person the rest turn to for prompt design, evaluation strategy, model selection, and agent architecture decisions.

What you’ll do

• Signal detection and anomaly detection
• Insight synthesis engine
• Planning Rules compiler
• Evaluation and testing frameworks
• MCP tool definitions

Qualifications

• A track record of shipping LLM-powered features or products — prototypes don’t count; we want to see things that real users have relied on.
• Hands-on experience orchestrating agents — multi-step reasoning, tool use, autonomous action with guardrails. Frameworks like LangChain, LlamaIndex, CrewAI, AutoGen, or equivalent (including rolling your own).
• Deep LLM engineering fundamentals: prompt engineering, RAG architectures, function calling / tool use, context management, evaluation-driven development.
• Production-quality engineering practices — you write code with tests, participate in code review, care about CI/CD and observability. You build systems that run reliably in production, not notebook prototypes.
• Experience with event-driven or streaming data systems — CDC events, real-time pipelines, and the patterns that come with them.
• 5+ years in software engineering, with 3+ years focused on AI/ML in production systems.
• Ability to work embedded in a product team — collaborating daily with domain engineers, product managers, and designers, not just other AI specialists.

Requirements

• AWS Bedrock, Azure OpenAI, or GCP Vertex AI — we’re running on Bedrock with Claude today.
• MCP (Model Context Protocol) or similar tool-use / agentic frameworks.
• Anomaly detection, time-series analysis, or statistical signal processing.
• Building confidence scoring or calibration systems for AI outputs.
• A track record of absorbing work from external partners and making it your own — you know how to inherit an architecture, evaluate its decisions, and improve what you find.
• Proficiency in Kotlin or TypeScript alongside Python — our product platform is Kotlin/TypeScript; our AI platform is Python. You’ll work across both.

Nice to Have

• Monte Carlo simulation, optimization algorithms, or scheduling systems.
• Background in portfolio management, project management, or resource planning.
• Experience in enterprise SaaS — multi-tenancy, compliance, audit trails.
• Contributions to open-source AI/ML projects.

Mindset

• You use AI tools heavily in your own daily work — not as a novelty, but because they make you meaningfully more effective.
• You have strong opinions (loosely held) about what makes AI products trustworthy versus impressive-but-fragile.
• You’re energized by a space that’s moving fast, and you track model releases, emerging agent frameworks, and new patterns as they happen.
• You’re as comfortable writing an Architecture Decision Record as you are writing a prompt.

Benefits

• Remote First work environment
• Unlimited vacation in most of our locations!!
• Great benefits including health, dental, vision and savings plan.
• Perks such as training reimbursement, WFH reimbursement, and more.
• Diverse and dynamic teams with challenging and exciting work.
• An opportunity to have a real impact on our business.
• A great range of social activities (both in person and virtual).
• Optional in person meet-ups and the ability to travel to our international offices
• Employee referral program
• And so much more!