Senior AI Engineer
About The Position
We're looking for a Senior AI Engineer who is, first and foremost, a strong software engineer—someone who writes clean, well-tested, production-grade code and brings the same engineering rigor you'd expect from any senior engineer on our team. On top of that foundation, you'll bring deep expertise in AI systems: building agentic workflows, deploying both commercial and open-source models, and designing intelligent features that work reliably at scale. You'll build the AI-powered capabilities at the core of our platform—systems that can reason, plan, and act on behalf of users while remaining trustworthy, explainable, and aligned with user intent. Because we deploy within our partners' infrastructure, you'll work with both commercial model APIs (such as Anthropic's Claude) and self-hosted open-weight models, choosing the right tool for each use case based on performance, cost, security, and deployment constraints.
Requirements
- 7+ years of software engineering experience, with a track record of shipping production systems
- Strong proficiency in Python and/or Go, with clean, well-structured code
- Solid understanding of software engineering fundamentals: system design, API design, testing, code review, CI/CD, and version control
- Experience with containerization (Docker, Kubernetes) and cloud infrastructure
- Comfort owning features end-to-end, from design through deployment and observability
- 3+ years of hands-on experience building AI/ML-powered features or products
- Experience building agentic AI systems—chat interfaces, multi-step workflows, tool-use patterns, and orchestration frameworks (LangChain, LangGraph, or similar)
- Working experience with both commercial LLM APIs (Anthropic, OpenAI) and open-weight models (LLaMA, Mistral, Qwen, or similar)
- Experience designing and implementing RAG pipelines with vector databases
- Strong understanding of prompt engineering and LLM behavior optimization
- Familiarity with model serving frameworks (vLLM, TGI, Triton, or similar) and inference optimization techniques
- Experience with model adaptation techniques (LoRA, QLoRA, PEFT, instruction tuning)
- Experience building evaluation and testing frameworks for AI systems
- A problem solver at heart—you dig into complex problems, explore options, and find practical solutions rather than waiting for direction
- Proactive and self-driven; you identify opportunities and risks before they become blockers
- Innovative and curious; you keep up with a fast-moving field and bring new ideas to the team
- Passionate about building AI systems that are both powerful and trustworthy
- Excellent communicator who can explain AI behavior and limitations clearly to any audience
Responsibilities
- Build Production Software
- Design and Build Agentic AI Systems
- Deploy and Operate AI Models
- Build RAG & Knowledge Systems
- Ensure AI Quality and Safety
- Adapt and Fine-Tune Models
- Monitor and Improve Production AI
- Mentor and Collaborate
Benefits
- Competitive salary, equity, and robust benefits package, including paid health, vision, dental, and disability coverage.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
