AI Engineer (Mid-Level)

About the role

Join a fast-moving, pre-seed-backed AI startup building the next generation of agentic systems that automate complex, multi-step workflows across regulated and enterprise domains — including healthcare, legal, fintech, logistics, and compliance. As a mid-level AI Engineer on the core product team, you'll own production LLM-based services end-to-end, collaborate closely with founders and product, and ship features that deliver measurable impact for real users.

Key responsibilities

• Design, build, and maintain agentic systems that automate complex, multi-step workflows across regulated industries.
• Own production retrieval-augmented generation (RAG) pipelines and retrieval infrastructure, including vector databases, embeddings, and indexing for domain-specific search at scale.
• Implement multi-agent orchestration, tool‑calling, memory, and reasoning components to deliver robust AI‑driven user experiences.
• Develop evaluation and safety infrastructure to measure model performance, surface regressions, and enforce enterprise‑level trust and reliability.
• Ship full‑stack AI products from MVP to enterprise‑grade — designing APIs and data models, writing frontend and backend code, and operating production systems with CI/CD, monitoring, and testing.
• Collaborate with founders, product, and design to prioritize work, define success metrics, and iterate based on user feedback and telemetry.

Required profile

• 2–8 years of software engineering experience with demonstrated delivery of shipped user‑facing or backend products.
• Practical experience deploying LLMs or LLM‑based services in production, including prompt design, orchestration, and tool integration.
• Proficiency across the stack: Python plus TypeScript/React (or equivalent), cloud platforms (AWS or GCP), and relational or NoSQL databases.
• Working knowledge of RAG patterns, vector databases, embeddings, and retrieval pipelines, with sound judgment on when to apply each approach.
• Experience building automated tests, evaluations, and monitoring for AI systems to ensure reliability beyond demos.
• Experience designing API‑driven, high‑throughput systems and real‑time product features.

Required skills

• Python
• TypeScript
• React
• AWS
• GCP
• Relational databases
• NoSQL databases
• Vector databases
• Embeddings
• Retrieval pipelines
• LLM deployment
• Prompt design
• CI/CD
• Monitoring
• Automated testing

What we offer

• Salary: $180,000 – $400,000 USD annually (base and equity depending on experience).
• Early‑stage equity in a venture‑backed startup.