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AI Engineer for Product Development
2 weeks ago
Job Summary:
We are seeking a skilled Artificial Intelligence Engineer to join our team. As an AI Applications Developer, you will be responsible for translating raw model capability into lean, reliable, and user-ready features.
The ideal candidate will have 5-8 years of engineering experience, including at least 1 year building and shipping LLM-powered features in production.
- Build Model Context Protocol (MCP) servers and agentic clients that handle user intent parsing, tool orchestration, and structured response generation
- Architect efficient Retrieval Augmentation Generation (RAG) pipelines with chunk decay, latency budgeting, and cost-aware vector search
- Automate evaluation pipelines that test LLM outputs for relevance, accuracy, and coherence
- Work closely with DevOps to codify and deploy infrastructure using Cloud Development Kit (CDK) or Terraform
- Set up observability dashboards for prompt performance, latency, and failure traceability
You will continuously refine prompts, embeddings, and model behavior based on user feedback and regression tests.
About the Role:
This is an exciting opportunity to work on products that get investor love and scale to global audiences. You will be part of AI-native product development, integrating AI tools into how we design, build, and ship.
Requirements:- 5–8 years of full-stack or backend development experience, with at least 1 year building AI-powered or LLM-based applications
- Strong Python and TypeScript skills
- Experience with either AWS or GCP stacks
- Familiarity with LangChain, Bedrock SDK, and vector database schema design
- Understanding of prompt design, embeddings, and agentic workflows
- CI/CD fluencyGitHub Actions, containerized deployment, test-first habits
Why Join Us?
- Build for scale: Work on products that get investor love and scale to global audiences
- Be part of AI-native product development: Integrate AI tools into how we design, build, and ship
- Global exposure: Directly collaborate with US-based startups, VCs, and product teams
- Learn fast: Small, elite teams with zero bureaucracy and high ownership
- See your impact: Every decision you make will shape user experience and business outcomes
- Languages: Python, TypeScript
- Frameworks: LangChain, FastAPI, Next.js
- Cloud: AWS (Bedrock, Lambda, DynamoDB, OpenSearch Vector Search) or GCP (Vertex AI, Cloud Functions, Firestore, BigQuery, Vector Search)
- Dev Tools: GitHub Copilot, Cursor
- Evaluation & Safety: Promptfoo, LangSmith, Guardrails
- DevOps: GitHub Actions, CDK or Terraform, Docker, Prometheus, Grafana
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members.