
Senior AI Applications Developer
13 hours ago
We're seeking a seasoned developer to join our team and drive the creation of cutting-edge AI-powered applications. As an integral part of our product development process, you will leverage your expertise in building and shipping Large Language Model (LLM) features in production.
Our ideal candidate possesses a deep understanding of AI-native design principles and has a proven track record of translating raw model capability into efficient, reliable, and user-friendly features. You'll work closely with our DevOps team to architect robust systems, automate evaluation pipelines, and ensure seamless deployment using cloud-based infrastructure.
Responsibilities include building Model Context Protocol (MCP) servers, designing agentic clients, and developing efficient RAG pipelines that handle user intent parsing, tool orchestration, and structured response generation.
You'll also be responsible for automating LLM evaluations, setting up observability dashboards, and continuously refining prompts, embeddings, and model behavior based on user feedback and regression tests.
Required Skills and Qualifications:- 5–8 years of full-stack or backend development experience, with at least 1 year building AI-powered or LLM-based applications.
- AI-native mindset: test fast, trace deeply, and pause to reframe when needed.
- Strong Python and TypeScript skills.
- Experience with either AWS or GCP stacks, such as Lambda, Bedrock, DynamoDB, OpenSearch Vector Search or Cloud Functions, Vertex AI, Firestore, BigQuery, Vector Search.
- Familiarity with LangChain, Bedrock SDK, and vector database schema design.
- Understanding of prompt design, embeddings, and agentic workflows.
- CICI/CD fluency GitHub Actions, containerized deployment, test-first habits.
- Experience with LLM evaluation tools like Promptfoo, LangSmith, or Guardrails.
- 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.
We're an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members.
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