
AI-Powered Application Developer
3 days ago
Design and Develop AI-Powered Applications
- Key Responsibilities:
- Create efficient Model Context Protocol (MCP) servers and agentic clients that handle user intent parsing, tool orchestration, and structured response generation
- Develop optimized RAG pipelines with chunk decay, latency budgeting, and cost-aware vector search
- Automate evaluation pipelines to test LLM outputs for relevance, accuracy, and coherence
- Collaborate with DevOps to implement infrastructure using CDK or Terraform
- Set up observability dashboards for prompt performance, latency, and failure traceability
- Continuously refine prompts, embeddings, and model behavior based on user feedback and regression tests
- 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, pause to reframe when needed
- Strong Python and TypeScript skills
- Experience with either AWS or GCP stacks, such as AWS: Lambda, Bedrock, DynamoDB, OpenSearch Vector Search or GCP: 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
- CI/CD fluencyGitHub Actions, containerized deployment, test-first habits
- Experience with LLM evaluation tools like Promptfoo, LangSmith, or Guardrails
- Build scalable products that get investor love
- Be part of AI-native product development, integrating AI tools into how we design, build, and ship
- Global exposure: directly collaborate with US-based startups, VCs, and product teams
- Learn fast in 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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