Related skills
grpc python rest llms rag📋 Description
- Own end-to-end GenAI/AgenticAI development lifecycle from prototyping to production.
- Build systems with time-series modeling, embeddings, agents, and retrieval pipelines.
- Design LLM-powered workflows such as RAG pipelines, tool usage, multi-agent orchestration.
- Develop AgenticAI apps that integrate sensor data, unstructured text, and ML outputs.
- Drive architecture decisions and deployment patterns for AgenticAI systems.
- Partner with Product, Engineering, Applied AI, and domain experts to translate problems into scalable solutions.
🎯 Requirements
- Bachelor’s degree in Computer Science, IT, Engineering, or related field (B.Tech/B.E. or equivalent).
- Master’s degree a plus, but not required.
- 2–4 years in Data Science/ML/AI/GenAI.
- Hands-on GenAI/AgenticAI apps in production.
- Strong experience with LangChain, CrewAI, AutoGen, LangGraph.
- LLM-based workflows: prompting, embeddings, RAG, tooling, orchestration.
- Familiarity with HITL/LLM-as-a-judge/deterministic evaluation, fine-tuning.
- Observability/experimentation tooling like LangSmith or similar.
🎁 Benefits
- Stock options
- Paid parental leave
- Flex PTO
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