**Lead AI Workflow Developer

7 days ago

vellore, India beBeeArtificial Full time

**AI Engineer Role Summary**The role of an AI engineer is a dynamic and challenging position that requires a unique blend of technical expertise, creativity, and problem-solving skills. In this capacity, you will be responsible for designing, building, and iterating LLM-powered workflows, which involve the retrieval, routing, tool use, function calling, and multi-step agents.Main Responsibilities:Designing and implementing agentic apps that plan, call tools/APIs, and maintain state across tasks.Building RAG pipelines, including data ingestion, chunking, embeddings, indexing, and latency-optimized retrieval.Owning prompt engineering & evaluation, including A/B tests, guardrails, metrics like latency, cost, quality, and safety.Productionizing models/workflows with observability (traces, tokens, failures), cost controls, and fallbacks.Shipping backend services and APIs (e.g., Python/FastAPI) integrating with data stores and vector DBs.Collaborating with product management/design to translate requirements into reliable, user-facing features.Required Skills & Qualifications:Hands-on experience with LLMs (OpenAI, Claude, Llama, etc.) and orchestration frameworks (LangChain, LlamaIndex, or custom).Python proficiency; building RESTful services, writing clean, tested code.Experience with RAG, vector databases (Pinecone, Weaviate, FAISS, Qdrant), embeddings.Understanding of agent patterns (tool calling, planning/execution, memory) and workflow engines.Familiarity with prompt design, safety/guardrails, and evaluation frameworks.Basics of cloud & deployment (AWS/GCP/Azure), Docker, Git, CI/CD.Strong debugging mindset and bias to ship.

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