Youll work at the bleeding edge of generative AI - building RAG pipelines, agentic workflows, and LLM-powered products that are already shaping industries. This is a high-impact role with direct ownership over production AI systems.
Responsibilities
Build and maintain RAG (Retrieval-Augmented Generation) pipelines for enterprise clients
Design multi-agent orchestration systems using frameworks like LangChain or CrewAI
Integrate LLM APIs (OpenAI, Anthropic, Mistral) into scalable backend services
Implement prompt engineering strategies and evaluation frameworks
Work closely with clients to translate business requirements into AI solutions
Instrument and monitor LLM systems for quality, latency, and cost
Requirements
3+ years of software engineering experience with 1+ years in LLM/GenAI
Hands-on experience with LangChain,
LlamaIndex, or similar frameworks
Robust Python and API integration skills
Understanding of vector databases (Pinecone, Weaviate, pgvector)
Comfortable working across the full stack from model to UI
Nice to Have
Experience with open-source model deployment (Ollama, vLLM, TGI)
Knowledge of fine-tuning workflows (LoRA, QLoRA, PEFT)
Prior startup or consulting experience
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