Gen AI Engineer (LLMs / SLMs) :: Remote with travel

Job Title: Lead Gen AI Engineer C2H Location: Remote with travel Skills: Must Have: Document labelling, Generative AITech Stack: LLMs, SLMs, Python, Hugging Face, LangChain / LlamaIndexExp: 15+ yrs AI/ML engineering, and recent GenAI project deliveryBonus: Gen AI implementation using on-prem stack (No cloud)

Position:Gen AI Engineer Location: Remote Duration: 6+ Months Job Details: Deep understanding of Gen AI and Large Language Models and the ability to design, develop and deploy Gen AI solutions that address business problems. Strong knowledge and previous experience on building ML NLP models, textual data Strong knowledge on LangChain, LlamaIndex, Vector databases like Redis, Chroma & Pinecone. Develop and maintain documentation for Gen AI-based solutions Familiarity with cloud computing platfo

Title: Lead AI/ML Architect (Gen AI) Location: Remote Duration: Long Term Contract Keynote : (Must-Have Very Strong Requirement) Candidate must have very strong, hands-on experience in both Machine Learning AND Generative AI (LLMs). Should not be limited to theoretical knowledge must have built and deployed real-world ML models and GenAI applications in production. Strong expertise in end-to-end ML lifecycle + LLM-based solution design (RAG, prompt engineering, fine-tuning). Profiles with only

Job Description: Architect and implement agentic GenAI systems using modern LLM orchestration frameworks (LangChain, LangGraph, CrewAI, AutoGen, etc.). Design multi-agent architectures including plannersolver patterns, hierarchical agents, autonomous teams, and goal decomposition workflows. Define end-to-end GenAI architecture covering model selection, orchestration, memory, tools, security, observability, and deployment. Build reusable agent tooling, APIs, and memory architectures for coordinat