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Remote, mid-level (4+ years) GenAI role with broad backend and deployment expectations increases competition.
Role requires specialized GenAI/LLM and MLOps skills, moderately limiting cross-industry transferability.
Explicit 4+ years plus mandatory GenAI, LLM, backend and cloud deployment skills creates high filter strictness.
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Develop and deploy large language model (LLM), retrieval-augmented generation (RAG), and agentic AI systems with ownership of end-to-end solutions.
Design and implement document intelligence pipelines using technologies such as LangChain, LangGraph, and LlamaCloud.
Deploy and deliver production-ready AI services on cloud platforms including AWS, GCP, or Azure in a fast-paced environment.
4+ years of relevant experience in GenAI/LLM-based systems and backend development.
Proficient in Python and backend frameworks like FastAPI or Django.
Hands-on experience with RAG, embeddings, vector databases, ML, MLOps, and model evaluation.
Location: Remote (India); Employment Type: Part-Time freelance/contract/consulting role.
Experienced in building and shipping production-grade generative AI solutions with strong ownership and independence.
Familiar with AI development frameworks and cloud deployment (LangChain, LangGraph, LlamaCloud, AWS/GCP/Azure).
Capable of rapidly delivering end-to-end AI systems, demonstrating deep backend and ML engineering skills aligned with GenAI projects.