Generative AI Engineer
On-site · Mumbai, Maharashtra, India
Job Summary
Generative AI Engineer to design and build GenAI-powered solutions across industries, collaborating with Data Scientists, ML and Platform Engineers to deploy cutting-edge models. Responsibilities include building applications powered by LLMs (OpenAI, Claude, Mistral) using LangChain and LlamaIndex, implementing RAG pipelines with vector databases for grounding LLM responses, developing multimodal AI solutions and autonomous agents, driving MLOps and CI/CD for ML pipelines, designing robust prompt templates (CoT, ReAct, Graph-of-Thought, Agent flows), improving model reliability and UX, deploying GenAI models on AWS/GCP/Azure, ensuring performance, security, compliance (GDPR, Responsible AI), integrating GenAI into microservices/APIs, benchmarking LLMs, evaluating fine-tuning strategies (PEFT, LoRA, RLHF), supporting PoCs and enterprise rollouts, and documenting frameworks and best practices. Requires Bachelor’s/Master’s in CS/AI, 5+ years in NLP/ML/AI with 3+ in GenAI, strong Python with PyTorch/Hugging Face/LangChain, experience with cloud AI services and vector databases, prompt engineering, and strong communication and collaboration skills.
Required Qualifications
- Bachelor’s or Master’s degree in computer science, AI, or a related field.
- 5+ years of experience in NLP/ML/AI with at least 3 years hands-on in GenAI.
- Strong coding skills in Python with frameworks like PyTorch, Hugging Face, LangChain, and LlamaIndex.
Apply with one swipe on Sorce. We auto-fill applications and apply on your behalf — no cover letters, no 40-minute forms.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.