Publicis Sapient - Senior Python/Generative AI Engineer

Senior Python + Generative AI EngineerLocation : Gurgaon / Bangalore (Hybrid)Experience : 5 - 10 YearsWhat youll actually work on :Were looking for engineers who have moved beyond AI demos and notebooks people who have built, deployed, and maintained real systems powered by LLMs.Youll design and build production-grade AI applications where reliability, latency, cost, and evaluation matter as much as accuracy.Typical problems you may solve :- Designing retrieval pipelines for enterprise knowledge- Reducing hallucinations and improving response grounding- Building agent workflows and tool integrations- Scaling LLM applications on cloud infrastructure- Monitoring and evaluating model performance in production- Optimizing token usage, latency, and cost trade-offsCore Responsibilities :- Build backend services using Python- Develop and productionize LLM applications (RAG / Agents / Assistants)- Design prompt strategies, system instructions, and evaluation logic- Integrate vector databases and data pipelines- Work with cloud platforms to deploy scalable AI workloads- Collaborate with product and data teams to translate business problems into AI systems- Implement observability, testing, and guardrails for AI behaviorRequired Skills :- Strong Python fundamentals (APIs, async processing, performance optimization)- Hands-on experience building applications using LLMs (OpenAI / open-source models)- Experience with RAG architectures and embeddings- Familiarity with frameworks like LangChain / LlamaIndex / similar orchestration tools- Experience with vector databases (Pinecone, Weaviate, Milvus, FAISS, etc.)- Cloud exposure (AWS / Azure / GCP) and containerized deployments- Understanding of prompt engineering, evaluation, and hallucination handling- Experience debugging production issues (latency, reliability, scaling)Good to Have :- Fine-tuning / adapters (LoRA / PEFT)- Knowledge graphs or semantic search- Model monitoring & evaluation frameworks- Working with streaming pipelines- Frontend integration for AI applicationsWhat we value :- Engineers who think in systems, not scripts- Curiosity about failure modes, not just success cases- Ability to explain technical trade-offs clearly- Ownership from prototype production improvementLocation & Experience : Gurgaon / Bangalore 5- 10 years experience preferredHow to apply :If youve built GenAI systems that people actually use (not just demos), Id love to talk.Share your profile or GitHub and a short note on something youve shipped. (ref:hirist.tech)