Publicis Sapient - Senior Python/Generative AI Engineer

Senior Python + Generative AI Engineer Location : Gurgaon / Bangalore (Hybrid) Experience : 5 - 10 Years What 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-offs Core 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 behavior Required 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 applications What 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 improvement Location & Experience : Gurgaon / Bangalore 5- 10 years experience preferred How 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.