Senior Artificial Intelligence Engineer - LLM

Job Description

Description Job Title : Sr AI Engineer Location : Mumbai, Hybrid Position Overview The Senior AI Engineer reports to the Head of Technology and is responsible for the entire lifecycle of AI solutions, from design to deployment. This includes using multi-agent workflows, advanced knowledge retrieval, and large language models to solve enterprise challenges, thereby improving business efficiency, innovation, and strategic decision-making. The role involves leading projects such as AI Copilots, Enterprise Search Solutions, Summarization Engines, and Intelligent Automation Tools, ensuring they are robust, scalable, and production-ready. A key aspect of the role is mentoring junior AI Engineers and maintaining high engineering standards. This is a full-time hybrid position based in Mumbai. Key Responsibilities Core Functional Responsibilities : Build and deploy agentic systems and multi-agent workflows using frameworks like LangChain, LlamaIndex, and OpenAI SDK. Develop RAG pipelines using embeddings and vector databases (e.g., FAISS, Pinecone, Weaviate, Qdrant). Fine-tune and optimize LLMs (GPT-4, Claude, LLaMA, Mistral, Gemini) using techniques like LoRA/QLoRA and quantization. Ensure solutions are secure and compliant, with guardrails, safe API usage, and PII protection. Implement agent monitoring and evaluation with tools like LangSmith or AgentOps to track and improve performance. Deliver real-world enterprise use cases such as AI copilots, workflow orchestration, and intelligent search systems. Mentor junior AI Engineers, reviewing their work, sharing best practices, and supporting their growth. Collaborate with product, data, and DevOps teams to bring AI solutions to production at scale. Demonstrated knowledge of agentic AI frameworks - Practical experience in Small Language Model (SLM) implementation. Required Skills & Experience General & Cross-Functional : Strong knowledge of LLMs and Gen-AI applications, with hands-on experience in fine-tuning and prompt engineering. Proven experience in RAG pipelines and working with vector databases. Practical expertise in agent frameworks (LangChain, LlamaIndex, etc.) and multi-agent orchestration. Ability to deploy and scale models on cloud platforms (AWS, Azure, HuggingFace, etc. Proficiency in Python or similar programming languages. Experience with LLMOps (monitoring, evaluation, cost optimization). Strong track record of delivering enterprise-grade AI solutions, not just prototypes. Familiarity with agent monitoring/debugging tools (LangSmith, AgentOps). Experience mentoring or guiding junior engineers in a technical team. (Bonus) Experience fine-tuning open-source LLMs or contributing to community projects. (Bonus) Exposure to autonomous agent use cases such as research copilots or intelligent task : Essential B.Tech. Experience should be minimum 6 yrs to maximum 7-8yrs. Should have strong knowledge of Gen AI, Agentic systems and Multi Agent. Core attributes Communication, Leadership, Tech savvy. Preferred Industry-specific experience : BPO/KPO. Systems or tools experience : Gen AI, AI Agentic and Multi Agent. What We Offer Work Model : Hybrid. Development : Training, mentorship, or career growth opportunities. Culture : Inclusive, collaborative, and people-first Perks/Benefits : Provident Fund and Health Insurance (ref:hirist.tech)