Artificial Intelligence Engineer

Position : AI Lead/ Architect role

Location : BLR/ HYD/ Chennai

Key Responsibilities

• Design, build, and orchestrate multi-agent systems capable of autonomous decision-making and task execution.
• Lead the development and deployment of Generative AI solutions using LLMs and fine-tuned models.
• Implement RAG (Retrieval-Augmented Generation) pipelines with robust document parsing, re-ranking, and context optimization.
• Integrate AI agents into enterprise systems through APIs, function calling, and workflow orchestration frameworks (e.g., LangGraph, CrewAI, LlamaIndex, Haystack).
• Fine-tune and evaluate LLMs (using LoRA, PEFT, or QLoRA) for domain-specific use cases.
• Collaborate cross-functionally with data, platform, and DevOps teams to ensure scalable and secure AI deployments.
• Ensure production-grade quality performance optimization, monitoring, and continuous improvement.
• Provide technical mentorship to junior engineers (minimal team handling required).

Required Skills & Experience

• 7 -15 years of total experience, with Min 3+ years in Generative AI and 1+ years Agentic AI with Min 2 or 3 Production grade implementation at Enterprise Level.
• Strong background in Machine Learning, Deep Learning, and Python programming.
• Hands-on experience with LLM frameworks (LangChain, LlamaIndex, Haystack, Semantic Kernel, etc.).
• Proficiency in multi-agent orchestration (CrewAI, LangGraph, Swarm, Autogen, or custom frameworks).
• Expertise in vector databases (FAISS, Pinecone, Chroma, Weaviate, etc.) and embedding models.
• Proven fine-tuning experience using LoRA, QLoRA, or PEFT.
• Experience in enterprise-grade GenAI implementations from PoC to production.
• Strong understanding of RAG architecture, document chunking, context optimization, and model evaluation.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Excellent problem-solving and debugging skills.