Lead Artificial Intelligence

Parkar Global Technologies; Pune District; On-site; INR 4,500,000 - 7,000,000; Full time

Job summary

Parkar Global Technologies in Pune, India is seeking a Lead AI Systems Developer with 5-7 years of hands-on experience to design, build, and deploy production-grade AI solutions leveraging Generative AI, LLMs, and retrieval-augmented generation.

You will architect multi-agent systems, implement scalable AI pipelines, and drive AI engineering standards across Azure, AWS, and Google Cloud environments while mentoring junior engineers and collaborating with product teams.

Job description

Job Summary

We are seeking a highly skilled Lead AI Systems Developer with 5-7 years of experience in designing, building, and deploying production-grade AI solutions. The ideal candidate will have strong expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and AI system architecture. This role requires hands‑on experience in developing scalable AI applications, multi‑agent systems, evaluation frameworks, and cloud‑native deployments while driving technical excellence and innovation across enterprise AI initiatives.

Roles & Responsibilities

• Design, architect, and implement enterprise-grade AI solutions leveraging LLMs, RAG, Agentic AI, and multi‑agent architectures.
• Build and maintain AI pipelines, orchestration frameworks, and reusable AI components for production environments.
• Develop and optimize RAG systems, including document ingestion, chunking, embeddings, vector indexing, retrieval optimization, and reranking.
• Implement AI agents, tool calling, function calling, and workflow automation using frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, or AutoGen.
• Design and maintain evaluation frameworks to measure accuracy, latency, groundedness, cost, and overall system performance.
• Establish AI guardrails, observability, monitoring, tracing, and governance mechanisms for reliable AI operations.
• Build scalable APIs, microservices, and backend services using Python, FastAPI, and modern software engineering practices.
• Deploy and manage AI applications across Azure, AWS, or Google Cloud environments.
• Collaborate with product owners, architects, business stakeholders, and engineering teams to deliver AI-powered business solutions.
• Lead proof‑of‑concepts through production deployment while ensuring scalability, reliability, and security.
• Mentor junior engineers, conduct code reviews, and contribute to AI engineering standards and best practices.
• Drive continuous improvement in AI architecture, model optimization, LLMOps, and enterprise AI adoption.

Required Skills

• Experience designing and deploying production AI systems serving enterprise‑scale workloads.
• Strong understanding of AI architecture patterns and scalable AI platform design.
• Experience with LLM observability, testing, evaluation, and monitoring frameworks.
• Hands‑on experience in MLOps/LLMOps and model lifecycle management.
• Proven track record of leading AI initiatives from POC to production.
• Experience mentoring engineers and driving technical leadership across teams.
• Strong stakeholder management and client‑facing communication skills.