Description

Key Responsibilities

• Lead and mentor a cross-functional team of AI/ML developers and engineers.
• Define technical strategy, architecture, and development standards for AI solutions.
• Design and develop AI applications using Python, LangChain, LangGraph, RAG, and Agentic AI.
• Drive end-to-end delivery of Generative AI and intelligent automation solutions.
• Design and implement LLM-powered applications, AI agents, and multi-agent workflows.
• Develop and optimize Retrieval-Augmented Generation (RAG) pipelines.
• Integrate LLMs with enterprise data sources, APIs, knowledge bases, and databases.
• Apply NLP and knowledge graph concepts to build intelligent AI solutions.
• Establish best practices for code quality, testing, CI/CD, deployment, monitoring, and scalability.
• Collaborate with product managers, architects, and business stakeholders to convert requirements into technical designs.
• Evaluate emerging AI technologies, frameworks, and tools and drive continuous innovation.
• Troubleshoot complex technical issues and provide hands-on technical leadership.
• Ensure AI solutions meet security, reliability, performance, and maintainability standards.

Required Skills

• 8–10+ years of software engineering, AI/ML, or related experience.
• Strong hands-on experience with Python.
• Strong expertise in LangChain.
• Strong expertise in LangGraph.
• Extensive experience with RAG (Retrieval-Augmented Generation).
• Strong understanding and hands-on experience with Agentic AI / AI Agents.
• Strong understanding of Natural Language Processing (NLP).
• Experience designing and developing LLM-based applications.
• Experience with multi-agent systems and AI workflows.
• Strong knowledge of AI solution architecture and development best practices.
• Experience leading or mentoring AI/ML development teams.
• Experience with software development lifecycle, code quality, testing, and deployment practices.

Good to Have

• Experience deploying AI solutions on AWS, Azure, or GCP.
• Knowledge of CI/CD and DevOps practices.
• Experience with NoSQL databases and GraphDB/Knowledge Graphs.
• Experience with automated decision-making systems.
• Experience working with product managers and business stakeholders.
• Familiarity with emerging Generative AI tools and frameworks.
• Experience with AI testing and evaluation frameworks.
• Knowledge of blockchain technologies is a plus

Key Skills

Education

Bachelor's degree