AI lead

JD for AI Lead : [10-12 years]

We are looking for a highly skilled and motivated Agentic AI & LLM Technical Lead with deep expertise in developing and deploying intelligent systems using cutting-edge AI technologies, Python, and modern API frameworks. The ideal candidate will have strong experience with Agentic AI workflows, machine learning, LLM integrations, and end-to-end backend development using Flask, along with robust DevOps practices, guiding a team, and driving innovation in AI-driven solutions.

Key Responsibilities:

• Lead the design and development of Agentic AI solutions, integrating LLMs, tools, and memory modules for autonomous decision-making systems.
• Architect and build scalable backend services and RESTful APIs using Python and Flask.
• Implement and optimize machine learning pipelines, LLM fine-tuning or prompt engineering strategies for various NLP tasks.
• Model packaging, inference optimization, metrics, guardrails.
• Design data models and manage relational and NoSQL databases like PostgreSQL and Cosmos DB.
• Ensure robust version control and collaboration using Git/GitHub, including branching strategies and code reviews.
• Integrate CI/CD pipelines for automated testing, deployment, and monitoring using GitHub Actions or similar tools.
• Collaborate with stakeholders to define technical requirements, ensure alignment with business goals.
• Ensure end-to-end delivery of scalable, maintainable AI systems.
• Provide technical leadership and mentorship to engineers and AI developers.
• Conduct code reviews, ensure adherence to best practices.

Required Skills:

• Proven expertise in Agentic AI systems, LLMs, and OpenAI tools.
• Strong background in ML & NLP.
• Strong hands-on experience in Python.
• Excellent problem-solving and team leadership skills.
• Building inference services (transformers, sentence embeddings), RAG with vector stores (FAISS/PGVector), and simple fine-tuning or model evaluation.
• Proficient in managing code versioning, branching strategies, and deployment using Git. Experienced with tools like GitHub, GitLab, and Bitbucket for CI/CD pipelines and collaborative development.
• Hands-on experience working in Agile environments.
• Skilled in designing and executing automated test cases using tools like Selenium, pytest, Cypress.
• Proficient in RDMS(PostgreSQL/MySQL).
• Experience in cloud platforms (Azure/AWS)

Good to Have:

• Working knowledge of frontend technologies like React.js / Angular
• Familiarity with containerization (Docker/Kubernetes).

Qualifications

• Bachelor's/Master's in Computer Science, Engineering, or equivalent experience.
• Portfolio/GitHub with production-grade full-stack and AI-integration examples is a plus.

Soft Skills:

• Strong communication and stakeholder management.
• Ability to lead cross-functional teams.
• Self-driven with a focus on innovation and delivery excellence.