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.

Work arrangement
No