Job Requirements minimum requirement to carry out the work – you might want to point out “additional plus/nice to have skills” that are not mandatory

Education and work experience

- Master's degree + 5 years of industry experience, or PhD + 2 years of industry experience.
- Background in Computer Science, Computer Engineering, IT, or a related field.
- Industry and delivery experience prioritized over purely academic roles.

Technical & Professional Knowledge

Technical & Professional Knowledge

- AI & Intelligent Systems Expertise: 2–3+ years of hands-on experience working with AI in production environments. Strong practical knowledge of AI agents, agent-based systems, model integration, orchestration, and lifecycle management. Ability to translate AI capabilities into real business value.
- Software Engineering: Proven experience as a software developer with strong coding skills in Python (Pydantic, FastAPI). Solid understanding of clean architecture, code quality, testing, documentation, and version control. Capable of mentoring engineers and leading code reviews.
- Architecture & Technical Vision: Proven ability to define and drive an AI architecture vision. Experience designing scalable, secure, and maintainable AI systems. Strong systems thinking across data, AI models, APIs, and cloud platforms.
- DevOps & Production Readiness: Proven experience in DevOps engineering for AI-enabled systems. Hands-on experience with CI/CD pipelines, cloud infrastructure and containerization (Azure, AKS, Docker),



and monitoring/logging/reliability tooling.
- Project & Delivery Leadership: Experience in project management including planning, estimation, and delivery tracking. Involved in projects both as project manager and hands-on developer. Strong ownership mindset managing scope, risks, and dependencies.

Nice to Have
- Experience with multi-agent architectures, MCP, and A2A (Agent-to-Agent) protocols.
- Familiarity with LangGraph, LangChain, or Microsoft Agent Framework.
- Experience with Databricks / Unity Catalog for large-scale data context.
- OpenTelemetry and distributed tracing experience.
- Exposure to enterprise integration patterns (SAP, Salesforce).

Tech Stack
- Languages: Python (Expert), TypeScript (Plus).
- Frameworks: LangGraph, LangChain, FastAPI, Pydantic, Microsoft Agent Framework.
- Infrastructure: Azure (AKS, AI Foundry, Functions), Docker, Redis, PostgreSQL.
- AI/LLM: OpenAI, Anthropic, Mistral, Azure AI Services.
- Standards: MCP, A2A, OpenTelemetry.
- DevOps: Git, CI/CD, monitoring & observability tooling.

Key Personal Attributes
- Strong analytical and problem-solving skills.
- Ability to balance strategic leadership with hands-on execution.
- Explicit communicator across technical and non-technical audiences.
- Leadership mindset with mentoring capabilities.
- Results-driven and delivery-focused.
- Proven ability to collaborate effectively across international, multicultural teams in a global environment

📌 AI Technical Lead (Telangana)
🏢 Basf
📍 Telangana