Python GenAI Agentic AI Developer

Job Description - Python / GenAI / Agentic AI Developer
Experience: 5 Years
Location: Chennai / Onsite
Employment Type: Full-Time

Key Responsibilities
Design develop and maintain scalable flexible and user-friendly applications using Python LLMs and Cloud Architecture.
Develop highly available low-latency cloud-native applications with a strong focus on performance reliability and scalability.
Design and develop AI Agents with deep expertise in:
Agent Orchestration
Reasoning and Planning Loops
Tool/Function Calling
Multi-Agent workflows
Context and memory management
Integrate LLMs and Generative AI capabilities into enterprise applications and analytics solutions.
Develop and optimize REST APIs using FastAPI and other relevant Python frameworks.
Work closely with cross-functional teams including Data Science ML Engineering Cloud Product and Business teams to deliver impactful AI-driven solutions.
Participate in the complete Software Development Life Cycle (SDLC) including conceptualization architecture/design development testing deployment and production support.
Build cloud-native solutions leveraging AWS/Azure/GCP services and modern cloud architecture principles.
Optimize application performance API response times resource utilization and overall system scalability.
Implement appropriate logging monitoring error handling security and observability mechanisms.
Continuously improve system performance reliability maintainability and scalability.
Follow software engineering best practices including clean code design patterns code reviews unit testing CI/CD and version control.

Required Skills
Strong hands-on experience in Python development.
Strong understanding of Generative AI LLMs and AI application development.
Hands-on experience building AI Agents / Agentic AI applications.
Strong knowledge of Agent Orchestration and Reasoning/Planning loops.
Experience with LLM frameworks/tools such as LangChain LangGraph LlamaIndex Semantic Kernel AutoGen CrewAI or equivalent.
Strong experience with FastAPI and RESTful API development.
Experience with Cloud Architecture and cloud-native application development.
Hands-on experience with at least one major cloud platform: AWS Azure or GCP.
Strong understanding of microservices distributed systems API integration and scalable architectures.
Experience with Docker Kubernetes CI/CD and cloud deployment practices is preferred.
Good understanding of SQL/NoSQL databases caching messaging and asynchronous processing.
Strong understanding of SDLC testing debugging and production support.

Required Skills:

PYTHONAZURERESTFULDEBUGGINGCI/CDDOCKERSQLSDLCKUBERNETESAWSTESTINGUNIT TESTING