Python (Programming Language)

Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design code and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable high-performing solutions tailored to specific business needs.
Must have skills : Python (Programming Language)
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
We are looking for a senior technology leader with 1016 years of experience and strong expertise in Python GenAI and Agentic AI to own the technical direction of complex AI solutions. The role will lead end-to-end architecture technology decisions delivery technical governance and mentoring while driving scalable secure and reusable enterprise GenAI/Agentic AI capabilities.
Roles & Responsibilities:
1. Own end-to-end technical architecture and solution design for medium to complex GenAI and Agentic AI solutions including agents workflows LLMs tools RAG APIs integrations and deployment.
2. Analyze business use cases and determine the appropriate GenAI Agentic AI automation traditional software or hybrid approach.
3. Lead architecture and technology decisions technical reviews PoCs and productionization while ensuring scalability performance security reliability maintainability cost and Responsible AI.
4. Act as the technical authority for the workstream guide Technical Leads and Senior Engineers drive reusable architectures and accelerators and collaborate with architects product and business stakeholders.
Professional & Technical Skills
1. Strong Python expertise with hands-on experience developing scalable maintainable and production-ready applications and integrations.
2. Strong hands-on experience with GenAI/LLM and Agentic AI solutions including prompt engineering model selection agent orchestration tool/function calling RAG embeddings vector databases and semantic search.
3. Strong experience designing single-agent multi-agent workflow-based and hybrid architectures using platforms such as LangChain LangGraph AutoGen CrewAI Semantic Kernel Amazon Bedrock Agents or equivalent.
4. Strong understanding of cloud-native architecture APIs enterprise integration security scalability observability AI evaluation guardrails Responsible AI and enterprise AI governance.
Additional Information:
1. Experience with MCP advanced tool integration agent-to-agent communication cloud GenAI platforms AI evaluation and AI security is preferred.
2. Experience creating reusable GenAI/Agentic AI frameworks reference architectures accelerators and enterprise patterns is desirable.
3. Strong experience mentoring Technical Leads and engineering teams conducting architecture/design reviews managing technical risks and communicating complex technical concepts to technical and non-technical stakeholders.