Custom Software Engineer

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 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: We are looking for a Technical Lead with 6–10 years of software development experience and strong expertise in Python, Generative AI and Agentic AI. The role will provide hands-on technical leadership for designing and delivering production-ready AI solutions, while guiding developers on architecture, implementation, engineering practices and AI technologies. Roles & Responsibilities:

• Lead the technical design and development of GenAI/Agentic AI solutions, including AI agents, agentic workflows, orchestration, LLM integrations, APIs and enterprise integrations.
• Translate business and functional requirements into scalable technical solutions and guide the development team through implementation.
• Provide hands-on technical guidance, conduct design and code reviews, resolve complex technical issues, and ensure quality, security, scalability, performance and maintainability.
• Mentor developers and drive adoption of coding standards, reusable components, testing, observability, Responsible AI and modern GenAI/Agentic AI practices. Professional & Technical Skills
• Strong proficiency in Python with experience developing scalable, maintainable and production-ready applications, including REST APIs, software architecture, design patterns, testing, debugging and performance optimization.
• Strong practical experience with GenAI/LLM application development, prompt engineering, context management, model selection, tokens, embeddings, tool/function calling and LLM integrations.
• Hands-on experience developing AI agents and agentic workflows using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, Amazon Bedrock Agents or equivalent.
• Strong understanding of RAG, embeddings, vector databases, semantic search and knowledge retrieval, with experience integrating AI solutions with APIs, enterprise applications, databases and external tools. Additional Information:
• Exposure to MCP, multi-agent architectures, cloud GenAI services such as Amazon Bedrock/OpenAI/Anthropic/Azure OpenAI, AI evaluation, guardrails, Responsible AI and AI security is preferred.
• Experience with vector databases, Docker/Kubernetes, serverless/cloud deployment, observability and production support is desirable.
• Strong technical leadership and mentoring skills, with experience guiding developers, conducting technical reviews and driving technical standards and continuous improvement.