12+ Years Key responsibilities Clarify business and technical requirements with stakeholders. Build prototypes, proof-of-concepts, AI features, integrations, and workflow applications. Develop and enhance GenAI applications, enterprise assistants, AI agents, RAG solutions, and conversational workflows. Implement backend services, APIs, microservices, data integrations, and automation using Python and related technologies. Contribute to frontend and workflow application development using React or comparable modern frameworks. Support document ingestion, parsing, extraction, retrieval, evaluation, and knowledge-base enhancement. Integrate enterprise systems, APIs, vector databases, embedding pipelines, and approved AI services. Prepare demonstrations, collect feedback, and convert validated requirements into production-ready features. Collaborate with offshore engineers and QA resources on implementation, testing, defect resolution, and release preparation. Follow Client s development, security, source-control, documentation, and deployment standards. Support production stabilization, troubleshooting, and knowledge transfer as required. Required qualifications 10+ years of experience in software engineering, AI application development, or full-stack engineering. Strong hands-on experience with Python, APIs, backend services, and enterprise application development. Experience with GenAI, LLM APIs, RAG, prompt/workflow engineering, AI agents, or conversational applications. Familiarity with React, JavaScript/TypeScript, microservices, cloud platforms, databases, and enterprise integrations. Experience with data ingestion, document processing, vector databases, embeddings, or knowledge bases is desirable. Understanding of automated testing, AI evaluation, security, logging, and production support. Strong communication skills and the ability to work directly with business and technical stakeholders.
