Senior Software Engineer AI Applications (Agentic AI & Graph) (Hyderabad)

Role Overview The focus is an agentic AI application for fraud investigation, with the broader goal of creating a reusable library of applications that can be configured and deployed for customers and prospects. We are looking for self-starters who can take a customer problem from concept to a complete, production-ready application with limited direction. Responsibilities - Design and build complete agentic AI and graph-based applications. - Develop agents, tool-calling workflows, GraphRAG, vector search, MCP tools, APIs, and human-in-the-loop processes. - Build customer-facing interfaces, visualizations, investigation workflows, authentication, and permissions. - Implement agent memory, orchestration, observability, auditing, evaluation, and monitoring. - Design secure, scalable, reliable, and reusable architectures that can be deployed across customers. - Deploy applications in public cloud, private cloud, hybrid, and on-premises environments. - Productize customer-specific solutions by separating reusable capabilities from customer configuration and integrations. - Build automated test coverage, CI/CD, deployment automation, and production-readiness practices. - Work directly with customers and internal teams to translate requirements into working software and rapidly incorporate feedback. Technical Profile Solid experience in several of the following areas: - Agentic AI, LLM orchestration, tool use, and multi-step workflows - Graph databases, graph algorithms, knowledge graphs, RAG, and GraphRAG - Full-stack application development and interactive visualization - APIs, MCP tools, integrations, and event-driven services - Authentication, authorization, RBAC, and enterprise security - Agent memory, state management, observability, evaluation, and auditing - AWS, GCP, or Azure; Kubernetes and containerization - On-premises and hybrid deployment - Automated testing, CI/CD, infrastructure as code, and production operations Requirements Candidate Characteristics - Strong system design, problem-solving, and full-stack engineering skills - Self-starter with ownership, urgency, and the ability to work with limited direction - Comfortable operating in a small team and working through ambiguity - Able to balance rapid delivery with scalability, security, reliability, and maintainability - Product-oriented, with the ability to turn custom requirements into reusable solutions - Committed to automated testing, code quality, and production readiness - Collaborative, customer-focused, and open to feedback - Able to communicate technical decisions, risks, and tradeoffs clearly What Success Looks Like A successful engineer will: - Turn customer use cases into working applications quickly. - Own major capabilities from design through production deployment. - Build secure, scalable, observable, and well-tested enterprise applications. - Convert customer implementations into configurable, reusable products. - Deliver measurable customer value and help move opportunities from demonstration to deployment. - Balance immediate delivery with the long-term development of a productized application library. .