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

Strong 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

Cooperative, 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.

📌 Senior Software Engineer – AI Applications (Agentic AI & Graph) (Hyderabad)
🏢 Agivant Technologies India Private
📍 Hyderabad