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.

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