Senior Full-Stack Engineer — Agentic AI Applications

Agivant; Hyderabad; On-site; INR 2,000,000 - 3,500,000; Full time

Job summary

Agivant Technologies India Private Limited is seeking a Senior Full-Stack Product Engineer to join a lean, high-velocity team building agentic AI applications. You will own the full stack, from core AI capabilities to secure, scalable enterprise products, with emphasis on Java or Python on the backend and Angular or React on the frontend.

Collaborate with AI engineers focused on LLMs, graph orchestration, and multi-tenant deployments, delivering production-ready software across cloud hosting on

Qualifications

• 2+ years of software engineering experience across frontend and backend.
• Strong understanding of RESTful APIs and modern web architectures.
• Experience with cloud platforms and containerization.
• Familiarity with AI/agentic workflows is a plus.

Responsibilities

• Architect, build, and maintain production-grade full-stack applications using Java or Python and modern Angular or React interfaces.
• Design backend systems with asynchronous processes, event-driven pipelines, and enterprise integrations.
• Create intuitive frontend interfaces to visualize complex agent reasoning and workflows.
• Develop modular, configurable architectures separating reusable code from tenant-specific settings.
• Implement enterprise security models and auditability for multi-tenant deployments.

Job description

Agivant Technologies India Private Limited | Full time

Senior Full-Stack Engineer — Agentic AI Applications

Agivant is a new-age AI-First Digital and Cloud Engineering services company that drives Agility and Relevance for our client’s success.

Powered by cutting-edge technology solutions that enable new business models and revenue streams, we help our clients achieve their trajectory of growth.

Agility is a core muscle, an integral part of the fabric of a modern enterprise. To succeed in an ever-changing business environment, every modern organization needs to adapt and renew itself quickly. We help foster a more agile approach to business to reconfigure strategy, structure, and processes to achieve more growth and drive greater efficiencies.

Relevance is timeless and is the only way to survive and thrive.

The quest for relevance defines the exponential acceleration of humanity. This has presented us with a slew of opportunities, but also many unprecedented challenges. With technology-led innovation, we help our customers harness these opportunities and address myriad challenges.

Job Description

Role Overview

We are building a lean, high-velocity engineering team to develop productized agentic AI applications on top of Savanna. Our flagship application focuses on agentic fraud investigation, with a broader mission to build a reusable suite of enterprise AI products that can be rapidly configured and deployed across customers.

We are seeking a Senior Full-Stack Product Engineer with strong skills in Java or Python on the backend and Angular or React on the frontend. Working alongside an AI Engineer focused on LLMs, GraphRAG, and agent orchestration, you will own the full application stack—turning core AI capabilities into secure, scalable, and intuitive enterprise products from concept to production.

Responsibilities

1. Full-Stack Application Engineering

Architect, build, and maintain production-grade full-stack applications using Java or Python microservices/REST APIs and modern Angular or React web interfaces.

Design robust backend systems that handle asynchronous, long-running agent workflows, state management, event-driven data pipelines, and third-party enterprise integrations.

Build intuitive, dynamic frontend interfaces to visualize complex agent reasoning, graph networks, and interactive human-in-the-loop workflows (approval mechanisms, override controls, and audit trails).

Develop modular, configurable architectures separating reusable application code from tenant-specific configurations.

2. Enterprise Security, Governance & Agent Controls

Implement enterprise-grade security models, including Role-Based Access Control (RBAC), multi-tenancy, and secure API gateways.

Design backend safeguards and transactional boundaries to prevent unauthorized or runaway agent executions.

Build complete auditability logging to trace user requests, AI tool executions, state changes, and system errors.

3. Deployment, Scalability & Cloud Packaging

Own end-to-end delivery using modern CI/CD pipelines, containerization (Docker, Kubernetes), and cloud hosting across AWS and Google Cloud.

Prepare, package, and optimize applications for commercial distribution via AWS Marketplace and Google Cloud Marketplace.

Ensure high availability, observability, performance tuning, and monitoring across all layers of the stack.

Requirements

Requirements

Stack Expertise:

Backend: Strong hands-on experience with Java (Spring Boot) OR Python (FastAPI, Django, or Flask).

Full-Stack Mastery:2+ years of software engineering experience designing, building, and operating production web applications across both client and server layers.

Database & API Design: Proficient in designing relational (PostgreSQL, MySQL) or NoSQL databases, as well as RESTful APIs, WebSockets, or gRPC interfaces.

Cloud & DevOps: Direct experience deploying and managing cloud-native applications on AWS or GCP, utilizing Docker, CI/CD tools, and basic Infrastructure as Code (IaC).

AI Awareness: Practical understanding of integrating LLM outputs, asynchronous event processing, or agentic workflows into traditional application architectures.

Product Mindset: Ability to translate abstract AI/data capabilities into clear user workflows with minimal supervision.

Preferred Qualifications

Experience with graph visualization libraries (e.g., Cytoscape, D3.js, Vis.js).

Background in Fraud, AML, KYC, Cybersecurity, or enterprise case-management platforms.

Hands-on experience packaging software for AWS Marketplace or GCP Marketplace.

What Success Looks Like

Rapidly bridge backend services and frontend UI to convert core AI capabilities into polished, market-ready products.

Deliver resilient, secure, and auditable enterprise software capable of running seamlessly in multi-tenant or marketplace environments.

Drive end-to-end ownership—writing clean backend code, crafting responsive interfaces, and managing cloud deployments.