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.
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
Stack Expertise:
Backend: Strong hands-on experience with Java (Spring Boot) OR Python (FastAPI, Django, or Flask).
Frontend: Strong hands-on experience with Angular (TypeScript) OR React (JavaScript/TypeScript), alongside modern HTML5, CSS3/Tailwind, and state management (e.g., RxJS, Redux, Context API).
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.
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.
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.
Skills Required
- Strong professional software engineering experience building and shipping production applications
- Strong experience building modern, intuitive customer-facing UI/UX and translating complex capabilities into simple workflows
- Ability to work across the application stack and own projects from concept through deployment and production support
- Experience building scalable, secure, reliable enterprise applications in public cloud environments
- Experience turning prototypes or customer-specific solutions into configurable, reusable products
- Working understanding of agentic AI applications and action-related AI system challenges
- Strong product judgment and empathy for technical and non-technical users
- Comfort with ambiguity, pragmatic decision-making, and limited direction
- Strong collaboration and communication skills with customers, prospects, product, engineering, and go-to-market teams
- Experience with agentic AI applications, graph-based applications or visualizations, investigation or case-management workflows, cloud marketplaces, multi-tenant SaaS, regulated enterprise environments, fraud, AML, KYC, or cybersecurity
What We Do
Agivant Technologies is a new-age, AI-first digital and cloud engineering services company. It helps enterprises use cutting-edge technology, AI, automation, and platform engineering to create new business models, accelerate growth, and deliver measurable impact. The company also emphasizes a dual mission: driving client business success while expanding access to opportunities for technology talent in underserved, mid-tier locations across global markets.
