Full Stack Engineer ( React.js + Agentic AI+Node.js)

Full Stack Engineer/Senior Engineer

Agentic AI Orchestration Platform • Mortgage Technology

DEPARTMENT

Product Engineering

LOCATION

India (Remote / Hybrid)

EXPERIENCE

3-6 Years

EMPLOYMENT TYPE

Full-Time

About the Role

We are looking for a Senior Full Stack Engineer to join our strategic transformation program building an Agentic

AI Orchestration Platform for mortgage origination and fulfillment.

This is a high-ownership role. You will be the point of contact for end-to-end delivery from understanding

business requirements to designing, building, and deploying production-ready full stack solutions. You will work

closely with architects, product managers, and business stakeholders to translate complex mortgage workflows into

intelligent, agent-driven systems.

What makes this role unique: You'll build AI agents that automate loan processing, document review, and

QC/audit workflows along with the modern React frontends that users interact with. This is hands-on

technical leadership where you own outcomes, not just tasks.

Key Responsibilities

End-to-End Ownership: Own features from requirements through production — understand the business

problem, design the solution, implement backend services and frontend UI, and ensure it works in production

Full Stack Development: Build complete solutions — backend microservices, REST/GraphQL APIs, AI agent

implementations, and modern React/Next.js user interfaces

Business Requirements Translation: Work directly with product and business stakeholders to understand

mortgage domain workflows and translate them into technical solutions

AI Agent Development: Design and implement autonomous AI agents using AWS AgentCore/Bedrock for

document processing, workflow orchestration, and loan audit automation

Integration Development: Build integrations with LOS systems (Encompass, LendingPad, Cadence), document

processing vendors (Ocrolus), and third-party service providers

AI-Assisted Development: Leverage AI tools (Kiro, Bedrock, etc.) to accelerate development and maintain high

velocity without sacrificing quality

Required Experience & Qualifications

8-12 years of hands-on software engineering

experience

Proven track record of full stack delivery — building

both backend services and frontend applications

AI/ML hands-on experience: LLM integration,

prompt engineering, or agent-based systems

Experience with AWS cloud-native development

Business acumen: Ability to understand

requirements, ask the right questions, and translate

domain knowledge into solutions

Strong API design and integration experience (REST,

GraphQL, webhooks)

Excellent communication skills — ability to work

with technical and non-technical stakeholders

Preferred Qualifications

Experience in mortgage, fintech, or financial services domain

Experience with AI agent frameworks — AWS AgentCore, LangChain Agents, AutoGen, or similar

Familiarity with workflow engines (Step Functions, Temporal) and state machine patterns

Prior experience as a tech lead or senior IC with end-to-end ownership of product features

Experience with AI-assisted development tools like Kiro, GitHub Copilot