Job Description

About the Role

We are looking for a Senior Full-Stack Engineer who is highly technical, product-focused, and comfortable navigating architectural ambiguity.

You will be responsible for building user-facing digital applications, engineering integration interfaces, and developing multi-agent orchestration layers. Working alongside Senior Platform Engineers, you will translate advanced data science pipelines and machine learning guardrails into highly responsive, enterprise-grade digital experiences.

Requirements

Experience

8 - 12 years of full-stack software development experience within enterprise environments, digital product labs, or technology consulting firms.
Experience delivering enterprise-grade digital products and scalable application architectures.
Experience working within regulated industries such as FinTech, InsurTech, HealthTech, or similar environments is advantageous.

Education

Bachelor's Degree in:

Computer Science
Information Technology
Software Engineering
Computer Engineering

Also Acceptable / Related Fields

Electronics & Communication Engineering
Electrical Engineering (with IT/Systems exposure)
Cybersecurity / Information SecurityNetwork Engineering / Telecommunications

Key Responsibilities

1. Backend Engineering & Multi-Agent Orchestration

Develop and maintain AI-powered microservices for specialized business workflows.
Engineer and manage multi-agent orchestration layers to coordinate user intents and agent interactions.
Design secure API and integration layers connecting AI services with enterprise systems such as CRM, Billing, and Claims platforms.
Ensure reliable state management and workflow synchronization across distributed systems.

2. Frontend Engineering & Conversational UX

Develop responsive and accessible web applications optimized for conversational AI experiences.
Implement streaming technologies such as Server-Sent Events (SSE) and WebSockets.
Build human-in-the-loop workflows and operational dashboards to support escalation processes.
Deliver high-performance user experiences with modern frontend frameworks.

3. AI Platform Security, Guardrails & Observability

Implement application-level guardrails, including input/output validation and sensitive data filtering.
Build observability and tracing mechanisms to monitor agent behavior and system performance.
Ensure secure machine-to-machine communication and identity management.
Support compliance and audit requirements through traceability and logging.

4. Delivery & CI/CD Excellence

Develop automated testing frameworks for both code and AI agent behaviors.
Support CI/CD pipelines and deployment automation.
Maintain application consistency and stability across development, testing, staging, and production environments.
Partner with platform, DevOps, and engineering teams to improve software delivery processes.

Technical Skillset Requirements

Programming Languages

Strong proficiency in Python (FastAPI, Flask)
Experience with Java or Node.js
Experience developing enterprise-scale microservices

Frontend Technologies

React.js
Next.js
Angular
State management and performance optimization techniques

AI & Orchestration Frameworks

LangChain
LangGraph
AutoGen
AWS Bedrock Agents
AWS Step Functions

Databases & Vector Technologies

PostgreSQL
DynamoDB
OpenSearch
pgvector
Pinecone
SQL and NoSQL databases

Cloud & Infrastructure

AWS ECS
AWS EKS
AWS Lambda
AWS API Gateway

Tools

Bitbucket
Git
Jira
Confluence
CI/CD Pipelines

Preferred Experience

Experience building AI-powered or agentic systems.
Experience integrating machine learning and AI platforms into enterprise applications.
Strong understanding of security, compliance, and governance requirements.
Experience collaborating with Data Scientists, Platform Engineers, and DevOps teams.
Strong problem-solving and architectural design capabilities.