Senior Full-Stack Engineer (Agentic AI Systems)
Posted
Summary
Senior full-stack engineer building enterprise web apps, integration APIs, and multi-agent AI orchestration layers alongside platform engineers. Daily work spans Python microservices (FastAPI/Flask), React/Next.js/Angular conversational UX, AWS services, LangChain/LangGraph agent frameworks, plus AI guardrails, observability, and CI/CD.
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. Core Skills & Expertise
Full-Stack Software Development Agentic AI Systems Multi-Agent Orchestration Python Development Java / Node.js Development React.js / Next.js / Angular API Design & Integration AWS Cloud Services CI/CD & DevOps AI Security & Guardrails Conversational User Experience System Observability & Monitoring Enterprise Application Architecture Stakeholder Collaboration Agile Development Methodologies
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. Core Skills & Expertise
Full-Stack Software Development Agentic AI Systems Multi-Agent Orchestration Python Development Java / Node.js Development React.js / Next.js / Angular API Design & Integration AWS Cloud Services CI/CD & DevOps AI Security & Guardrails Conversational User Experience System Observability & Monitoring Enterprise Application Architecture Stakeholder Collaboration Agile Development Methodologies
Skills
- Agentic AI
- Agile
- AI
- Angular
- API
- Api Design
- AutoGen
- Automation
- AWS
- AWS Bedrock
- Bitbucket
- CI/CD
- Cloud
- Confluence
- Conversational AI
- CRM
- Cybersecurity
- Data Science
- DevOps
- Distributed Systems
- DynamoDB
- ECS
- EKS
- FastAPI
- Fintech
- Flask
- Git
- Java
- Jira
- Lambda
- LangChain
- LangGraph
- Machine Learning
- Microservices
- Next.js
- Node.js
- NoSQL
- Observability
- OpenSearch
- pgvector
- Pinecone
- PostgreSQL
- Python
- React
- SQL
- Test Automation
- Websockets