Job Description

This is a remote position.Overview :

We are looking for an experienced AI Software Engineer to build and deliver production-grade Agentic AI solutions across enterprise applications. The ideal candidate will have strong software engineering fundamentals with hands-on experience developing AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, APIs, cloud-native services, and modern application frameworks.

This role requires a highly adaptable engineer capable of working across multiple programming languages and technology stacks while translating business processes into scalable AI-enabled solutions.

Key Responsibilities AI Solution Development

Design, develop, and deploy production-ready Agentic AI applications.
Build intelligent AI agents with:
- Tool integrations
- Retrieval-Augmented Generation (RAG)
- Context management
- Memory
- Stateful conversations
- Human approvals
- Exception handling
Deliver enterprise AI assistants and AI-enabled applications.

Application Development

Build scalable backend services using:
- FastAPI
- Spring Boot
- Node.js
Develop responsive frontend applications using:
- React.js
Design reusable application components and shared services.

API & Service Engineering

Develop secure RESTful APIs and microservices.
Build event-driven services and asynchronous workflows.
Design integrations between AI services, enterprise systems, and business applications.
Develop data transformation pipelines and service orchestration.

AI Platform Engineering

Build production-grade RAG pipelines.
Integrate Large Language Models (LLMs) into enterprise applications.
Implement AI tracing, monitoring, and observability.
Develop scalable AI services with robust context handling and orchestration.

Software Engineering

Translate business processes into:
- User stories
- Technical designs
- APIs
- Interfaces
- Acceptance criteria
- Test scenarios
Build maintainable, scalable, and secure enterprise software.
Write comprehensive unit, integration, and end-to-end tests.

DevOps & Deployment

Deploy AI applications using enterprise CI/CD pipelines.
Containerize applications using Docker and Kubernetes.
Support production deployments and post-production monitoring.
Ensure application reliability, scalability, and performance.

Requirements Required Skills & Experience

7+ years of experience in Software Engineering, Platform Engineering, AI/ML Engineering, or Application Development.
Proven experience delivering production AI applications.
Hands-on experience with:
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- AI Assistants
- Agentic AI
Strong backend engineering experience.
Experience building enterprise APIs and distributed systems.
Strong knowledge of containerization and CI/CD practices.
Production ownership of AI-enabled applications.

Primary Skills Programming Languages

Python
Java
TypeScript

Backend Development

FastAPI
Spring Boot
Node.js

Frontend

React.js

AI & Machine Learning

Agentic AI
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
AI Assistants
Context Management
Prompt Engineering

AI Frameworks

MCP (Model Context Protocol)

Databases

SQL
NoSQL Databases

Cloud & Containers

Kubernetes
Docker
REST APIs

DevOps

CI/CD Pipelines
Git
Automated Deployments

Observability

AI Tracing
Application Monitoring
Logging
Performance Monitoring

Secondary Skills (Good to Have)

LangChain
LangGraph
CrewAI
AutoGen
Semantic Kernel
Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
OpenTelemetry
Event-Driven Architecture
Microservices
Graph Databases
Prompt Optimization
MLOps
Cloud Platforms (Azure, AWS, GCP)
API Gateway
Distributed Systems
AI Security & Governance

Benefits Diversity Inclusion:

At , we are committed to building a diverse and inclusive workforce. We welcome applications for employment from all qualified candidates, regardless of race, color, gender, national or ethnic origin, age, disability, religion, sexual orientation, gender identity or any other status protected by applicable law. We nurture a culture that embraces all individuals and promotes diverse perspectives, where you can make an impact and grow your career.

also promotes flexibility depending on the needs of employees, customers and the business. It might be part-time work, working outside normal 9-5 business hours or working remotely. We also have a welcome back program to help people get back to the mainstream after a long break due to health or family reasons.

AI Software Engineer (Agentic AI)

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