AI Software Engineer (Agentic AI)

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.

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 Exavalu , 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. Exavalu 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.

Originally posted on Himalayas