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.

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 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