AI Software Engineer (Agentic AI)

About Us Exavalu is a US based consulting firm specialized in Digital Transformation Advisory and Digital Solution Delivery for select industries like Insurance, Healthcare and Financial Services. Our Headquarters is in California, US with multiple offices across US, Canada, and delivery centres in India. We were founded by Industry executives and Consulting principals with deep industry experience that allows us to bring advisory strength and solution expertise to clients. We’re in a hyper growth trajectory growing at over 100% year on year. Join our diverse and inclusive team where you will feel valued and motivated to contribute with your unique skills and experience. Exavalu offers permanent remote working model as we believe in going where the right talent is. 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. 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 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.