AI Software Engineer, Agentic AI

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🕒 April 8

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Exavalu

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Consulting • Healthcare • Insurance

Exavalu is a business advisory and technology consulting firm that partners with enterprises to deliver high-impact digital transformation. Run by former CIOs, CXOs, and consulting principals, Exavalu offers strategic advisory, core systems transformation, systems integration, data & analytics, innovation and privacy/compliance solutions across regulated sectors. The firm focuses on Insurance, Banking & Financial Services, and Healthcare & Life Sciences, providing industry-tailored technology implementations and program leadership using partners like Guidewire, Salesforce, MuleSoft, PegaSystems and AWS.

📋 Description

• Design, develop, and deploy production-ready Agentic AI applications • Build intelligent AI agents with tool integrations, RAG, context management, memory, stateful conversations, human approvals, and exception handling • Deliver enterprise AI assistants and AI-enabled applications • Build scalable backend services using FastAPI, Spring Boot, and Node.js • Develop responsive frontend applications using React.js • Design reusable application components and shared services • Develop secure RESTful APIs and microservices • Build event-driven services and asynchronous workflows • Integrate AI services with enterprise systems and business applications • Develop data transformation pipelines and service orchestration • Build production-grade RAG pipelines and integrate LLMs into enterprise applications • Implement AI tracing, monitoring, and observability • Translate business processes into user stories, technical designs, APIs, interfaces, acceptance criteria, and test scenarios • Write comprehensive unit, integration, and end-to-end tests • 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

• 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, and 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 • Proficiency in Python, Java, and TypeScript • Experience with FastAPI, Spring Boot, Node.js, and React.js • Knowledge of MCP (Model Context Protocol), SQL, NoSQL databases, Kubernetes, Docker, REST APIs, Git, CI/CD pipelines, automated deployments, AI tracing, application monitoring, logging, and performance monitoring • Good-to-have experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, vector databases, OpenTelemetry, event-driven architecture, microservices, graph databases, prompt optimization, MLOps, Azure, AWS, GCP, API gateways, distributed systems, and AI security and governance

🏖️ Benefits

• Permanent remote working model • Flexible work arrangements, including part-time work, work outside normal 9–5 business hours, and remote work • Welcome back program supporting people returning after extended health or family-related breaks • Diverse and inclusive workforce and culture • Career growth opportunities