Principal AI Engineer

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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

• Lead a high-impact Agentic AI SWAT Pod across multiple AI use-case tracks • Drive technical architecture and implementation for enterprise Agentic AI solutions • Select solution architectures using Agentic AI workflow automation, RAG, application logic, and hybrid AI patterns • Mentor engineers, conduct code reviews, and establish engineering best practices • Parallelize delivery across multiple workstreams while ensuring technical consistency • Design and develop production-ready AI agents and autonomous workflows • Build intelligent AI systems using LLMs, Agentic AI, RAG architectures, and multi-agent orchestration • Develop reusable AI components and reference implementations • Own critical code paths and contribute to hands-on software development • Take ownership of agent orchestration, MCP tools, context management, prompt orchestration, retrieval pipelines, AI workflow readiness, and AI service integrations • Design scalable, secure, and maintainable AI platforms • Troubleshoot production issues and optimize AI workloads • Implement CI/CD best practices for AI applications • Build observability into AI systems using modern monitoring frameworks • Ensure engineering quality through testing, code reviews, and deployment automation

🎯 Requirements

• 10+ years of software engineering, platform engineering, or AI development experience • Recent hands-on coding experience in production environments • Proven experience delivering Large Language Model (LLM) applications • Proven experience delivering Retrieval-Augmented Generation (RAG) solutions • Proven experience delivering Agentic AI solutions • Proven experience delivering AI Assistants / Intelligent Agents • Strong software engineering fundamentals • Experience building scalable enterprise AI applications • Strong understanding of API development, cloud-native architecture, and distributed systems • Experience implementing CI/CD pipelines and production monitoring • Proficiency in Python, Java, and TypeScript • Knowledge of Agentic AI, LLMs, RAG, AI assistants, AI orchestration, and prompt engineering • Experience with LangGraph, MCP, AI workflow orchestration, Kubernetes, REST APIs, Azure/AWS/GCP, CI/CD pipelines, Git, deployment automation, OpenTelemetry, monitoring and logging, and performance optimization

🏖️ Benefits

• Permanent remote working model • Flexibility depending on the needs of employees, customers and the business • Possibility of part-time work or working outside normal 9-5 business hours • Welcome back program to help people get back to the mainstream after a long break due to health or family reasons • Diverse and inclusive workforce and workplace culture • Career growth opportunities