[Hiring] Senior Applied AI Engineer @LTS

Role Description

LTS is seeking a highly skilled Senior Applied AI Engineer to focus on continuously improving the intelligence behind the platform. You'll experiment with models, optimize retrieval strategies, refine agent reasoning, evaluate AI performance, and transform emerging AI capabilities into production-ready solutions.

The Agentic AI platform is designed to help engineers understand, analyze, and modernize one of the most consequential legacy software systems still operating today. Our platform enables engineers to ask questions in plain English and receive explainable, verifiable answers traced directly back to decades of production source code. Rather than replacing engineers, we're building AI that accelerates engineering through transparency, traceability, and intelligent reasoning.

We're building an AI-native engineering platform supporting the modernization of mission-critical healthcare systems serving millions of Veterans nationwide. The platform is designed for deployment across federal enterprise environments and is being engineered to align with FedRAMP security controls, Zero Trust principles, and federal compliance requirements.

The platform has executive sponsorship, committed users, and a customer investing in long-term modernization. Our engineering team is intentionally small giving every engineer meaningful ownership and direct influence over product direction. We don't simply build AI-powered software—we build software with AI. This is not another chatbot.

Using LLMs, autonomous agents, AI-assisted development, parallel workflows, and model-driven engineering is simply how we work.

Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Engineering, Data Science, or a related technical discipline (or equivalent professional experience).
• 5+ years of software engineering, applied AI, machine learning, or AI systems development experience.
• Demonstrated experience developing production AI applications powered by Large Language Models (LLMs).
• Experience designing and optimizing Retrieval-Augmented Generation (RAG) systems.
• Experience with prompt engineering, embeddings, semantic search, vector databases, and knowledge retrieval.
• Experience evaluating AI model performance and implementing experimentation frameworks.
• Strong programming skills in Python and experience with modern software engineering practices.
• Experience with AI frameworks such as LangGraph, LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar.
• Experience with using AI coding assistants as part of your daily workflow.
• Familiarity with REST APIs, cloud-native applications, and distributed software systems.
• Strong analytical, problem-solving, and communication skills.
• Intellect and curiosity for AI systems and how they behave.
• Deep passion for experimenting with new AI techniques.
• Background in evaluation, explainability, and continuous improvement.
• Proven success with ownership of difficult technical challenges and collaboration across disciplines.

Requirements

• Experience optimizing autonomous or multi-agent AI systems.
• Experience implementing automated AI evaluation frameworks.
• Experience with OpenAI, Azure OpenAI, Anthropic Claude, Google Vertex AI, AWS Bedrock, or open-source LLMs.
• Experience with vector databases including Pinecone, Weaviate, Qdrant, Milvus, or Azure AI Search.
• Experience with Responsible AI, AI governance, safety, and explainability.
• Familiarity with software engineering tools, code intelligence platforms, or developer productivity solutions.
• Experience supporting healthcare, Federal Government, or other highly regulated environments.
• Experience using AI coding assistants and autonomous agents as part of daily software development.

Benefits

• The Opportunity to support high-visibility federal missions.
• A culture that values innovation, growth, and collaboration.
• Access to cutting-edge tools and technologies.
• Comprehensive benefits for you and your family.
• A career path that rewards ambition and performance.