Senior Agentic AI Software Engineer

• Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Engineering, or a related technical discipline (or equivalent professional experience).
• 7+ years of professional software engineering experience designing and building distributed production systems.
• At least 3 years designing, developing, and deploying production AI applications beyond proof-of-concept environments.
• Strong proficiency in Python and modern backend software engineering.
• Experience building enterprise APIs, microservices, and cloud-native applications.
• Hands-on experience developing applications powered by Large Language Models (LLMs) and Generative AI.
• Experience building Agentic AI solutions using frameworks such as LangGraph, LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or comparable technologies.
• Strong experience designing Retrieval-Augmented Generation (RAG) architectures including embeddings, vector search, hybrid retrieval, reranking, context engineering, and grounding techniques.
• Experience integrating AI systems with enterprise APIs, databases, cloud platforms, and business applications.
• Experience with Docker, Kubernetes, Git, CI/CD pipelines, and modern DevOps practices.
• Strong understanding of software architecture, testing, observability, debugging, and production operations.
• Excellent communication skills with the ability to explain complex technical concepts to both engineering and business stakeholders.
• Ability to solve difficult engineering problems from first principles.
• Ability to think deeply about system architecture, reliability, and scalability.
• Passionate about explainability as model performance.
• Ability to move comfortably between distributed systems, AI frameworks, and product engineering.
• Willingness to take ownership of ambiguous, high-impact technical challenges.
• Background with using AI coding assistants, autonomous agents, and model-driven engineering workflows.
• A technically skilled engineer with a preference for building products that create lasting impact over incremental feature development.
• Experience developing multi-agent AI systems and collaborative agent workflows.
• Experience with OpenAI, Azure OpenAI, Anthropic Claude, Google Vertex AI, AWS Bedrock, or open-source LLMs.
• Experience with vector databases such as Pinecone, Weaviate, Qdrant, Milvus, or Azure AI Search.
• Experience implementing LLMOps or MLOps practices.
• Familiarity with graph databases, knowledge graphs, or dependency analysis.
• Experience working with software engineering tools, code intelligence platforms, or developer productivity products.
• Experience building AI systems in healthcare, Federal Government, or other highly regulated environments.
• Familiarity with Responsible AI, AI governance, privacy, security, and compliance best practices.
• Experience using AI coding assistants and autonomous agents as part of daily software development.

What’s In It for You?

• 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

If you’re ready to push boundaries, sharpen your skills, and join a team that is passionate about building what’s next, we’d love to meet you. Apply today and let’s build a future together!

LTS shares salary ranges to promote transparency. Compensation ranges are provided for informational purposes, and final compensation may vary based on experience, skills, location, and role requirements.

LTS is committed to offering eligible employees comprehensive benefits that will provide them with options intended to meet their needs and the needs of their family.

Originally posted on Himalayas