or apply directly on LTS's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days LTS's roles stay open a median of 81 days
- Reposted
- No
- Salary listed
- No 10% of LTS's roles list one
- Ghost-job risk at LTS
- high 29 stale, 0 reposted of 29 open
- Hiring momentum
- 36 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from LTS's own greenhouse board since 2026-08-03. Full hiring picture for LTS.
About this role
The Senior Agentic AI Software Engineer will design, develop, and deploy intelligent AI systems that enhance engineering processes by transforming legacy software into actionable knowledge. This role involves building orchestration pipelines, integrating AI with enterprise systems, and ensuring the reliability and explainability of AI-generated responses. The engineer will collaborate with a small team, mentor peers, and contribute to the modernization of mission-critical healthcare systems.
- benefits
- 3/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of LTS as an employer.
What you need
- 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
Nice to have
- 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
What you get
- 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
Worth weighing
- No specific mention of remote work flexibility beyond being remote
- The role involves working with legacy systems, which may present unique challenges
- The job requires a high level of ownership and responsibility in a small team setting
- The salary range is provided, but final compensation may vary based on various factors
Summarised from LTS's posting. Read the full original.
Listed by LTS on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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