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LTS

Senior Applied AI Engineer

LTS · United States - Remote

Posted about 2 months ago

or apply directly on LTS's site. We never take the application ourselves.

Is this posting real?

This role has been open
53 days
LTS's roles stay open a median of 53 days
Reposted
No
Salary listed
No
10% of LTS's roles list one
Ghost-job risk at LTS
high
21 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
2026-09-25

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

As a Senior Applied AI Engineer, you will focus on enhancing the intelligence of the Agentic AI platform by designing, prototyping, and implementing AI capabilities. Your role will involve optimizing agent performance, evaluating AI systems, and collaborating with other engineers to improve knowledge management and retrieval processes. You will also be responsible for experimenting with new AI techniques and ensuring the platform meets federal compliance requirements.

Our read on this posting2.6out of 5
benefits
3/5
freshness
1/5
career value
4/5
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, 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

Nice to have

  • 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

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 policies or expectations
  • The role involves working on legacy systems, which may have its own challenges
  • The salary range is provided, but final compensation may vary based on experience, skills, location, and role requirements

Summarised from LTS's posting. Read the full original.

Listed by LTS on their greenhouse job board, last confirmed open on 2026-09-25. PitchMeAI is not the employer.

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