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LTS

AI Platform and Harness Engineer

LTS · United States - Remote

Posted about 3 months ago

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

As an AI Platform and Harness Engineer, you will develop and maintain infrastructure and tooling for enterprise AI solutions, focusing on Large Language Models (LLMs) and Generative AI applications. Your responsibilities include building AI platforms, creating reusable AI harnesses for testing and evaluation, implementing observability solutions, and collaborating with various teams to ensure scalable and secure AI solutions.

Our read on this posting2.8out of 5
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, Data Science, or a related technical field
  • 5+ years of experience in software engineering, platform engineering, backend engineering, DevOps, cloud engineering, or infrastructure engineering
  • 2+ years building or supporting Generative AI, Large Language Model (LLM), or machine learning applications
  • Strong programming experience in Python
  • Experience developing APIs, backend services, and distributed systems
  • Experience with cloud platforms including AWS, Azure, or Google Cloud Platform

Nice to have

  • Experience with AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or AutoGen
  • Experience implementing LLMOps or MLOps platforms and deployment pipelines
  • Experience with AI observability tools such as LangSmith, OpenTelemetry, Prometheus, Grafana, Evidently AI, or Arize AI
  • Experience with vector databases including Pinecone, Qdrant, Weaviate, Azure AI Search, or pgvector
  • Experience with OpenAI, Azure OpenAI, AWS Bedrock, Anthropic Claude, Google Vertex AI, or similar enterprise AI platforms

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 flexibility beyond being remote
  • Pay range provided, but final compensation may vary based on experience and location
  • Focus on federal missions may imply specific regulatory or compliance requirements

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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