---
title: 'AI Platform and Harness Engineer at LTS'
canonical: 'https://feeny.ai/job/ai-platform-and-harness-engineer-lts-united-states-eadvfygq7w93'
type: 'job'
last_seen: '2026-09-07'
---

# AI Platform and Harness Engineer at LTS

- **Company:** LTS
- **Location:** United States
- **Work type:** remote
- **Posted:** 2026-07-29
- **Last confirmed live:** 2026-09-07
- **Apply:** https://job-boards.greenhouse.io/lts/jobs/4337509009

## Job description

LTS is seeking an AI Platform and Harness Engineer to develop and maintain the infrastructure, tooling, and evaluation frameworks that power enterprise AI solutions. This role is responsible for building the AI platform and reusable "AI harnesses" that enable Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and Generative AI applications to be securely developed, tested, evaluated, monitored, and deployed at scale.

The ideal candidate has experience with AI platforms, LLMOps, software engineering, cloud-native technologies, and backend systems, along with a passion for building reliable, observable, and production-ready AI solutions. You will work closely with AI architects, software engineers, data scientists, and product teams to ensure AI solutions are scalable, secure, cost-effective, and continuously improving.

What You'll Do:

- Design, build, and maintain enterprise AI platform capabilities supporting Large Language Models (LLMs), AI agents, RAG, and Generative AI applications.
- Develop reusable AI harnesses to automate testing, prompt evaluation, model benchmarking, regression testing, and quality assurance.
- Build AI evaluation frameworks to measure model accuracy, retrieval quality, hallucination detection, latency, throughput, cost, and overall application performance.
- Implement observability and monitoring solutions for AI applications, including telemetry, tracing, logging, dashboards, and operational metrics.
- Build and maintain LLMOps pipelines supporting model deployment, versioning, evaluation, experimentation, rollback, and continuous improvement.
- Design automated workflows for prompt testing, retrieval evaluation, AI system validation, and performance benchmarking.
- Develop internal tools for prompt management, model experimentation, AI performance optimization, and developer productivity.
- Build scalable backend services and APIs supporting AI platforms and enterprise AI integrations.
- Collaborate with AI architects and engineering teams to integrate LLMs, RAG pipelines, vector databases, and agentic AI solutions into enterprise applications.
- Support deployment of AI services across AWS, Azure, or Google Cloud using containerized and cloud-native architectures.
- Implement CI/CD pipelines and infrastructure automation supporting enterprise AI development and deployment.
- Apply security, governance, and Responsible AI controls throughout the AI development lifecycle.
- Evaluate emerging AI frameworks, LLMOps technologies, evaluation methodologies, and automation tools to improve engineering productivity.
- Troubleshoot production AI issues and continuously improve platform reliability, scalability, security, and user experience.
- Document engineering standards, AI platform architecture, evaluation methodologies, and operational best practices.

What We're Looking For:

- 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.
- Experience deploying applications using Docker and Kubernetes.
- Experience working with Git, CI/CD pipelines, Infrastructure as Code (IaC), and infrastructure automation.
- Strong understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Prompt engineering, Embeddings, Vector databases, AI agents and agentic workflows
- Familiarity with AI evaluation techniques, automated testing, benchmarking, regression testing, and model validation.
- Experience building scalable, production-grade software platforms.
- Strong problem-solving, debugging, and performance optimization skills.

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.
- Experience implementing Responsible AI, AI governance, model security, and AI safety best practices.
- Experience supporting Federal Government or other regulated environments.
- Experience evaluating AI systems for quality, reliability, accuracy, explainability, latency, and cost optimization.
- Familiarity with healthcare, enterprise modernization, or mission-critical systems.

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.

## About LTS

## Company Overview
- **One-liner**: LTS is a global Contract Development and Manufacturing Organization (CDMO) specializing in designing and manufacturing innovative non-invasive drug delivery systems for pharmaceutical partners.
- **Entity Type**: Private (bootstrapped, no disclosed funding rounds)
- **Headquarters**: Andernach, Germany
- **Founded**: 1984
- **Founders**: Not publicly available

## Core Business
- Primary industry: Pharmaceutical contract development and manufacturing (CDMO) for drug delivery systems.
- Target customers: B2B – pharmaceutical and biotechnology companies seeking outsourced development and production of drug delivery technologies.
- Mission or purpose: “We enable our partners to succeed by doing what we do best” – with a stated purpose to CARE, CREATE, and DELIVER to improve patient outcomes.

## Products & Services
- **Transdermal Therapeutic Systems (TTS)**: Skin-applied patches for systemic drug delivery (e.g., nitroglycerin, buprenorphine, Parkinson’s, Alzheimer’s, contraceptive).
- **Oral Thin Films (OTF)**: Rapidly dissolving films for buccal or sublingual administration (e.g., ondansetron for chemotherapy-induced nausea, buprenorphine/naloxone for opioid use disorder).
- **Micro Array Patches (MAP)**: Dissolvable microneedle patches for transdermal delivery with faster onset and enhanced compliance.
- **Topical Patch Systems**: Flexible, ready-to-use platforms for delivering topical medicines.
- **Nasal Drug Delivery**: Specialized nasal spray and sterile dosage forms (capabilities added via 2025 acquisition of Renaissance Lakewood).
- **Sorrel™ Device Technology**: On-body delivery systems for large-volume, highly viscous formulations (acquired from Eitan Medical in 2023).
- **CDMO Services**: End-to-end services from R&D and process development through commercial manufacturing and lifecycle management.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company).
- **Key Metric**: Over 2,000 employees; production capacity exceeding 2.6 billion units per year; more than 200 patent families owned.
- **Notable Investors/Partners**: No external investors disclosed. Key pharmaceutical partners include Dr. Reddy’s (launch of generic Suboxone film), and numerous partners for first-to-market patches (nicotine, contraceptive, Parkinson’s, Alzheimer’s).
- **Growth Signals**: Acquisition of Renaissance Lakewood (2025) adding nasal spray and aseptic manufacturing; acquisition of Tapemark in St. Paul, USA (2022); establishment of LTS Device Technologies in Netanya, Israel for wearable infusion pumps; headcount growth from ~1,000 to over 2,000 in recent years.

## Competitive Advantages
- Market leader in transdermal drug delivery: pioneered the first nicotine patch, contraceptive patch, Parkinson’s patch, and Alzheimer’s patch.
- Broad technology platform covering TTS, OTF, MAP, topical, nasal, and on-body devices – rare breadth under one roof.
- Global manufacturing footprint: facilities in Germany (Andernach), USA (West Caldwell, NJ; St. Paul, MN; Lakewood, NJ), Israel (Netanya), and business development in Shanghai.
- Strong IP portfolio with 200+ patent families.
- Long-standing track record of regulatory approvals and commercial launches since 1984.

## Strategic Focus
- Expanding into next-generation delivery technologies: microneedles, on-body injectors, and nasal delivery.
- Increasing US manufacturing capacity and sterile capabilities through recent acquisitions.
- Deepening partnerships with pharma companies to bring new combination products to market.
- Leveraging single-source CDMO model to reduce partner risk and accelerate time-to-market.

## Why Work Here
- **Culture**: Emphasizes CARE, CREATE, DELIVER with key behaviors of Teamwork, Customer Orientation, Entrepreneurship, Accountability, and Leadership.
- **Impact**: Employees work on products that directly improve patient lives – many first-of-their-kind therapies.
- **Growth**: Rapid expansion via acquisitions and organic growth offers career development opportunities.
- **Locations**: Multiple sites in Germany, USA, and Israel; roles span R&D, engineering, manufacturing, quality, and business.
- **Work environment**: Collaborative, cross-functional teams with access to experts across disciplines. Described as “supportive team where every day is different.”
- **Remote/Hybrid**: Not explicitly stated; likely site-dependent given manufacturing nature.
- **Notable perks**: “Apply Your Unique Skills with a Team that’s Writing Medical History” – strong innovation focus and global reach.

## Sources
1. [ltslohmann.com](https://www.ltslohmann.com/en/our-company/) – Company overview, history, milestones, and key metrics.
2. [ltslohmann.com](https://www.ltslohmann.com/en/) – Homepage with technology descriptions and purpose.
3. [ltslohmann.com](https://ltslohmann.com/en/our-company/locations/) – Global locations and capabilities.
4. [ltslohmann.com](https://www.ltslohmann.com/en/careers/) – Careers page with culture and purpose.
5. [ltslohmann.com](https://ltslohmann.com/en/careers/deliver/) – Additional careers content.
6. [Greenhouse.io](https://job-boards.greenhouse.io/lts) – Official careers portal.

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