---
title: 'Senior Applied AI Engineer at LTS'
canonical: 'https://feeny.ai/job/senior-applied-ai-engineer-lts-united-states-wc5x8sda2fnq'
type: 'job'
last_seen: '2026-09-14'
---

# Senior Applied AI Engineer at LTS

- **Company:** LTS
- **Location:** United States
- **Work type:** remote
- **Posted:** 2026-07-30
- **Last confirmed live:** 2026-09-14
- **Apply:** https://job-boards.greenhouse.io/lts/jobs/4340498009

## Job description

Location: United States – Remote Clearance: Ability to obtain and maintain a Public Trust

LTS is seeking a highly skilled Senior Applied AI Engineer to focus on continuously improving the intelligence behind the platform. You'll experiment with models, optimize retrieval strategies, refine agent reasoning, evaluate AI performance, and transform emerging AI capabilities into production-ready solutions.

The Agentic AI platform is designed to help engineers understand, analyze, and modernize one of the most consequential legacy software systems still operating today.

Our platform enables engineers to ask questions in plain English and receive explainable, verifiable answers traced directly back to decades of production source code. Rather than replacing engineers, we're building AI that accelerates engineering through transparency, traceability, and intelligent reasoning.

We're building an AI-native engineering platform supporting the modernization of mission-critical healthcare systems serving millions of Veterans nationwide.

The platform is designed for deployment across federal enterprise environments and is being engineered to align with FedRAMP security controls, Zero Trust principles, and federal compliance requirements.

The platform has executive sponsorship, committed users, and a customer investing in long-term modernization. Our engineering team is intentionally small giving every engineer meaningful ownership, and direct influence over product direction.

We don't simply build AI-powered software—we build software with AI. This is not another chatbot.

Using LLMs, autonomous agents, AI-assisted development, parallel workflows, and model-driven engineering is simply how we work.

What You’ll Do:

Advance Applied AI Capabilities

- Design, prototype, and implement production-ready AI capabilities that improve reasoning, accuracy, explainability, and developer productivity.
- Evaluate emerging LLMs, multimodal models, agent frameworks, and AI techniques to identify opportunities for platform advancement.
- Rapidly prototype new AI capabilities and transition successful experiments into production.

Optimize Agent Performance

- Improve autonomous and multi-agent workflows through prompt engineering, reasoning optimization, memory strategies, tool selection, and context management.
- Continuously refine Retrieval-Augmented Generation (RAG) pipelines, retrieval strategies, embeddings, reranking, and grounding techniques.
- Improve AI response quality through experimentation, benchmarking, and iterative optimization.

Evaluate AI Systems

- Develop evaluation frameworks that measure accuracy, groundedness, explainability, latency, and overall AI effectiveness.
- Build benchmark datasets, automated evaluation pipelines, and performance metrics for production AI systems.
- Analyze AI failures, hallucinations, retrieval gaps, and reasoning errors to drive continuous improvement.

Knowledge Engineer

- Collaborate with software engineers to improve knowledge ingestion, document processing, semantic search, embeddings, and enterprise knowledge management.
- Design approaches that maximize retrieval quality across large technical documentation and source code repositories.
- Improve how AI agents discover, organize, and reason over enterprise knowledge.

Collaborate Across Engineer

- Partner closely with AI architects, platform engineers, software engineers, and front-end engineers to improve the overall intelligence of the platform.
- Share research findings, experimental results, and engineering recommendations with cross-functional teams.
- Help establish best practices for experimentation, evaluation, and AI quality throughout the organization.

What We’re Looking For:

- 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.
- Strong programming skills in Python and experience with modern software engineering practices.
- Experience with AI frameworks such as LangGraph, LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar.
- Experience with using AI coding assistants as part of your daily workflow.
- Familiarity with REST APIs, cloud-native applications, and distributed software systems.
- Strong analytical, problem-solving, and communication skills.
- Intellect and curiosity for AI systems and how they behave.
- Deep passion for experimenting with new AI techniques.
- Background in evaluation, explainability, and continuous improvement.
- Proven success with ownership of difficult technical challenges and collaboration across disciplines.

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.
- Familiarity with software engineering tools, code intelligence platforms, or developer productivity solutions.
- Experience supporting healthcare, Federal Government, or other highly regulated environments.
- 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.

## 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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