AI​/ML Engineer; LLMs King of Prussia, PA,

Position: Staff AI/ML Engineer (LLMs) King of Prussia, PA, US
## Staff AI/ML Engineer (LLMs)
Aurora, Colorado, United States of America

Job Title:

Staff AI/ML Engineer (LLMs)
Job Category:
Science Time Type:
Full time Minimum Clearance Required to Start: TS/SCI Employee Type:
Regular Percentage of

Travel Required:

Up to 10%
Type of Travel:
Local Anticipated Posting End: 8/31/2026
*
* The Opportunity:

** The Staff AI/ML Engineer (LLMs) will lead the development of Agentic AI capabilities and other LLM based capabilities for a multitude of mission management applications.

** Responsibilities:
** Lead and mentor a multidisciplined team consisting of developers and researchers to implement machine learning algorithms to solve a broad set of challenges for our various customers
* Lead and mentor a multidisciplinary team delivering advanced AI/ML solutions
* Apply LLMs to complex domain-specific problems and operational workflows
* Adapt and fine-tune foundation models for specialized use cases
* Design and implement retrieval-augmented generation (RAG) systems and semantic search architectures
* Build production-grade LLM applications and agentic systems
* Deploy scalable AI solutions across cloud, on-prem, and hybrid environments
* Analyze large, multi-modal datasets to extract meaningful features and actionable insights
* Translate emerging research into applied, mission-relevant capabilities
* Communicate technical strategy, status, and risks to internal and external leadership
*
* Qualifications:

*
*
* Required:

** B.S. in machine learning, computer science, mathematics, or related fields
* 8+ years of experience, preferably in software development or as a data scientist with 2+ years of building LLM applications using some of the following:  + Fine-tuning foundational models  + Steering Techniques (e.g Sparse auto encoders, representation tuning)  + Building adapters to use foundational models (e.g. PEFT, llama factory)  + Prompt engineering techniques / Inference time techniques (e.g. chain of thought, tree of thoughts, etc.)  

+ Using Retrieval Augmented Generation techniques to populate and query vector databases (e.g. Weaviate, pinecone, pgvector)  + Using LLM Frameworks (e.g. Lang Chain, DSPy, Microsoft Agent Framework)  + Using AI APIs ( e.g AWS Bedrock, OpenAI)  + Using LLM deployment frameworks (eg llama.cpp, vllm, tgi)  + Developing UIs with Re Act
* Experience leading an interdisciplinary team of researchers and software developers and working with a program manager to define project scope and schedule to ensure we meet project milestones as defined by our customers
* Experience with Python and data science / machine learning libraries (e.g. Num Py, Pandas, Polars, scikit-learn, etc.)
* Experience contributing on a team using version control (e.g. git, Git Lab, Bitbucket)
* Active TS/SCI U.S. Government Security Clearance
* Desired:
** M.S. or PhD in machine learning, computer science, mathematics, or related fields
* Experience leading an interdisciplinary team of researchers and software developers
* Experience with any of the following:  + Large Language Models and experience identifying ways to incorporate them into new domains and applications  + Applying Transformer-based architectures to domains in other areas outside of Natural Language Processing (NLP) such as computer vision  + Natural Language Processing algorithms such as BERT  + Reinforcement learning and familiarity with Gymnasium Gym, Open Env, Torch

RL, RLlib, and Stable Baselines  + Applying clustering algorithms and/or deep neural networks to real life problems  + Implementing tracking and pattern-of-life algorithms  +

Experience with GenAI Ops techniques (e.g. LLM-as-a-judge) and frameworks (e.g. Lang Fuse, MLFlow, Arize Phoenix)  +

Experience with Machine Learning libraries and frameworks such as Hugging Face and Lang Chain  +

Experience with Linux  +

Experience with CUDA and Python libraries such as CuPy, Numba, CuSignal, CuDF, etc.  + Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.  +

Experience with any of the following additional languages:
Java, C++, Rust, Go, and/or C#  + Experience in application deployment, virtualization, and containerization (e.g. Podman,…