Artificial Intelligence/Large Language Model Engineer

Artificial Intelligence/Large Language Model Engineer

Discover a career that is challenging, impactful, and mission critical. Join our team as an AI/ML developer and make an impact on the capabilities of the National Heart, Lung, and Blood Institute in conducting its biomedical research programs. While you help us advance the mission, we’ll help you build your skills and advance your career.

At GDIT, people are our differentiator. As an AI/LLM Engineer supporting NHLBI, you will leverage strong Python programming skills and provide LLM fine tuning and Prompt Engineering to enable science at NHLBI. You will translate business needs into technical requirements and architecture.

How an AI/LLM Developer Will Make an Impact

• Provide consultative and implementation services to NHLBI to advance the institute’s use of AI to improve operating efficiency and effectiveness. 
• Work directly with scientific and business users to evaluate areas where AI can be leveraged to streamline functions related to scientific review of information.
• Support and expand existing AI solutions ( both ML and LLM-based) that are using industry LLM’s and services.
• Help NHLBI assess the effectiveness of existing and potential AI solutions, and provide insights and implementation to improve those solutions.
• Work with NHLBI staff to improve their use of AI solutions through training and consultation.
• Help NHLBI incorporate AI more broadly into their portfolio of IT solutions and provide insights into NHLBI’s AI direction and roadmap.
• Work with NHLBI’s Enterprise Architecture team to ensure projects follow required standards and objectives.
• Create design, implementation, and operations documentation related to proposed and implemented solutions.

WHAT YOU’LL NEED TO SUCCEED:

Education:

• Bachelor of Science degree in Computer Science, Information Technology, or related field, or equivalent experience

Experience:

• 10+  years of software development experience w/ at least 2-3 years working with machine learning applications.
• Strong Python programming skills and familiarity with NLP libraries like HuggingFace, Transformers, spaCy, NLTK or LangChain
• LLM-Fine-tuning and Prompt Engineering: Experience focused on fine-tuning opensource LLM’s (LLaMa, Mistral, GPT) and crafting optimized prompts for inference
• Transformer Architecture Understanding: Solid grasp of transformer-based models, attention mechanisms, tokenization and strategies, language modeling principals.
• Data Preprocessing for Language Tasks: Experience preparing and curating text datasets for tasks like text classification, summarization, Q&A, and generative text.
• Model Deployment and Serving: Familiarity with deploying LLMs via APIs using FastAPI/Flask, Docker and serving them efficiently
• Cloud and Compute infrastructure: Experience training and running LLMs on GPUs using AWS, Azure or GSP with awareness of memory optimization, and inference speed-ups.​
• Ability to obtain an NIH Public Trust
• Location: Mostly remote, occasionally hybrid. Onsite presence at customer location in Bethesda, MD may be required for in-person meetings, to facilitate collaboration.

Desired qualifications:

• Experience with scientific research environment, preferably at NIH

GDIT IS YOUR PLACE:

• Full-flex work week to own your priorities at work and at home
• 401K with company match
• Comprehensive health and wellness packages
• Internal mobility team dedicated to helping you build your skills and own your career
• Professional growth opportunities including paid education and certifications
• Cutting-edge technology you can learn from
• Rest and recharge with paid vacation and 10 company-paid holidays

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