AI GPT Senior Developer

Posted 15 Hours Ago
Be an Early Applicant
Hiring Remotely in United States of America
Remote
105K-189K Annually
Senior level
Information Technology • Software
The Role
The AI GPT Senior Developer will design, develop, and deploy LLMs and RAG solutions, manage data pipelines, collaborate with cross-functional teams, and ensure efficient and scalable performance of deployed models. The role emphasizes continuous learning and application of current AI advancements.
Summary Generated by Built In

In this rapidly evolving world, Leidos is always looking for new ways to disrupt the status quo, go to market faster, and optimize customer experiences.  We’re seeking an experienced AI GPT Senior Developer who can bring creative ideas to solve complex problems, both technical and procedural, to the team. The ability to be adaptable and to work constructively with a technically diverse and geographically separated team is crucial.  You will work as an integral part of an Agile Scrum team, supporting development within an innovative AI GPT technology. 

We are looking for a hands-on senior software developer with real-life experience Designing, developing, and deploying large language models (LLMs) and Retrieval-Augmented Generation (RAG) solutions to production environments. We are not looking for someone that only has theoretical or white/board design experience.

Candidate MUST:

Be currently located in the United States for the current three consecutive years.

Be US Citizen or US Person (Green Card Holder) with the ability to obtain a Public Trust Clearance.

Role is primarily telecommute (US ONLY)

Responsibilities:

- Stay up to date on the most current developments in the generative AI space.

-Deploy machine learning models and services on cloud platforms such as AWS, Google Cloud, or Azure. - Collaborate with cross-functional teams, including data scientists, researchers, and other engineers, to integrate LLMs and RAG into broader projects.

- Manage large datasets, including data cleaning, preprocessing, and transformation.

- Develop and maintain data pipelines to ensure seamless data flow for model training and evaluation.

- Communicate technical concepts and project progress to non-technical stakeholders and team members.

- Conduct experiments to fine-tune parameters and optimize model performance. - Implement techniques to improve the efficiency and scalability of LLM and RAG systems.

- Stay up-to-date with the latest advancements in NLP, machine learning, and deep learning fields to inform project strategies.

- Monitor and maintain deployed models to ensure they perform reliably and meet performance benchmarks.

- Ensure code quality by following best practices in software development, including version control, testing, and continuous integration/continuous deployment (CI/CD).

- Document code and maintain comprehensive technical documentation to support team knowledge sharing and project handovers.

Basic Qualifications 

  • Active Public Trust Clearance or Ability to obtain a Public Trust Clearance 
  • Bachelor’s Degree and - 10+ years of experience delivering production ready , industrial strength code, and implementing CI/CD pipelines.
  • - Proficiency in Python and familiarity with libraries such as TensorFlow and PyTorch. Extensive experience with neural network architectures, particularly transformers, and NLP techniques. RAG and Data Engineering:
  • - Understanding of Retrieval-Augmented Generation (RAG) and hands-on experience with implementing RAG solutions.
  • - Proficiency in handling and preprocessing large datasets, as well as experience with data pipelining and ETL processes.
  • - Experience with cloud platforms like AWS, Google Cloud, or Azure for deploying ML models. Strong software engineering fundamentals, including version control, testing, and CI/CD.
  • - Ability to design efficient algorithms for data retrieval and model training, and optimize models through hyperparameter tuning.

Additional Technical Skills 

  • - Experience with Large Language Models (LLM) and Retrieval-Augmented Generation (RAG) architecture
  • Hands-on experience with the following:
  • - Python, pytorch, tensofflow, pandas, Scikit-learn, teras and other AI/Ml libraries
  • - JavaScript
  • - Other object-oriented programming languages
  • - React.js
  • - Cloud Architecture Frameworks such as AWS well architected

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Original Posting Date:2025-01-22

While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $104,650.00 - $189,175.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Top Skills

JavaScript
Python
The Company
Alexandria, VA
27,104 Employees
On-site Workplace

What We Do

We Are Leidos

For 50 years we have been tackling some of the biggest problems that face our nation and our world.

OUR MISSION
Through our culture of innovation and history of performance, we develop deep customer trust built on integrity and create enduring solutions that improve our world. Leidos is a science and technology solutions leader working to address some of the world’s toughest challenges in the defense, intelligence, homeland security, civil, and healthcare markets. The company’s 43,000 employees support vital missions for government and commercial customers. Headquartered in Reston, Va., Leidos reported annual revenues of approximately $11.09 billion for the fiscal year ended January 3, 2020.

Leidos was cited for the meaningful work employees perform that is challenging, impactful, and aligned with our customers’ missions as reasons professionals want to work and stay at our company. Leidos has also been named to lists including Forbes’ Best Employers for Diversity, Forbes’ America’s Best Employers for Women, Military Times Best for Vets Employers, and Ethisphere Institute’s World's Most Ethical Companies®.

Employees enjoy career enrichment opportunities available through mobility and development and experience rewarding relationships with supportive supervisors and talented colleagues and customers. Employees appreciate our flexible work environment, allowing for and encouraging a true work-life balance. Our professionals are also excited about our Employee Resource Groups, like the newly launched Collaborative Outreach with Remote and Embedded Employees (CORE), which strives to create an environment where every employee, regardless of location, feels fully engaged as a valued employee of Leidos.

Your most important work is ahead.

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