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Senior Software Development Engineer (#25-014)
Job Code:25-014
Location:Washington, D.C. - Hybrid
FT/PT Status:Full Time
Required Clearance:Public Trust
  
Strategic Analysis, Inc (SA) is seeking a versatile, skilled Intermediate Senior Software Development Engineer to support the Advanced Research Projects Agency for Health (ARPA-H). The ARPA-H mission is to accelerate better health outcomes for everyone by supporting the development of high-impact solutions to society's most challenging health problems.  

Responsibilities:

1. Stay up to date on the most current developments in the generative AI space. 
2. Deploy machine learning models and services on cloud platforms such as AWS, Google Cloud, or Azure. 
3. 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. 
4. Develop and maintain data pipelines to ensure seamless data flow for model training and evaluation.
5. Communicate technical concepts and project progress to non-technical stakeholders and team members. 
6. Conduct experiments to fine-tune parameters and optimize model performance.
7. Implement techniques to improve the efficiency and scalability of LLM and RAG systems. 
8. Stay up-to-date with the latest advancements in NLP, machine learning, and deep learning fields to inform project strategies.          9. Monitor and maintain deployed models to ensure they perform reliably and meet performance benchmarks. 
10. Ensure code quality by following best practices in software development, including version control, testing, and continuous integration/continuous deployment (CI/CD). 
11. Document code and maintain comprehensive technical documentation to support team knowledge sharing and project handovers.


Qualifications: 

1. 10+ years of experience delivering production ready , industrial strength code, and implementing CI/CD pipelines. 
2. Proficiency in Python and familiarity with libraries such as TensorFlow and PyTorch. 
3. Extensive experience with neural network architectures, particularly transformers, and NLP techniques. 
4. RAG and Data Engineering: - Understanding of Retrieval-Augmented Generation (RAG) and hands-on experience with implementing RAG solutions. 
5. Proficiency in handling and preprocessing large datasets, as well as experience with data pipelining and ETL processes.                 6. Experience with cloud platforms like AWS, Google Cloud or Azure for deploying ML models. 
7. Strong software engineering fundamentals, including version control, testing, and CI/CD. 
8. Ability to design efficient algorithms for data retrieval and model training, and optimize models through hyperparameter tuning.
9. Hands-on experience with the following - Python, pytorch, tensofflow, pandas, Scikit-learn, teras and other AI/Ml libraries. 
10. JavaScript - Other object-oriented programming languages - React.js 
11. Cloud Architecture Frameworks such as AWS well architected 
12. Experience with Large Language Models (LLM) and Retrieval-Augmented Generation (RAG) architecture.


Qualification Requirements:
    Education
   Bachelors Degree

     Clearance
           HHS, NIH Public Trust (Ability to obtain
SA is an equal opportunity/Affirmative Action Plan employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship makes hiring decisions based solely on qualifications, merit, and business needs at the time.