Senior Full Stack Software Engineer - AI ML Model Development, ML Operations, and Applied Data Science
Falls Church, VA
Full Time Senior-level / Expert Clearance required USD 141K - 262K *
Redhorse
We’ve all been on your side of the table at some point in our careers, in uniform or government. That experience helps us understand your challenges in a…
About the OrganizationNow is a great time to join Redhorse Corporation. Redhorse specializes in developing and implementing creative strategies and solutions with private, state, and federal customers in the areas of cultural and environmental resources services, climate and energy change, information technology, and intelligence services. We are hiring creative, motivated, and talented people with a passion for doing what's right, what's smart, and what works.
About the RoleRedhorse is seeking a highly skilled Senior Full Stack Software Engineer to join our team supporting the Chief Digital and Artificial Intelligence Office (CDAO) within the Department of Defense (DoD). You will play a critical role in designing, developing, and maintaining cutting-edge software solutions that enable AI/ML model development, MLOps workflows, and applied data science initiatives within the Advana platform. This is a high-impact role directly influencing the DoD's ability to leverage data for improved decision-making. You will work alongside a collaborative team of data scientists, UX designers, and other engineers to build scalable and impactful AI solutions for mission-critical applications.
About the RoleRedhorse is seeking a highly skilled Senior Full Stack Software Engineer to join our team supporting the Chief Digital and Artificial Intelligence Office (CDAO) within the Department of Defense (DoD). You will play a critical role in designing, developing, and maintaining cutting-edge software solutions that enable AI/ML model development, MLOps workflows, and applied data science initiatives within the Advana platform. This is a high-impact role directly influencing the DoD's ability to leverage data for improved decision-making. You will work alongside a collaborative team of data scientists, UX designers, and other engineers to build scalable and impactful AI solutions for mission-critical applications.
Key Responsibilities
- Design and develop software requirements for multiple Artificial Intelligence-based support capabilities, including software architectures, APIs, frameworks, and libraries.
- Develop the front-end and back-end of software prototypes, components, and tooling to accelerate the prototyping process.
- Maintain and guide the development of common libraries and tools used by multiple teams.
- Maintain the existing code base of in-production applications, performing bug fixes, code and component library updates to meet security and performance needs, and capability enhancements as planned in the sprint schedule.
- Collaborate closely with clients and requirements owners to build out product lines.
- Develop plans, roadmaps, and software design strategies. Analyze and decompose activities and requirements into software designs allocated across systems components/sub-components.
- Contribute to formulating a strategy for achieving rapid prototyping of AI capabilities, including Generative AI.
- Collaborate with data scientists, UX designers, cognitive scientists, developers, and testers to create cohesive and robust software designs forming the basis of scalable AI solutions.
- Document requirements and specifications and review documentation provided by other teams and vendors.
- Optimize software designs and architectures to meet performance targets and devise tooling and methodologies to profile execution and capture performance metrics.
- Stay informed on the latest AI systems, software architectures, and trends, from design patterns to DevSecOps and systems architecture patterns.
- Capture, develop, and report reference architectures and document compliance standards.
- Manage the lifecycle of CI/CD pipelines and optimize software architectures for performance, ensuring compliance with DoD cybersecurity and DevSecOps standards. Integrate containerized environments through Kubernetes.
Required Experience/Clearance
- Bachelor’s degree plus 7-10 years of experience, or a Master’s degree plus 5 years of experience.
- Programming experience with Python, JavaScript, and at least one other programming language (Java preferred).
- Experience with front-end frameworks like React or Vue. Experience with back-end runtimes and frameworks like Node.js, Spring, Spring Boot, Django, Flask, etc.
- Experience with Agile software development methodologies, tools, and providing leadership to other developers operating within an Agile framework.
- DevSecOps experience, including the use of Continuous Integration/Continuous Delivery (CI/CD) tooling (Git runners, code scanning tools).
- Experience with containerization and the use of Kubernetes.
- Familiarity with Object Relational Mapping persistence frameworks (e.g., SQLAlchemy), and with PostgreSQL.
- Strong communication skills. Ability to proactively engage with CDAO members both inside and outside your team.
- Ability to synthesize requirements underlying feature requests, recommend alternative technical and business approaches, and facilitate engineering efforts to meet aggressive timelines.
- Active DoD 8140 IAT Level III certification is preferred.
- Active Top Secret (TS) security clearance with Sensitive Compartmented Information (SCI) eligibility.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Tags: Agile APIs Architecture CI/CD Django Engineering Flask Generative AI Git Java JavaScript Kubernetes Machine Learning ML models MLOps Node.js Pipelines PostgreSQL Prototyping Python React Security UX Vue
Region:
North America
Country:
United States
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