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Senior-Level Full Stack Software Engineer
PeopleTecUnited Statesfull_timeVerifiedPosted 6 Feb 2025
About the role
Responsibilities
PeopleTec is currently seeking a Senior-Level Full Stack Software Engineer to support our DC-area offices of the Chief Digital and AI Office in Falls Church, Pentagon, Alexandria, and Arlington locations.
Duties Include:
- Develop a generalized tool to semantically search, summarize, and categorize unstructured data
- Participate in DoD and government AI/ML Task Forces, connect with others in DoD working on similar capabilities, and share best practices with an LLM community of practice
- Extend a generalized API deployed to NIPR to semantically search, summarize, and categorize unstructured data and enable others across the Department to use the API within the paradigm of CDAO / Advana 1.2's self-service model
- Support the installation of the capability on other networks at different classification levels, including SIPRnet and JWICS
- Includes a set of swappable containers with different functions that provide inputs and outputs through an API.
- Develop methodology to test how Search performance (with varying levels of prompt engineering)
- Contribute to and drive a demand signal for a data operations playbook for unstructured data
- Develop a cost model for semantic search API use cases
- Contribute to and drive a demand signal for a data operations playbook for unstructured data
- Develop and document a strategy and implementation plan to ingest and consistently store unstructured data on the Advana platform, following the Bronze/Silver/Gold table paradigm (i.e. raw files in bronze, parsed/transformed data in silver, cleaned, processed and data available for query in gold)
- Develop an approach to address issues arising from maintaining semantic indices associated with document change management and version control for unstructured data, such as when a new manual comes out to replace a previous version
Major Duties/Tasks:
- Designs and develops software requirements for multiple Artificial Intelligence based support capabilities including the software architectures, APIs, frameworks, and libraries.
- Develops front end and backend of software prototypes, components, and tooling that can be leveraged to speed prototyping process.
- Maintains and guides the development of common libraries and tools used by multiple teams.
- Maintains the existing code base of in-production applications, performing bug fixes, updates of code and component libraries to meet security and performance needs as required, and capability enhancements as planned in the sprint schedule.
- Works closely with clients and requirements owners to build out product lines.
- Develops plans, road maps, software design strategies. Analyze and decomposes activities and requirements to software designs that are allocated across systems components/sub-components.
- Aids in formulating a strategy on how to achieve rapid prototyping of AI capabilities, including Generative AI.
- Works with data scientists, UX designers, cognitive scientists, developers, and testers to compose cohesive and sound software designs that form the basis of scalable AI solutions.
- Documents requirements and specifications and reviews documentation provided by other teams and vendors.
- Optimizes software designs and architectures to deliver desired performance targets and devises tooling and methodologies to profile execution and capture performance metrics.
- Stays informed on latest AI system and software architectures and trends from design patterns to DevSecOps and systems architecture patterns.
- Captures, develops, and reports reference architectures and documenting compliance standards.
Qualifications
Required Skills/Experience:
- Programming experience with Python, JavaScript, and at least one more programming language (Java is preferred).
- Experience with front end frameworks like React or Vue. Experience with backend 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 use of Kubernetes.
- Familiarity with Object Relational Modeling persistence frameworks (e.g. SQLAlchemy), and with PostgreSQL.
- Well versed in modern software architectures like micro-services as well as front-end frameworks.
- Strong communications skills: you will be required to proactively engage fellow CDAO me
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