Why This Role Stands Out
Leverage your extensive experience to lead the design and delivery of impactful AI-powered software solutions in this fully remote Senior AI Engineer role. You will drive innovation in cutting-edge technologies like GenAI and machine learning, making critical decisions and raising the technical bar for the team. If you possess strong algorithmic and problem-solving skills and a passion for end-to-end system ownership, this opportunity offers significant growth and the chance to shape the future of AI applications.
Quick Overview
Job Description
We're looking for a Senior AI Software Engineer with 8+ years of experience to join our AI applications team. This is a fully remote position for candidates in the continental U.S., with work hours aligned to the Eastern Standard Time (EST) zone. You will lead work across the software development lifecycle, from architecture and initial design through delivery, creating AI-powered software products that aid military commanders and business leaders in making mission-critical decisions. The ideal candidate will have exceptional algorithmic and problem-solving skills, a strong background in software engineering, and a record of owning systems end to end, enabling them to make an immediate impact and raise the technical bar for the team. We are committed to providing you with the necessary tools and training to produce world-class software.
Responsibilities- Technical Leadership: Lead the collaborative design, implementation, and testing of AI-enabled software systems. This role involves leveraging cutting-edge technologies, including GenAI and machine learning models, and setting the technical direction for how those components are built and evaluated.
- Architecture and Modular Systems: Own the design of modular systems within a distributed architecture, such as RESTful containerized microservices, including interfaces, data contracts, and failure modes.
- GenAI in Production: Define how LLM-backed features are orchestrated, tested, evaluated, and changed without rewriting the product.
- Performance Optimization: Review and analyze software runtime performance, making algorithmic and performance improvements with measured results.
- Engineering Practices: Use agile development techniques throughout the project lifecycle, and set expectations for design review, testing, and delivery on the work you own.
- Mentorship: Mentor other engineers on object-oriented design, algorithmic choices, and production use of LLMs. This is a senior individual-contributor role; people management is not required.
- Experience: 8+ years of experience in software development, including design, coding, testing, and delivery, with a record of owning systems rather than only contributing tasks. Candidates at the top of a 6-8 year band with clear technical leadership may be considered.
- Core Skills: You should have mastery in object-oriented design and programming, as well as knowledge of design patterns and algorithmic analysis.
- Programming Languages: Expert proficiency in Python is a must. Experience with other languages such as JavaScript, TypeScript, or C++ is useful but not critical.
- GenAI: Experience building and operating applications that use LLMs as a core component, including evaluation, failure handling, and a deployment path.
- Work Environment: Experience leading technical decisions on a small, remote team is preferred. Formal management experience is optional.
- Government Clearance: You must be a U.S. citizen and eligible for a government security clearance (Secret Clearance). An active or prior Secret is strongly preferred.
- AI/ML: Production experience with AI and/or machine learning beyond API calls, including model integration and comparison of approaches.
- Specialized Knowledge: Experience with discrete event simulation, geospatial and/or temporal databases, and performing scientific evaluations and comparisons is highly valued.
- Google Cloud Platform: Experience using and deploying technologies onto GCP, existing GCP credentials, and familiarity with Vertex AI.
- Technical Familiarity: Familiarity with technologies such as Docker, Node, and REST APIs is a bonus. Experience with database systems such as Firebase and PostgreSQL, in systems you have operated.
About Knexus At Knexus Research, we are at the forefront of AI development for the government, with a mission to revolutionize how government serves its citizens. As a pioneer in the field, we've spent nearly two decades pushing the boundaries of what is possible with artificial intelligence. Our work has a direct, mission-driven impact, and we believe that our innovative ideas help us stay ahead of the curve. Our partnership with Google Cloud gives our team unparalleled access to the latest tools and expertise.
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