Software/AI developer
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
Technologies
Python · TypeScript · JavaScript · React · Go · FastAPI · Postgres · AWS · Docker · Kubernetes · Helm · Terraform
About Rackner
Cloud-native software consultancy building AI/ML, DevSecOps, and Zero Trust platforms for US federal and defense agencies, plus enterprise and startup clients.
Bootstrapped · 10–50 people
Job description
The full responsibilities and requirements are on the employer’s site.
Read the job description ↗Source and classification
Internal deployment & tooling · Evidence for this classification:
Software/AI developer. R&D Location: United States Work Model: Remote Travel: Approximately 15% for R&D events, technical demos, and collaboration sessions Clearance: U.S. citizenship required. Active Secret clearance preferred; candidates must be eligible to obtain and maintain a U.S. government security clearance. Build Mission-Focused Software and AI Capabilities Rackner is seeking a Software/AI Developer. R&D to design, build, test, and demonstrate software and AI-enabled capabilities supporting government and defense missions. This is a hands-on engineering role for someone who enjoys turning ideas and mission needs into working software. You will work alongside R&D engineers, technical leaders, and mission stakeholders to rapidly develop prototypes, backend services, APIs, data workflows, and AI-enabled applications that can be tested with real users and matured into
More from the job description
Software/AI developer. R&D Location: United States Work Model: Remote Travel: Approximately 15% for R&D events, technical demos, and collaboration sessions Clearance: U.S. citizenship required. Active Secret clearance preferred; candidates must be eligible to obtain and maintain a U.S. government security clearance. Build Mission-Focused Software and AI Capabilities Rackner is seeking a Software/AI Developer. R&D to design, build, test, and demonstrate software and AI-enabled capabilities supporting government and defense missions. This is a hands-on engineering role for someone who enjoys turning ideas and mission needs into working software. You will work alongside R&D engineers, technical leaders, and mission stakeholders to rapidly develop prototypes, backend services, APIs, data workflows, and AI-enabled applications that can be tested with real users and matured into operational capabilities. The right person is a strong software developer who is comfortable working in an R&D environment where requirements may evolve as we learn. You should be able to take ownership of technical problems, write quality code, experiment with new approaches, and move from an early concept to a working demonstration. The work may involve AI/ML applications, large language models (LLMs), agentic AI, backend development, APIs, data pipelines, analytics, automation, mission systems, and c [... source excerpt omitted ...] and services into usable software applications rather than treating AI as a standalone experiment. Develop prototypes and proofs of concept that can be demonstrated to government customers and mission users. Work with structured and unstructured data, including data ingestion, transformation, validation, and retrieval. Write clean, maintainable, testable code and participate in code reviews and technical design discussions. Debug software, integration, data, and model-related issues across development and testing environments. Collaborate with DevSecOps engineers to containerize, deploy, monitor, and improve applications in cloud and secure environments. Evaluate new AI mod [... source excerpt omitted ...] nt technical decisions, APIs, system behavior, and development approaches so solutions can be maintained and extended. What You’ll Bring U.S. citizenship due to federal contract requirements. Ability to obtain and maintain a U.S. government security clearance. Strong hands-on software development experience, particularly with Python. Experience developing backend applications, services, APIs, or data-driven software. Experience building, integrating, or supporting AI/ML or generative AI applications. Understanding of software engineering fundamentals, including application design, testing, debugging, version control, and code review. Experience working with APIs, JSON, databa
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