Software Engineer
InterImage
We are seeking a motivated and innovative Software Engineer to support the development of next-generation AI-enabled solutions for mission-driven environments across the Department of Defense and other federal initiatives. This role is ideal for candidates who are passionate about software engineering, curious about Generative AI, and eager to help modernize how technology supports national security and operational effectiveness. You do not need to be an AI expert to succeed in this role. We are looking for engineers with strong technical foundations, problem-solving ability, and a willingness to learn emerging technologies in a fast-paced environment. This position offers the opportunity to work alongside experienced engineers, architects, and mission stakeholders to explore and implement Generative AI capabilities that improve automation, data analysis, decision support, and product innovation. Salary: 85,000 - 130,000 Key Responsibilities Support the design, development, testing, and deployment of modern software applications and AI-enabled tools Assist with integrating Generative AI technologies into internal and customer-facing products Collaborate with cross-functional engineering teams to prototype emerging capabilities Develop APIs, automation workflows, and scalable backend services Participate in Agile software development activities including sprint planning, standups, and code reviews Research and evaluate new AI/ML frameworks, tools, and technologies Contribute to cloud-native and containerized development environments Help document technical solutions, system architecture, and development processes Support continuous improvement initiatives focused on modernization and innovation What Makes This Opportunity Different Work on meaningful technologies supporting mission modernization Gain hands-on exposure to cutting-edge Generative AI capabilities and real-world applications Join a growing engineering environment focused on innovation, modernization, and emerging technology adoption Collaborate with experienced technical leaders and mentors invested in your growth Opportunity to help shape the future of AI-enabled federal solutions from the ground floor Basic Qualifications Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Cybersecurity, Mathematics, or related technical field Internship, academic project, research, or personal project experience in software development Strong analytical and problem-solving skills Desire to learn and adapt to emerging technologies, particularly Generative AI Ability to work effectively within a collaborative team environment Strong written and verbal communication skills Ability to obtain and maintain a government security clearance preferred Desired Technical Exposure Experience or familiarity with some of the following is preferred: Python, Java, JavaScript, or Go REST APIs and microservices Git/GitLab/GitHub version control Cloud environments such as AWS or Azure Docker, Kubernetes, or containerized development Frontend frameworks such as React or Angular Data processing and automation scripting AI/ML concepts or exposure to tools such as OpenAI APIs, LangChain, vector databases, or LLM integrations CI/CD pipelines and DevSecOps practices 401K: up to 3% discretionary profit sharing contribution + 100% match on the 1st 7% of pay PTO: 20 days per year Healthcare, dental, vision, Free for a single participant $50,000 Life insurance provided, additional voluntary life insurance available InterImage is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. InterImage provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.
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