
Generative AI Software Engineer
Washington, DCJobSeen 1w agoSeen in employer's feed today
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Requirements
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Job overview
Tuknik Government Services, a Koniag Government Services company, seeks a Generative AI Software Engineer for a future business opportunity supporting a U.S. Army modernization and automation program. The engineer will build secure generative AI services and workflow integrations under approved architecture and Responsible AI controls. This is a contingent recruiting profile; the opening, employing subsidiary, compensation, work location, and staffing depend on final contract authorization.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Tuknik Government Services, LLC a Koniag Government Services company , is seeking a Generative AI Software Engineer with a Secret security clearance to support TGS in supporting our government customer in the DC Metro area. This position is for a Future New Business Opportunity.
Benefits include medical, dental, and vision insurance, 401(k) retirement plan, paid time off, paid parental leave, life and disability insurance, flexible spending accounts, commuter benefits and tuition reimbursement.
Tuknik Government Services, LLC Koniag Government Services (KGS) is seeking qualified candidates for this role supporting our U.S. Army customer on a large-scale Army contracting systems modernization and automation program. Builds secure generative AI services and workflow integrations under approved architecture and Responsible AI controls. The engineer implements retrieval, prompt, orchestration, evaluation, and monitoring components that assist users without replacing required Government decisions. This is a contingent recruiting profile; the opening, employing subsidiary, compensation, work location, and staffing remain subject to final contract authorization.
Essential Functions, Responsibilities & Duties may include, but are not limited to:
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Develop generative AI services for approved use cases such as document drafting, policy analysis, knowledge retrieval, summarization, and diagnostic assistance.
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Implement secure integrations between Appian and authorized model endpoints using structured requests and responses.
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Build retrieval-augmented generation workflows using approved authoritative sources, metadata, access controls, and citation requirements.
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Develop prompt templates, orchestration logic, validation rules, guardrails, and exception-handling paths.
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Create automated evaluation suites for accuracy, groundedness, citation quality, safety, latency, cost, and expected behavior.
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Implement role-based access, data minimization, redaction, audit logging, model/prompt versioning, and human-approval controls.
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Package and deploy AI components through approved DevSecOps pipelines and produce SBOM, test, security, and release evidence.
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Monitor production quality, usage, failures, token or consumption patterns, and user feedback and tune solutions within approved limits.
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Investigate AI-related defects and coordinate corrections with Appian, data, security, API, and product teams.
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Document solution architecture, data flows, prompts, evaluations, operational procedures, and known limitations.
Education and Experience Required:
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Bachelor's degree in computer science, engineering, data science, or a related field; additional relevant experience may substitute for education.
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Four or more years of software engineering experience, including practical development with large language models or generative AI services.
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Strong Python or comparable backend development skills and experience with REST APIs, authentication, structured data, testing, and observability.
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Experience implementing retrieval-augmented generation, prompt orchestration, automated evaluations, and secure AI application patterns.
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U.S. citizenship and the active security clearance or eligibility required for the assigned work by the start of performance, with ongoing eligibility thereafter.
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Ability to communicate clearly with Government, technical, and business stakeholders and to maintain accurate work records in approved systems.
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Ability to protect Controlled Unclassified Information and classified information, when assigned, and comply with required access, training, and handling procedures.
Education and Experience Desired:
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Experience with AWS Bedrock, commercial or Government generative AI platforms, vector search, and agent frameworks.
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Experience integrating AI into Appian or another workflow/case-management platform.
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Knowledge of DoD authorization, CUI handling, responsible AI, and software supply-chain controls.
Required Skills and Competencies:
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Python and AI service development
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Retrieval-augmented generation and prompt engineering
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Automated model evaluation and guardrails
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Secure API integration and observability
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DevSecOps delivery and technical documentation
Work Environment and Travel:
Work may occur remotely when authorized, at Government facilities, or in controlled office and data-center environments. Work involving classified information or SIPRNet will be performed at a Government-approved secure location using authorized systems. The role generally supports Government business hours, with occasional release, incident-response, maintenance-window, or approved travel requirements. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions.
Our Equal Employment Opportunity Policy
The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment.
The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e-mail at [email protected] or by calling 703-488-9377 to request accommodations.
Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit www.koniag-gs.com.
Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352
How this job compares
Set against the 42,014 open Software Engineer jobs on Olive Jobs, counted November 7, 2026.
- Pay
- This postingNot listed
- Washington, D.C. median$135–210K/yr492 salary ranges
- US median$48–65/hr1,085 hourly ranges
- Openings
- Olive Jobs lists 582 open Software Engineer jobs in Washington, D.C. and 42,014 across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 4 years of experience; Software Engineer postings that state a minimum ask for 5 years at the median (34,412 postings).
- Education
- 13,315 of the 42,014 open Software Engineer jobs (32%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 7, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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