Bachelor's degree in computer science, engineering, data science, or related field; relevant experience may substitute for education.
Four or more years of software engineering experience, particularly with large language models or generative AI services.
Strong Python skills and experience with REST APIs, authentication, and structured data.
Experience with retrieval-augmented generation, prompt orchestration, and secure AI application patterns.
U.S. citizenship with active security clearance or eligibility required for assigned work.
Ability to communicate effectively with Government and technical stakeholders.
Responsibilities
Develop generative AI services for use cases like document drafting and policy analysis.
Implement secure integrations between Appian and authorized model endpoints.
Build retrieval-augmented generation workflows using approved sources and access controls.
Create prompt templates, orchestration logic, and validation rules.
Develop automated evaluation suites for accuracy and safety metrics.
Monitor production quality and user feedback to tune solutions.
Document solution architecture and operational procedures.
Benefits
Remote work options when authorized.
Work in controlled office and data-center environments.
Support for Government business hours with occasional travel requirements.
Reasonable accommodations for qualified individuals with disabilities.
Full Job Description
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:
Develop generative AI services for approved use cases such as document drafting, policy analysis, knowledge retrieval, summarization, and diagnostic assistance.
Implement secure integrations between Appian and authorized model endpoints using structured requests and responses.
Build retrieval-augmented generation workflows using approved authoritative sources, metadata, access controls, and citation requirements.
Create automated evaluation suites for accuracy, groundedness, citation quality, safety, latency, cost, and expected behavior.
Implement role-based access, data minimization, redaction, audit logging, model/prompt versioning, and human-approval controls.
Package and deploy AI components through approved DevSecOps pipelines and produce SBOM, test, security, and release evidence.
Monitor production quality, usage, failures, token or consumption patterns, and user feedback and tune solutions within approved limits.
Investigate AI-related defects and coordinate corrections with Appian, data, security, API, and product teams.
Document solution architecture, data flows, prompts, evaluations, operational procedures, and known limitations.
Education and Experience Required:
Bachelor's degree in computer science, engineering, data science, or a related field; additional relevant experience may substitute for education.
Four or more years of software engineering experience, including practical development with large language models or generative AI services.
Strong Python or comparable backend development skills and experience with REST APIs, authentication, structured data, testing, and observability.
Experience implementing retrieval-augmented generation, prompt orchestration, automated evaluations, and secure AI application patterns.
U.S. citizenship and the active security clearance or eligibility required for the assigned work by the start of performance, with ongoing eligibility thereafter.
Ability to communicate clearly with Government, technical, and business stakeholders and to maintain accurate work records in approved systems.
Ability to protect Controlled Unclassified Information and classified information, when assigned, and comply with required access, training, and handling procedures.
Education and Experience Desired:
Experience with AWS Bedrock, commercial or Government generative AI platforms, vector search, and agent frameworks.
Experience integrating AI into Appian or another workflow/case-management platform.
Knowledge of DoD authorization, CUI handling, responsible AI, and software supply-chain controls.
Required Skills and Competencies:
Python and AI service development
Retrieval-augmented generation and prompt engineering
Automated model evaluation and guardrails
Secure API integration and observability
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.
About Koniag Government Services
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