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Cherokee Federal · 21 hours ago

AI Engineer

United States

Full-time

Remote

Mid, Senior Level

$110K/yr - $140K/yr

3+ years exp

Cherokee Federal is a division of tribally owned federal contracting companies focused on serving government clients. They are seeking an AI Engineer to develop and deploy AI/ML solutions for the IRS Unified API initiative, collaborating with teams to ensure secure and scalable AI capabilities.

GovernmentNon ProfitProfessional ServicesPublic Relations

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

AI/ML Solution Development: Design, build, and optimize machine learning models for tasks such as language conversion, code generation, error detection, and automated testing

Model Deployment & Integration: Deploy models into production environments using tools like AWS SageMaker, GCP Vertex AI, or custom APIs (FastAPI, TorchServe); ensure operational readiness and scalability

API Enablement for AI Workflows: Develop APIs that support model inference, feedback loops, and integration with IRS microservices; ensure compliance with REST/GraphQL/gRPC standards

MLOps & Automation: Implement CI/CD pipelines for ML workflows; manage model versioning, monitoring, and retraining using tools like MLflow, Docker, and Kubernetes

Data Collaboration: Work closely with data engineers to ensure high-quality datasets for training and inference; support feature engineering and data validation

Performance & Observability: Configure synthetic monitoring and alerts for deployed models and AI-enabled APIs using Datadog, Prometheus, or similar tools

Documentation & Governance: Produce clear documentation for models, APIs, and workflows; ensure alignment with IRS/Treasury IT governance and security standards

Innovation & Research: Explore and apply advanced techniques such as LLMs, generative AI, and Retrieval-Augmented Generation (RAG) to enhance IRS modernization efforts

Qualification

PythonMLOps toolsNLPModel DeploymentDeep Learning FrameworksCloud PlatformsData PipelinesDocumentationCollaborationMentoring

Required

U.S. Citizenship is required

Ability to obtain a DoD Secret Security Clearance and IRS suitability/Public Trust

3–5+ years in software or ML engineering with a proven track record of leading end-to-end AI/ML projects and mentoring junior team members

Proficient in Python and deep learning frameworks (PyTorch, TensorFlow)

Strong experience with NLP and LLMs

Hands-on with MLOps tools (MLflow, Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure)

Skilled in building and maintaining data pipelines for ML workflows

Experience deploying models to production using SageMaker, Vertex AI, or custom API frameworks (FastAPI, TorchServe)

Preferred

Candidates with an active IRS suitability/Public Trust are preferred

Bachelor degree strongly preferred; Computer Science or related technical degree preferred OR equivalent experience

Experience with LLMs, generative AI, RAG architectures

Open-source contributions or domain expertise in finance, healthcare, or recommendation systems

Benefits

Medical

Dental

Vision

401K

Other possible benefits as provided

Company

Cherokee Federal

Cherokee Federal, a division of Cherokee Nation Businesses, is a trusted team of government contracting professionals who can rapidly build innovative solutions.

Founded in 1969

Tulsa, Oklahoma, USA

5001-10000 employees