Green Cards- Local to DMV only)

Swingtech•Washington, DC

6d•Hybrid

About The Position

The Mid-Level AI/ML Engineer is a hands-on technical contributor supporting the discovery, development, testing, deployment, and sustainment of DOL AI-enabled solutions. The position works closely with Senior AI/ML Engineers, data engineers, developers, business analysts, project managers, and DOL stakeholders to deliver secure, measurable, and maintainable AI capabilities.

Requirements

Bachelor’s degree in computer science, data science, software engineering, information systems, mathematics, statistics, or another relevant technical discipline.
At least three years of overall relevant experience, including at least two years in AI/ML implementation, NLP, data science, generative AI, or AI-enabled software development.
Experience with Python, SQL, REST APIs, Git, automated testing, and software-development practices.
Experience or demonstrated proficiency with one or more of the following: ML frameworks, LLM APIs, RAG, embeddings, vector search, NLP, document intelligence, data pipelines, or model evaluation.
Familiarity with AWS, Azure, Google Cloud, or comparable cloud-development environments.
Ability to work effectively in a multidisciplinary agile team and communicate technical information clearly.

Nice To Haves

Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, Hugging Face, MLflow, vector databases, containerization, or Kubernetes.
Familiarity with Federal cybersecurity, accessibility, privacy, Responsible AI, FedRAMP, FISMA, NIST, or ATO practices.
Experience supporting Government, public-sector, health, benefits, grants, inspections, case management, document-processing, or knowledge-management systems.

Responsibilities

Develop AI/ML-enabled applications, APIs, data-processing components, model integration layers, RAG pipelines, retrieval services, workflow automations, and technical prototypes.
Support model development, fine-tuning, prompt/context engineering, evaluation, version control, release management, and production monitoring.
Build RAG capabilities using approved document ingestion, parsing, metadata extraction, chunking, embeddings, vector indexing, hybrid retrieval, reranking, citation validation, and knowledge-base refresh processes.
Implement agentic and workflow automation features, including approved MCP server or tool integrations, schema validation, controlled tool calls, audit logging, human-approval checkpoints, and safe failure handling.
Develop robust code in Python, SQL, and other required languages using secure software-development practices.
Create automated unit, integration, regression, data-quality, model-evaluation, and performance tests.
Support AI evaluation for model accuracy, relevance, hallucination, grounding, bias/fairness, explainability, safety, security, and user acceptance.
Participate in CI/CD, DevSecOps, MLOps, code-review, security-scanning, documentation, and source-control processes.
Prepare technical documentation, runbooks, test evidence, release notes, model documentation, and configuration records.
Support privacy, security, Responsible AI, accessibility, and ATO evidence-development activities.
Support operational monitoring, incident response, defect triage, corrective actions, and knowledge transfer.
Participate in agile ceremonies, demonstrations, backlog refinement, sprint planning, and retrospective improvement activities.