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AI/ML Engineer (Mid-Level) - Hybrid (US Citizens/ Green Cards- Local to DMV only)

Swingtech Page
Northwest WashingtonRemoteMid level15+ yrs
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Straight from the company’s own careers site.

The job in short

Mid-level AI/ML engineering, hybrid DMV.

PythonSQLRAGFine-tuningAgenticAudit

Details

Found
29 d ago · posted 2026-09-18
Location
Northwest Washington, DC

Full description

About Swingtech Swingtech delivers innovative Information Technology and Professional Support services to a diverse range of clients across the federal and intelligence communities. With over 15 years of trusted experience as a systems integrator, we apply agile methodologies and deep industry insight to help our customers achieve greater efficiency, compliance, and cost savings. At Swingtech, we’re committed to excellence and long-term success for our clients and our team. AI/ML Engineer (Mid) Position Summary 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. Essential Duties • 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. Required Qualifications • 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. • Must be willing to work 3 days onsite at customer site in Washington, DC. Preferred Qualifications • 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. Summary of Benefits • 15 PTO days • 11 paid holidays • Medical Insurance with – 3 options (HSA with $600 Employer Contribution). • Dental Insurance with no age limit orthodonture. • Vision Insurance through EyeMed in and out of network coverage. • Short Term and Long-Term Disability coverage with 100% premium support, • Life insurance and AD&D with 100% premium support • Supplemental Life Insurance • Critical Care and Accident Insurance availability • Pet Insurance through Nationwide • Employee Assistance Program • 401k with enrollment from day one. 4% deferral by company. • $1500 Annual Training Budget • $1500 Referral bonus • Eligibility for annual merit and discretionary bonus • Flexible work arrangements Equal Opportunity Employer Minority/Female/Veterans/Disabled

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