About this opportunity
Swingtech lists this AI/ML Engineer (Mid-Level) - Hybrid (US Citizens/ Green Cards- Local to DMV only) opportunity in washington, District of Columbia. Review the employer’s description below for duties, qualifications and application requirements.
Job description
AI/ML Engineer (Mid-Level) - Hybrid (US Citizens/ Green Cards- Local to DMV only)
Swingtech Northwest Washington, District of Columbia, United States
About this position
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.
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.
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.
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
Equal Opportunity Employer Minority/Female/Veterans/Disabled
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Worksite address
washington, DC, 20022, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.