AI/ML Engineer (Mid-Level) - Hybrid (US Citizens / Green Cards- Local to DMV only)
At a glance
Mid-level Machine Learning Engineering role at Swingtech. Northwest Washington · full-time · no salary stated · we estimate $142,875–$228,150 across the United States.
Swingtech has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build AI applications, APIs, RAG pipelines, retrieval services and workflow automations for DOL solutions
- Help develop and tune models, improve prompts, assess results, manage releases and monitor production systems
- Add safeguards to automated tools, including approval steps, audit records and controlled tool use
- Write Python and SQL code, create automated tests, and take part in CI/CD, MLOps and code reviews
- Prepare technical records and support security, privacy, accessibility, incident response and defect resolution
What you bring
- A bachelor's degree in a technical discipline such as computer science, data science or a related field
- At least three years of relevant experience, including two years working on AI/ML or AI-enabled software
- Hands-on ability with Python, SQL, REST APIs, Git, automated testing and software-development practices
- Experience or demonstrated skill in at least one listed area, such as RAG, NLP, embeddings or model evaluation
Who this fits
This mid-level individual contributor role suits someone who can build and test AI/ML features within an agile, multidisciplinary team. You must be a U.S. citizen or Green Card holder and live locally in the DMV area. The role requires working onsite at the Washington, DC customer location three days each week.
From the employer
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