AI/ML Engineer (Mid-Level) - Hybrid (s/ s- Local to DMV only)

Washington, DC, US • Posted 20 hours ago • Updated 7 hours ago

Full Time

On-site

Compensation information provided in the description

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

🔢 Crunching numbers...

Job Details

Skills

DMV
Information Technology
Regulatory Compliance
Cost Reduction
Development Testing
Data Processing
Prototyping
Release Management
Meta-data Management
Extraction
Knowledge Base
Workflow
Microsoft Certified Professional
Auditing
SAFE
Regression Analysis
Data Quality
Acceptance Testing
Continuous Integration
Continuous Delivery
DevSecOps
Machine Learning Operations (ML Ops)
Code Review
Version Control
Technical Writing
Release Notes
Documentation
Incident Management
Knowledge Transfer
Demonstrations
Sprint
Computer Science
Software Engineering
Information Systems
Mathematics
Statistics
Data Science
Generative Artificial Intelligence (AI)
Python
SQL
Git
Automated Testing
Software Development
Machine Learning (ML)
Natural Language Processing
Evaluation
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Cloud Computing
Agile
LangChain
LlamaIndex
Semantics
Vector Databases
Kubernetes
Cyber Security
Accessibility
Privacy
Artificial Intelligence
FedRAMP
FISMA
Public Sector
Management
Document Processing
Knowledge Management
Health Insurance
Network
Life Insurance
Insurance
Training
Budget

DMV
Information Technology
Regulatory Compliance
Cost Reduction
Development Testing
Data Processing
Prototyping
Release Management
Meta-data Management
Extraction
Knowledge Base
Workflow
Microsoft Certified Professional
Auditing
SAFE
Regression Analysis
Data Quality
Acceptance Testing
Continuous Integration
Continuous Delivery
DevSecOps
Machine Learning Operations (ML Ops)
Code Review
Version Control
Technical Writing
Release Notes
Documentation
Incident Management
Knowledge Transfer
Demonstrations
Sprint
Computer Science
Software Engineering
Information Systems
Mathematics
Statistics
Data Science
Generative Artificial Intelligence (AI)
Python
SQL
Git
Automated Testing
Software Development
Machine Learning (ML)
Natural Language Processing
Evaluation
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Cloud Computing
Agile
LangChain
LlamaIndex
Semantics
Vector Databases
Kubernetes
Cyber Security
Accessibility
Privacy
Artificial Intelligence
FedRAMP
FISMA
Public Sector
Management
Document Processing
Knowledge Management
Health Insurance
Network
Life Insurance
Insurance
Training
Budget

Summary

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.

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90882430
Position Id: 85cd1ff4660cd70fc95bd1b0aa2c3804
Posted 20 hours ago

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Senior AI/ML Engineer

Alexandria, Virginia

•

Today

Job Number: R0246859 AI/ML Engineer, Senior The Opportunity: As a Senior Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will design, build, and deploy advanced AI/ML solutions that modernize mission systems and accelerate decision-making across the national security ecosystem. You will contribute end-to-end, spanning data processing, model development, MLOps, and integration of scalable AI capabilities into operational environments. Your work will leverage deep experience

Full-time

USD 99,000.00 - 225,000.00 per year

AI/ML Engineer

McLean, Virginia

•

3d ago

AI/ML EngineerIntroductionWe are looking for an experienced AI/ML Engineer / Agentic AI Developer to join a team building next-generation AI-powered solutions. The ideal candidate will have hands-on experience developing AI/ML or Agentic AI solutions, combined with strong software development skills in Python and/or Java and extensive experience with AWS cloud services. The role will focus on designing and developing intelligent, AI-driven applications using modern agentic frameworks, GenAI tool

Easy Apply

Full-time

65 - 73

Enterprise AI/ML Architect #1867084

McLean, Virginia

•

Today

About NDi: Network Designs, Inc. (NDi) is a leading Federal contractor that specializes in designing, developing, and delivering information technology and network solutions for government customers. Founded in 1985, NDi's firmly defined core values have driven all aspects of the business, which have been paramount to our company's success and the establishment of an enjoyable workplace atmosphere. At NDi, we believe that our people are the cornerstone of our success, and we value collaboration

Full-time

Sr. AI/ML Engineer I (6822)

Reston, Virginia

•

5d ago

As a Sr. AI/ML Engineer I, you will design, build, deploy, and maintain production-ready AI and machine learning solutions, leveraging advanced ML techniques to support Retrieval-Augmented Generation (RAG) capabilities and drive mission-focused outcomes. In this role, you will serve as a trusted technical advisor, ensuring secure and effective system integration, while translating complex findings into actionable insights for diverse audiences across the organization. We know that you can't hav

Full-time

USD 170,000.00 - 200,000.00 per year

Search all similar jobs

More jobs at Swingtech in Washington, DC