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

Swingtech

Washington (District of Columbia)

Hybrid

USD 120,000 - 160,000

Full time

14 days+

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Benefits offered by this job

PTO 15 days

Holidays 11

Medical Insurance

Dental Insurance

Vision Insurance

Disability insurance

Life & AD&D

Supplemental Life

Critical Care Insurance

Pet Insurance

Employee Assistance Program

401k plan 4% match

Training budget

Referral bonus

Annual bonus potential

Job summary

Swingtech is seeking a Mid-Level AI/ML Engineer to design and implement AI-enabled solutions within a hybrid DC-area team. The role collaborates with data engineers, developers, and stakeholders to deliver secure and measurable AI capabilities for internal clients.

You will contribute across discovery, development, testing, deployment, and sustainment while adhering to secure software practices. You will work on Python-based projects, CI/CD, and MLOps initiatives, with a focus on reliable model

Qualifications

Bachelor’s degree in computer science or a related technical field.
3+ years of relevant AI/ML implementation experience including NLP or AI-enabled software development.
Experience with Python, SQL, REST APIs, Git, automated testing, and standard software practices.
Experience with ML frameworks, LLM APIs, RAG, embeddings, vector search, NLP, or document processing.
Familiarity with AWS/Azure/GCP or other cloud environments.
Ability to work in a multidisciplinary agile team and communicate technical concepts clearly.

Responsibilities

Develop AI/ML-enabled applications, APIs, data pipelines, and RAG workflows.
Support model development, fine-tuning, evaluation, and production monitoring.
Build RAG capabilities with document ingestion, embeddings, vector indexing, and retrieval.
Implement secure, auditable workflows with logging, approvals, and safe failure handling.
Write robust Python/SQL code following secure software practices.
Create automated unit/integration/data-quality/model-evaluation tests.
Contribute to CI/CD, DevSecOps, MLOps, and code-review processes.
Prepare runbooks, release notes, and model documentation.

Skills

Python

SQL

REST APIs

Git

Automated testing

Cloud familiarity

Communication

Education

Bachelor’s degree in CS or related field

Tools

LangChain

LangGraph

LlamaIndex

Hugging Face

Kubernetes

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