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

swingtech-careers

Washington (District of Columbia)

On-site

USD 120,000 - 160,000

Full time

7 days ago
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Benefits offered by this job

PTO 15 days
Paid holidays 11
Medical insurance options
Dental insurance
Vision insurance
Disability insurance
Life insurance
401k with company match
Training budget
Referral bonus
Flexible work arrangements

Job summary

Swingtech in Washington, DC is hiring a Mid AI/ML Engineer to contribute hands-on across discovery, development, testing, deployment, and sustainment of AI-enabled solutions. You will collaborate with engineers, data scientists, analysts, and stakeholders to deliver secure, measurable AI capabilities.

The role requires at least 3 years in AI/ML, strong Python/SQL skills, experience with REST APIs, cloud platforms, and a pragmatic, security-minded approach to software delivery.

Qualifications

  • Bachelor’s degree in a technical field.
  • At least 3 years in AI/ML implementation, NLP or AI-enabled software.
  • Experience with Python, SQL, REST APIs, Git and testing.
  • Experience with ML frameworks, NLP, embeddings, or vector search.
  • Cloud familiarity (AWS, Azure, GCP) or equivalent.
  • Ability to work in an agile, multidisciplinary team and communicate clearly.

Responsibilities

  • Develop AI/ML-enabled applications, APIs, data-processing components, and RAG pipelines.
  • Support model development, fine-tuning, evaluation, and production monitoring.
  • Build RAG capabilities with document ingestion, embeddings, and vector indexing.
  • Implement automated tests, CI/CD, and secure software practices.
  • Prepare technical docs, runbooks, and release notes.
  • Participate in agile ceremonies and collaboration with stakeholders.

Skills

Python
SQL
REST APIs
Git
Automated testing

Education

Bachelor’s degree in a technical field

Tools

LangChain
LangGraph
LlamaIndex
Semantic Kernel
Hugging Face
MLflow
Kubernetes

Job 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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