AI/ML Engineer, Mid-Level

Swingtech

. Develop AI/ML-enabled applications, APIs, data-processing components, model integration layers, RAG pipelines, retrieval services, workflow automations, and technical prototypes .

Posted 9/19/2026full-timeWashington, DC • District of Columbia • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing AI/ML-enabled applications and APIs, with a strong focus on model integration, data processing, and workflow automation. Proficient in Python and SQL, with experience in automated testing and cloud environments.

Highest-signal resume keywords

AI/ML Application DevelopmentPython ProgrammingSQL Database ManagementModel Evaluation and Fine-TuningAgile Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML DevelopmentData ProcessingModel IntegrationAutomated TestingVersion ControlPrompt EngineeringDocument IngestionNLPRAGData Pipelines

Soft Skills

Effective CommunicationTeam CollaborationProblem Solving

Tools & Technologies

AWSAzureGoogle CloudGitREST APIs

Industry Keywords

Responsible AIDevSecOpsMLOpsAgile CeremoniesData Science

Tech Stack

Tools & technologies

AWSAzureCloudPythonSQL

About the role

Key responsibilities & impact

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 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 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 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
Collaborate with Senior AI/ML Engineers, data engineers, developers, business analysts, project managers, and DOL stakeholders to deliver secure, measurable, and maintainable AI capabilities

Requirements

What you’ll need

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: 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
US citizenship or Green Card
Local to the DMV area

Benefits

Comp & perks

15 PTO days
11 paid holidays
Medical Insurance with 3 options, including HSA with $600 Employer Contribution
Dental Insurance with no age limit orthodonture
Vision Insurance through EyeMed with 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
401(k) with enrollment from day one
4% deferral by company
$1,500 annual training budget
$1,500 referral bonus
Eligibility for annual merit and discretionary bonus
Flexible work arrangements