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

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