AI/ML Engineer (Mid)Position SummaryThe 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
