Generative AI Engineer

Industrial Staffing Services Incorporated
Washington, DC, United States
20 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$54,080.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Linux Amazon DynamoDB Elasticsearch Python (Programming Language) Machine Learning MongoDB Cloud Services Azure Machine Learning
+18 more
Software Engineering Apache Solr SQL Databases Unstructured Data Enterprise Data Management Cloud Platform System Pytorch Large Language Models Multi-Agent Systems Prompt Engineering Generative AI Keras Git Information Technology Machine Learning Operations Virtual Agents GPT Automation Anywhere

Job description

The Generative AI Engineer will design, develop, and deploy production-grade AI solutions using Large Language Models, retrieval-augmented generation (RAG), agentic AI, and machine learning. This role focuses on building practical AI applications that integrate LLMs, enterprise data, cloud services, APIs, and automation to address business and mission needs. The ideal candidate has hands-on experience taking AI/ML solutions from experimentation through deployment and ongoing improvement. This position requires strong Python skills, practical LLM application development experience, and the ability to obtain a Federal Public Trust., * Design and develop Generative AI and LLM-based applications, including RAG, summarization, structured extraction, embeddings, and natural-language interfaces.

  • Build agentic AI workflows that support tool and function calling, planning, task decomposition, and multi-step execution.
  • Develop and optimize Python-based AI/ML applications and data workflows.
  • Integrate LLM platforms and models such as Claude, GPT, Gemini, Llama, Amazon Bedrock, Azure OpenAI, or similar technologies.
  • Design and implement effective prompt-engineering strategies.
  • Build and maintain RAG pipelines, embedding workflows, vector retrieval, and search capabilities.
  • Evaluate AI solutions for accuracy, grounding, hallucinations, citation quality, reliability, and production performance.
  • Develop test sets, evaluation methods, and monitoring approaches for AI-enabled applications.
  • Deploy, troubleshoot, and support AI solutions in distributed and cloud environments.
  • Integrate APIs, SQL, structured data, unstructured data, and enterprise data sources into AI applications.
  • Collaborate with technical and business teams to translate requirements into practical AI solutions.
  • Participate in the full AI/ML lifecycle, including requirements gathering, prototyping, development, deployment, monitoring, and continuous improvement.
  • Take ownership of assigned AI/ML solutions and clearly communicate technical approaches, implementation decisions, and individual contributions.

Requirements

  • 2+ years of hands-on AI/ML engineering experience, including demonstrable experience developing LLM or Generative AI applications.
  • Strong Python programming skills.
  • Working knowledge of SQL.
  • Hands-on experience building and deploying LLM or Generative AI solutions in real-world applications.
  • Strong understanding of RAG, embeddings, prompt engineering, structured outputs, and LLM APIs.
  • Experience developing AI applications beyond experimentation or basic use of generative AI tools.
  • Experience with agentic AI, tool/function calling, or multi-step AI workflows preferred.
  • Experience with agent frameworks such as LangGraph, CrewAI, AutoGen, Strands, or comparable technologies preferred.
  • Experience with AWS or Azure AI services, including Amazon Bedrock, SageMaker, Azure OpenAI, or Azure AI Foundry preferred.
  • Experience with MLOps, vector databases, Elasticsearch/Solr, PyTorch, Keras, Git, Azure DevOps, Linux, MongoDB, or DynamoDB is a plus.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work independently and take ownership of AI/ML development activities.
  • U.S. Citizenship required.
  • Must be able to obtain and maintain a Federal Public Trust.
  • Federal Public Trust is not required prior to starting.
  • Ability to work remotely with occasional or quarterly travel to Washington, DC.

Education

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical discipline preferred.
  • Equivalent relevant professional experience may be considered in lieu of a degree.

Benefits & conditions

We offer a comprehensive benefits package to our employees, which includes:

  • Medical Insurance
  • Vision & Dental Insurance
  • Life Insurance
  • Matching 401(k)
  • Commuter Benefits
  • Employee Discounts & Rewards
  • Payroll Payment Options

About the company

Equiliem believes in empowering success. It’s our job to cultivate relationships that connect people and employers in a way that is inclusive, intelligent, and allows both to thrive.

Across the U.S., leading companies in healthcare, government, engineering, manufacturing, professional services, and energy rely on us for their workforce solutions. Our recruiting and HR services include contract and direct hire staffing, Payrolling/EOR, Independent Contractor Compliance, and Managed Services.

For almost 30 years, we’ve helped shape our industry. Today, we continue to research, ask questions, and continuously enhance the candidate journey and client experience.

Apply for this position

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Prepare application

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