Gen AI / Machine Learning Engineer

AIToolboard; Washington (District of Columbia); On-site; USD 120,000 - 180,000; Full time

Job summary

AIToolboard in Washington, DC is seeking a Gen AI / Machine Learning Engineer (NLP Focus) to design, develop, and deploy AI-driven NLP solutions for enterprise apps. The role emphasizes scalable ML systems, LLM fine-tuning, and production pipelines.

You will collaborate with data engineers and software teams, implement RAG architectures, ensure responsible AI practices, and contribute to architecture standards. Requires 5+ years ML/AI, 3+ years NLP, and strong Python and cloud experience.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, ML, Data Science, or related field.
• 5+ years of experience in Machine Learning or AI engineering.
• 3+ years hands-on NLP experience.
• Strong Python programming skills.
• Experience with ML frameworks such as PyTorch, TensorFlow, Scikit-learn.
• Experience with Hugging Face Transformers, OpenAI LLM APIs, LangChain.
• Cloud experience (AWS, Azure, or GCP) and vector databases (Pinecone, FAISS, Weaviate).
• Knowledge of embeddings, tokenization, text classification, NER, sentiment, semantic search.
• REST APIs and microservices; CI/CD for ML deployment.

Responsibilities

• Design, develop, and deploy NLP and Generative AI solutions in production environments.
• Fine-tune and optimize Large Language Models (LLMs) for domain-specific use cases.
• Build and maintain ML pipelines for data ingestion, preprocessing, training, and inference.
• Develop prompt engineering strategies and evaluate model performance.
• Implement Retrieval-Augmented Generation (RAG) architectures.
• Collaborate with data engineers and software teams to integrate AI models into applications.
• Ensure responsible AI practices including bias mitigation, explainability, and governance.
• Maintain documentation and contribute to AI best practices and architecture standards.

Skills

NLP

ML engineering

Python programming

Prompt engineering

Education

Bachelor’s or Master’s degree in Computer Science / ML / Data Science

Tools

PyTorch

TensorFlow

Scikit-learn

Hugging Face Transformers

OpenAI LLM APIs

LangChain

AWS/Azure/GCP

Pinecone

FAISS

Weaviate

Job description

/Gen AI / Machine Learning Engineer# Gen AI / Machine Learning EngineerAptonetUSContractor## About the RoleGen AI / Machine Learning Engineer (NLP Focus) Location: Washington, DC (Onsite) Work Authorization: Must be authorized to work in the U.S. Clearance: Ability to obtain Public Trust or higher (if applicable)Role OverviewWe are seeking a highly skilled Generative AI / Machine Learning Engineer with strong expertise in Natural Language Processing (NLP) to design, develop, and deploy AI-driven solutions. This role will focus on building scalable ML systems, fine-tuning large language models (LLMs), and implementing NLP pipelines that power enterprise applications.The ideal candidate combines strong theoretical ML knowledge with hands-on engineering experience in modern AI frameworks and cloud-based ML infrastructure.Key Responsibilities• Design, develop, and deploy NLP and Generative AI solutions in production environments• Fine-tune and optimize Large Language Models (LLMs) for domain-specific use cases• Build and maintain ML pipelines for data ingestion, preprocessing, training, and inference• Develop prompt engineering strategies and evaluate model performance• Implement Retrieval-Augmented Generation (RAG) architectures• Work with structured and unstructured text datasets• Conduct model evaluation, error analysis, and performance tuning• Collaborate with data engineers and software teams to integrate AI models into applications• Ensure responsible AI practices including bias mitigation, explainability, and governance• Maintain documentation and contribute to AI best practices and architecture standardsRequired Qualifications• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related field• 5+ years of experience in Machine Learning or AI engineering• 3+ years of hands-on experience with NLP• Strong programming skills in Python• Experience with ML frameworks such as:• PyTorch• TensorFlow• Scikit-learn• Experience working with:• Hugging Face Transformers• OpenAI / LLM APIs• LangChain or similar orchestration frameworks• Experience building and deploying models in cloud environments (AWS, Azure, or GCP)• Knowledge of vector databases (e.g., Pinecone, FAISS, Weaviate)• Strong understanding of:• Embeddings• Tokenization• Text classification• Named Entity Recognition (NER)• Sentiment analysis• Semantic search• Experience with REST APIs and microservices architecture• Familiarity with CI/CD pipelines for ML deploymentPreferred Qualifications• Experience with:• RAG architectures• LLM fine-tuning (LoRA, PEFT, etc.)• Distributed training• MLOps tools (MLflow, Kubeflow, SageMaker)• Experience working in regulated or government environments• Exposure to AI governance and compliance frameworks• Experience handling sensitive or classified datasetsNice to Have• Knowledge of reinforcement learning from human feedback (RLHF)• Experience building chatbots, copilots, or AI assistants• Experience with knowledge graphs• Familiarity with Kubernetes and containerization### Apply for this PositionFill out the form below to apply for this roleLocationUS