Job Title: Senior Machine Learning Engineer – LLMs, AWS, OpenAI & LangChain
Clearance Requirement: Eligible for Public Trust Clearance
Location: Remote (occasional on-site support as needed)
Position Type: Full-Time

About the Role
We are seeking a Senior Machine Learning Engineer with a passion for building cutting-edge solutions using Large Language Models (LLMs), LangChain, and OpenAI technologies. This role is ideal for an AI expert with at least 8 years of experience, ready to take ownership of advanced AI workflows in a secure, compliant, and cloud-native environment supporting public sector missions.

You will lead the development of intelligent, scalable, and ethically responsible machine learning systems deployed across AWS cloud infrastructure to support mission-critical federal use cases.

Key Responsibilities

• Design, fine-tune, and deploy LLMs (e.g., GPT-4, LLaMA, T5) for generative AI, summarization, classification, and conversational applications.
• Develop intelligent agent-based applications using LangChain, including prompt templates, tools, chains, memory modules, and RAG pipelines.
• Architect, develop, and deploy AI/ML systems within AWS, including SageMaker, Lambda, Bedrock, Redshift, S3, and ECS/EKS.
• Integrate and optimize OpenAI APIs (GPT-4, embeddings, function calling) for public sector use cases.
• Build robust MLOps pipelines for training, evaluation, deployment, and monitoring using MLflow, SageMaker Pipelines, and Step Functions.
• Implement and manage vector databases (e.g., FAISS, Pinecone, OpenSearch) for embedding search and retrieval.
• Ensure all AI/ML implementations meet federal security, privacy, and compliance standards.
• Conduct experimentation with prompt engineering, hyperparameter tuning, and inference optimization.
• Collaborate with engineering, DevOps, and compliance teams to deploy and maintain production-ready AI services.
• Document architecture, workflows, and decisions to support transparency and auditability.
• Stay current with emerging trends in LLMs, LangChain, OpenAI, and AWS AI/ML services.

Required Skills and Experience

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field.
• Minimum of 8 years of professional experience in machine learning and AI system development.
• Strong background in NLP and transformer-based architectures, including GPT-style LLMs.
• Hands-on experience with LangChain for building AI agents and prompt orchestration.
• Proficiency in OpenAI APIs (ChatGPT, GPT-4, fine-tuning, embeddings, function calling).
• Demonstrated experience with AWS services including SageMaker, Bedrock, Lambda, S3, Redshift, ECS, and EKS.
• Proficient in Python and libraries/frameworks such as Hugging Face Transformers, PyTorch, TensorFlow, FastAPI, and scikit-learn.
• Strong understanding of MLOps principles, including version control, CI/CD, containerization, and pipeline automation.
• Must be eligible to obtain and retain a Public Trust clearance.

Preferred Qualifications

• Experience supporting federal agencies or public sector AI initiatives.
• Expertise in retrieval-augmented generation (RAG), prompt engineering, and embedding-based search.
• Familiarity with LangSmith, OpenAI fine-tuning, and multi-agent systems.
• Experience deploying scalable containerized services using Docker and Kubernetes.
• Knowledge of ethical AI, bias mitigation, and AI governance best practices.