🌟 Job Title: Senior ML 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 for public sector environments in a secure, compliant, and cloud-native setting.

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 use cases.

• Develop intelligent agent-based applications using LangChain, incorporating 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, including GPT-4, embeddings, and function calling, for a variety of public sector applications.

• Build robust MLOps pipelines for model 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 requirements in alignment with Public Trust clearance standards.

• Conduct experimentation with prompt engineering, hyperparameter tuning, and inference optimization for maximum performance.

• Collaborate across cross-functional teams (engineering, DevOps, compliance) to deploy and maintain production-ready AI services.

• Document architecture, workflows, and decisions to support transparency, reproducibility, and auditability.

• Stay current with emerging AI/ML trends, particularly in LLMs, LangChain, OpenAI advancements, and AWS AI/ML services.

🛠️ Required Skills & 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 experience with GPT-style LLMs.

• Hands-on experience with LangChain to build advanced AI agents and prompt orchestration workflows.

• Proficiency in OpenAI APIs (ChatGPT, GPT-4, fine-tuning, embeddings, function calling).

• Demonstrated experience working with AWS services including SageMaker, Bedrock, Lambda, S3, Redshift, ECS, EKS.

• Proficient in Python and related libraries/frameworks: 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 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.

🎁 Benefits

• Competitive compensation package

• Comprehensive health, dental, and vision insurance

• 401(k) retirement plan with company match

• Paid time off (PTO) and federal holidays

• Life and disability insurance

• Wellness programs and employee assistance services

• Tuition reimbursement and training support

• Paid parental leave

• Computer purchase program

🚀 Apply Now

Join a team shaping the future of secure and responsible AI in the public sector. If you're driven by innovation, compliance, and cutting-edge technology, we want to hear from you.

📣 Not the Right Fit?

If this role isn't the right fit for you, we'd still love your help!
Know someone who would be a great match? Feel free to forward this opportunity - referrals are always welcome and greatly appreciated!

Synectics is an Equal Opportunity Employer and is committed to creating a diverse and inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, veteran status, or any other protected status under applicable law. We provide an environment that supports everyone's professional growth.