GenAI ML Engineer: LLMs & LangChain in Production

Role:

Machine Learning Engineer

Location:

Sunrise, FL (Onsite)

Duration:

Long Term Contract

“We are seeking a Machine Learning Engineer to design, build, and deploy Generative AI solutions powered by Large Language Models (LLMs). In this role, you will work on end-to-end GenAI use cases, from model selection to production-ready systems.

Key Responsibilities Develop and product ionize GenAI applications using LLMs (open-source and closed-source). Design agentic workflows using Lang Chain and Lang Graph.
· Implement short-term and long-term memory strategies for LLM-based systems.
· Optimize prompts, retrieval pipelines, and orchestration logic.

· Collaborate with product and platform teams to deliver scalable AI solutions.

Required Qualifications

• Strong experience with LLMs (e.g., OpenAI, Anthropic, Llama, Mistral)

• Hands-on experience with Lang Chain and/or Lang Graph.

• Solid understanding of LLM memory architecture and state management.

• Proficiency in Python and ML engineering best practices.

Nice to Have

• Experience with GCP services (e.g., Vertex AI, Big Query, GCS).

• Experience deploying ML/GenAI systems in production environments.

• data scientist

• Can do ML model”

· Design, develop, and deploy GenAI applications using LLMs.

· Build and implement agentic workflows using Lang Chain/Lang Graph.

· Develop ML models and production-ready AI solutions.

· Implement and manage LLM memory and state management strategies.

· Optimize prompts, retrieval pipelines, and orchestration workflows.

· Collaborate with product and platform teams to deliver scalable AI solutions.

· Deploy, monitor, and maintain AI/ML systems in production environments.

· Evaluate and integrate open-source and proprietary LLMs

Generative AI & LLMs Lang Chain / Lang Graph ML model

Skills:

Digital :
Machine Learning