Machine Learning Engineer

Artech

Request ID: 97881-1
Title: Machine Learning Engineer
Locations: Sunrise, FL
Duration: 06+ Months with Possible Extension.
Pay Range: $45-$47/Hour on W2/ C2C (All inclusive)

We are seeking an experienced Senior Generative AI / Machine Learning Engineer to design, develop, and deploy production-ready Generative AI solutions powered by Large Language Models (LLMs). The ideal candidate will have strong hands-on experience with Python, LLMs, LangChain, LangGraph, agentic AI workflows, LLM memory, retrieval pipelines, and machine learning engineering .

The candidate will work across the complete AI/ML lifecycle, including model evaluation and selection, solution design, development, deployment, monitoring, and optimization of scalable GenAI applications.

Key Responsibilities

Design, develop, and productionize Generative AI applications using open-source and proprietary LLMs.
Evaluate and integrate LLMs such as OpenAI, Anthropic, Llama, and Mistral based on business and technical requirements.
Design and implement agentic AI workflows using LangChain and LangGraph .
Develop multi-step AI orchestration workflows for complex business use cases.
Implement short-term and long-term memory strategies for LLM-based applications.
Design and manage state management and context-handling mechanisms for agentic systems.
Optimize prompts, retrieval pipelines, context management, and orchestration logic.
Develop and integrate RAG/retrieval-based solutions for enterprise GenAI applications.
Develop machine learning models and production-ready AI/ML solutions where required.
Build scalable and reliable AI services using Python and ML engineering best practices .
Deploy, monitor, troubleshoot, and maintain AI/ML and GenAI systems in production environments.
Collaborate with product, platform, data science, engineering, and business teams to deliver scalable AI solutions.
Establish appropriate evaluation strategies to measure model quality, accuracy, performance, and reliability.
Continuously research and evaluate emerging LLM, GenAI, and agentic AI technologies.

Required Skills

8-9 years of experience in Machine Learning, AI Engineering, Data Science, or related fields.
Strong hands-on experience developing Generative AI and LLM-based applications .
Strong experience with LLMs including OpenAI, Anthropic, Llama, Mistral , or comparable models.
Hands-on experience with LangChain and/or LangGraph .
Strong understanding of agentic AI architectures and workflows .
Solid understanding of LLM memory architecture, state management, and context handling .
Strong proficiency in Python .
Experience with prompt engineering and optimization.
Experience designing and optimizing retrieval/RAG pipelines .
Strong understanding of machine learning concepts and ML engineering best practices.
Experience deploying and supporting production-grade AI/ML systems .
Strong analytical, troubleshooting, and problem-solving skills.

Nice-to-Have Skills

Experience with Google Cloud Platform (GCP) .
Hands-on experience with Vertex AI, BigQuery, and Google Cloud Storage (GCS) .
Experience building and deploying ML models.
Experience with MLOps and production model lifecycle management.
Experience with model evaluation, monitoring, and observability.
Experience with enterprise-scale GenAI implementations.
Experience working with open-source LLM frameworks and models.

Roles & Responsibilities

Lead end-to-end development of GenAI solutions from model selection through production deployment .
Build agentic applications using LangChain/LangGraph .
Implement memory and state management capabilities for LLM applications.
Develop and optimize prompts, retrieval mechanisms, and AI orchestration workflows.
Build ML models and integrate them into production AI solutions.
Deploy and maintain scalable AI/ML applications.
Monitor model and application performance and troubleshoot production issues.
Collaborate with product and platform teams to translate business requirements into AI solutions.
Evaluate new LLMs and GenAI technologies and recommend appropriate solutions.

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Vacancy posted 4 days ago

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