Gen AI Engineer - Remote / Telecommute

Job Title: Gen AI Engineer - Remote / Telecommute

Job Location: Redmond, WA

Job Type: Contract

Job Overview:

Pay Range: $50hr - $55hr

Requirement/Must Have:

• Hands-on experience with Azure AI Foundry and Azure PaaS services.
• Strong proficiency in Python for scripting and data manipulation.
• Experience with data science and machine learning libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn.
• Hands-on experience with GenAI and agentic frameworks such as AutoGen, Semantic Kernel, Azure AI Foundry, and Azure OpenAI.
• Strong understanding of machine learning fundamentals, including supervised and unsupervised learning, neural networks, and natural language processing.
• Familiarity with GenAI tools such as MCP Server, Hugging Face Transformers, OpenAI APIs, and diffusion models for image generation.
• Ability to work across all SDLC phases with clean coding practices, testing, and documentation.

Experience:

• Experience designing, building, and deploying AI applications using LLMs and agentic frameworks.
• Experience implementing machine learning and data science algorithms defined by Solution Architects.
• Experience working across the full software development lifecycle, including requirements gathering, design, development, testing, deployment, and maintenance.
• Experience delivering production-ready AI applications.
• Experience in model training, fine-tuning, and data preparation.
• Senior-level experience leading design discussions and customer interactions is preferred.

Responsibilities:

• Develop AI solutions using frameworks such as AutoGen, Semantic Kernel, and Copilot Studio.
• Implement data science and machine learning algorithms defined by Solution Architects.
• Participate in all SDLC phases, including requirements gathering, design, development, testing, deployment, and maintenance.
• Design, build, and deploy production-ready GenAI and agentic applications.
• Train and fine-tune models while maintaining reproducible experiments.
• Create clear documentation, maintain test coverage, and support deployment pipelines.
• Collaborate with stakeholders to create reliable and scalable AI solutions.
• Senior engineers will lead architecture, design decisions, and customer interactions.
• Junior engineers will focus on model training, fine-tuning, and data preparation.

Should Have:

• Experience with AutoGen and LangGraph multi-agent patterns and orchestration.
• Knowledge of RAG pipelines, vector databases, prompt optimization, and safety or guardrails.
• Exposure to MLOps, including model versioning, deployment, and monitoring.
• Microsoft Azure cloud certifications are a plus.

Skills:

• Python.
• Azure AI Foundry.
• Azure OpenAI.
• Microsoft Azure PaaS.
• AutoGen.
• Semantic Kernel.
• Copilot Studio.
• LangGraph.
• NumPy.
• Pandas.
• Matplotlib.
• Scikit-learn.
• Machine Learning.
• Natural Language Processing (NLP).
• Hugging Face Transformers.
• OpenAI APIs.
• MCP Server.
• Diffusion Models.
• RAG Pipelines.
• Vector Databases.
• Prompt Optimization.
• Safety and Guardrails.
• MLOps.
• SDLC.

Qualification and Education:

• Bachelor s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field is preferred.
• Microsoft Azure cloud certifications are a plus.