Remote |Gen AI Engineer| Only USC | Ex Microsoft consultant |Exp: 10 yrs min

[IT Recruiter]

Role: Gen AI Engineer

Location: Remote

Interview Type: In- person at Redmond, WA

Contract

Note: EX MICROSOFT + PERSON WHO CAN GO FOR CUSTOMER INPERSON INTERVIEW

ONLY USC

JD:

looking for GenAI / Agentic Engineers across junior and senior levels to design, build, and deploy AI applications leveraging LLMs and agentic frameworks. You’ll handle all phases of the SDLC and work with stakeholders to create reliable, scalable AI solutions. Senior engineers will lead design and customer interactions; junior engineers will focus on model training, fine-tuning, and data preparation.

Responsibilities

•                           Develop AI solutions using frameworks such as Microsoft Agent Framework – Autogen, Semantic Kernel, Copilot Studio

•                           Implement data science / machine learning algorithms defined by Solution Architects.

•                           Follow all SDLC phases: requirements, design, development, testing, deployment, and maintenance.

Required Skills

•                           Hands-on working experience on Azure AI Foundry and Azure services/PAAS.

•                           Python (scripting, data manipulation); familiarity with NumPy, Pandas, Matplotlib, Scikit Learn etc..

•                           GenAI / Agent frameworks: Autogen, Semantic Kernel, Azure AI Foundry, Azure OpenAI,

•                           Understanding of machine learning fundamentals: supervised vs. unsupervised learning, neural networks, NLP.

•                           Familiarity with GenAI tools: MCP Server, Hugging Face Transformers, OpenAI APIs, and diffusion models (for image generation).

•                           Ability to work across the SDLC with clean code, testing, and documentation.

 Nice-to-Have

•                           Experience with AutoGen / LangGraph multi-agent patterns and orchestration.

•                           Knowledge of RAG pipelines, vector databases, prompt optimization, and safety/guardrails.

•                           Exposure to MLOps (model versioning, deployment, monitoring).

•                           Cloud certifications  (Microsoft Azure) is a plus.

What You’ll Deliver

•                           Production-ready GenAI/Agentic applications.

•                           Fine-tuned models and reproducible experiments.

•                           Clear documentation, test coverage, and deployment pipelines.

•                           Regular updates on project status and deliverables to stakeholders.

Udit Kumar| Talent Acquisition Specialist
Amaze Systems Inc

USA: 8951 Cypress Waters Blvd, Suite 160, Dallas, TX 75019

Canada: 55 York Street, Suite 401, Toronto, ON M5J 1R7

E: udi...@amaze-systems.com| www.amaze-systems.com/

USA | Canada | UK | India

 

Amaze Systems is an Equal Opportunity Employer (EOE), and does not discriminate based on age, gender, religion, disability, marital status, race and also adheres to laws relating to non-discrimination on the basis of national origin and citizenship status.