GenAI / Agentic Engineer

Shrive Technologies LLC; Town of Texas (WI); On-site; USD 120,000 - 150,000; Full time

Job summary

Shrive Technologies LLC is seeking GenAI / Agentic Engineers at junior and senior levels to design, build, and deploy AI applications leveraging LLMs and agentic frameworks. You’ll handle all SDLC phases and collaborate with stakeholders to deliver reliable, scalable AI solutions.

Senior engineers will lead design and customer interactions; junior engineers will focus on model training, fine-tuning, and data preparation. Strong Azure AI Foundry / Autogen experience is preferred.

Qualifications

• Hands-on experience with GenAI tools and agentic frameworks.
• Strong understanding of ML fundamentals and data handling.
• Experience across the full SDLC and collaborating with stakeholders.

Responsibilities

• Develop AI solutions using frameworks such as Autogen, Semantic Kernel, Copilot Studio.
• Implement data science / ML algorithms defined by Solution Architects.
• Follow all SDLC phases: requirements, design, development, testing, deployment, maintenance.

Skills

GenAI frameworks

Azure AI Foundry

Autogen

Semantic Kernel

Python

ML fundamentals

OpenAI APIs

Job description

Job Summary

We are 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

• Core
• 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.
• Collaborate with customers/stakeholders on project status and deliverables.

Key Responsibilities

We are 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

• Core
• 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.
• Collaborate with customers/stakeholders on project status and deliverables.

Skill Requirements

Required Skills & Qualifications

Core Technical Skills (All Levels)

• 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.

Other Requirements

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