TC
GenAI / Agentic Engineers
TechDigital Corporation
Location not stated
Remote
Staff / Principal
7 months ago
- Machine Learning
- AI
- AutoGen
- Semantic Kernel
- Copilot Studio
- Azure AI
- Foundry
- Azure
- Python
- NumPy
- Pandas
- Matplotlib
- scikit-learn
- Azure OpenAI
- Natural Language Processing
- MCP
- Hugging Face
- OpenAI
- LangGraph
- RAG
- MLOps
7 months ago
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.
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.
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.
GenAI / Agentic Engineers · TechDigital Corporation