Gen AI Engineer

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.

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.