Galent · 17 hours ago
Gen AI / Agentic Engineer
Galent is seeking GenAI / Agentic Engineers to design, build, and deploy AI applications leveraging LLMs and agentic frameworks. The role involves handling all phases of the SDLC and collaborating with stakeholders to create reliable, scalable AI solutions.
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
Collaborate with customers/stakeholders on project status and deliverables
Qualification
Required
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
Preferred
Experience with AutoGen / Lang Graph 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
Company
Galent
Galent is an AI-native digital engineering firm at the forefront of the AI revolution, dedicated to delivering unified, enterprise-ready AI solutions that transform businesses and industries.
Funding
Current Stage
Late StageCompany data provided by crunchbase