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Gen AI / Agentic Engineer jobs in United States
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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.
Computer Software
Hiring Manager
Aravin Kumar
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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

Azure AI FoundryPythonGenAI frameworksMachine learning fundamentalsGenAI toolsMLOpsCloud certifications

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

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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 Stage
Company data provided by crunchbase