1158 Senior AI Developer
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What you'll do
- Design and develop AI-powered applications using Large Language Models (LLMs).
- Build Retrieval-Augmented Generation (RAG) solutions using embeddings, vector databases, and enterprise knowledge sources.
- Develop Agentic AI applications with autonomous planning, reasoning, and tool usage.
- Design and implement multi-agent orchestration frameworks where multiple AI agents collaborate to execute complex workflows.
- Deploy and manage AI solutions using Azure AI Foundry, Azure OpenAI, Azure AI Search, and Azure App Service.
- Build APIs and backend services using Python.
- Collaborate with architects, product teams, and business stakeholders to deliver production-ready AI solutions.
- Participate in architecture discussions and contribute to AI best practices and technical standards.
What they're looking for
- Strong proficiency in Python.
- Hands-on experience with LLMs and Generative AI solutions.
- Experience implementing Retrieval-Augmented Generation (RAG) architectures.
- Knowledge of Agentic AI concepts and Multi-Agent Systems.
- Experience with Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure App Service, Azure Functions, Azure Storage, and Azure Key Vault.
- Practical experience with LangChain, LangGraph, Semantic Kernel, AutoGen, and/or CrewAI.
- Experience with vector databases and embedding-based search solutions.
- Knowledge of CI/CD pipelines, Docker, GitHub Actions, and Azure DevOps.
- Experience building REST APIs and backend services using Python.
- US citizenship is required.
- English level B2+.
Nice to have
- Experience working in enterprise AI projects.
- Knowledge of prompt engineering and evaluation frameworks.
- Experience with monitoring, observability, and AI
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is looking for a AI Developer (LLM / RAG / Agentic AI) to join its innovative team.
Candidate Profile: Senior AI Developer with 8+ years of experience. Strong Python expertise and hands-on experience with LLMs, Generative AI, RAG architectures, Agentic AI, and Multi-Agent Systems. Experience with Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure App Service, Azure Functions, LangChain, LangGraph, Semantic Kernel, AutoGen, and CrewAI. Knowledge of CI/CD, Docker, GitHub Actions, and Azure DevOps. US citizenship is required. English level B2+.
Core Skills: Python, LLMs, Generative AI, RAG, Vector Databases, Agentic AI, Multi-Agent Systems, Azure AI Stack, LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, CI/CD, Docker, GitHub Actions, Azure DevOps.
Project Responsibilities:
• Design and develop AI-powered applications using Large Language Models (LLMs).
• Build Retrieval-Augmented Generation (RAG) solutions using embeddings, vector databases, and enterprise knowledge sources.
• Develop Agentic AI applications with autonomous planning, reasoning, and tool usage.
• Design and implement multi-agent orchestration frameworks where multiple AI agents collaborate to execute complex workflows.
• Deploy and manage AI solutions using Azure AI Foundry, Azure OpenAI, Azure AI Search, and Azure App Service.
• Build APIs and backend services using Python.
• Collaborate with architects, product teams, and business stakeholders to deliver production-ready AI solutions.
• Participate in architecture discussions and contribute to AI best practices and technical standards.
Duration: 6 months+ and more
Candidate's Portrait:
Experience: 8+ years
US citizenship is mandatory.
Must-haves:
• Strong proficiency in Python.
• Hands-on experience with LLMs and Generative AI solutions.
• Experience implementing Retrieval-Augmented Generation (RAG) architectures.
• Knowledge of Agentic AI concepts and Multi-Agent Systems.
• Experience with Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure App Service, Azure Functions, Azure Storage, and Azure Key Vault.
• Practical experience with LangChain, LangGraph, Semantic Kernel, AutoGen, and/or CrewAI.
• Experience with vector databases and embedding-based search solutions.
• Knowledge of CI/CD pipelines, Docker, GitHub Actions, and Azure DevOps.
• Experience building REST APIs and backend services using Python.
Nice to Have:
• Experience working in enterprise AI projects.
• Knowledge of prompt engineering and evaluation frameworks.
• Experience with monitoring, observability, and AI
Company
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