1158 Senior AI Developer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 23h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 1d ago
The date the source published, not the day we noticed it (2026-09-14). Last seen at its source 3h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $160.9k–210k/yr
Middle 50% of 740 listings that do state pay — Engineering · Senior · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 23h ago · last seen 3h ago
The listing
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