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# AI Engineer

- **Company:** Indotronix Avani Group
- **Location:** Oak Ridge North, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, JSON, Python (Programming Language), Software Deployment, Enterprise Search, LangChain, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, HybridCloud, Agentic-AI, CrewAI, Api Design, Restful APIs, Semantic Kernel, Data Pipelines, Databricks
- **Published:** October 5, 2026
- **Apply:** https://candidateportal.ceipal.com/job-details/-lCg4BvefgilSSzXY8Pu0RsPH2K7yK3vZzqkEsPcpaU

## About the Role

Bachelor's degree in a STEM field with 5+ years in software or related domains, including 2+ years in AI/ML, LLM, and agentic systems development.

 - Proficiency in Python, REST APIs, prompt engineering, RAG pipelines, and agent orchestration.
 - Experience with LangGraph, LangChain, CrewAI, Semantic Kernel, or similar frameworks for stateful, tool-driven execution.
 - Hands-on experience deploying and operating LLM/agent workflows in production, with monitoring and evaluation.
 - Familiarity with Microsoft Foundry (including Azure AI Search), Databricks, or AWS equivalents in enterprise settings.
 - Strong skills in data pipeline development, vector databases, and API development.
 - Self-motivated learner with a practical, business-focused mindset.

Preferred Skills

 - Experience with hybrid or on-prem cloud environments.
 - Advanced knowledge of emerging GenAI models and frameworks.
 - Demonstrated ability to scale AI-native workflows across large organizations., Ready to lead the next wave of enterprise AI transformation? Submit your resume and a brief cover letter highlighting your agentic AI experience and enterprise solution delivery. Candidates must be authorized to work in the US without sponsorship., Requirements:Agentic AIAgentic Orchestration (LangChain LangGraph CrewAI Semantic Kernel etc)Microsoft Foundry (including Azure AI Search) or AWS equivalentsPythonRAGData pipeline developmentVector DatabasesAPI development

## Description

Join our innovative team as a Senior AI Engineer focused on building and deploying next-generation agentic AI systems from the ground up. This high-ownership, hands-on role empowers you to design, prototype, and deliver AI-native workflows that transform enterprise operations. You will collaborate with business and technical experts, taking ideas from concept to production in a dynamic, hybrid work environment. If you're passionate about AI, rapid innovation, and making a tangible impact, this is your opportunity to lead the future of intelligent automation.

Responsibilities

 - Architect, build, and deploy multi-step agentic AI systems that reimagine and replace business workflows.
 - Design agent pipelines leveraging tool-calling, memory, retrieval-augmented generation (RAG), and orchestration patterns tailored to workflow complexity and risk.
 - Implement human-in-the-loop and escalation systems for high-risk or low-confidence AI outcomes.
 - Integrate agentic systems with enterprise data sources, APIs, and third-party tools while meeting data governance and security requirements.
 - Ensure data grounding, output quality, system reliability, and graceful failure in production environments.
 - Select and manage GenAI frameworks, LLM integrations, prompt engineering, and model versioning.
 - Own the delivery cycle from rapid prototyping to pilot and scalable production deployment.
 - Collaborate closely with process owners, domain experts, and governance teams to deliver trusted, usable solutions.