Job description

Our client, a multinational telecommunications technology company, has an urgent need for an AI Engineer to design, develop, and deploy production-grade Generative AI and Agentic AI solutions. Responsibilities: - Build and maintain LLM evaluation frameworks, including golden datasets, regression testing, scoring, quality thresholds, and trend tracking. - Implement observability for LLM pipelines, including logging, metrics, dashboards, alerting, latency monitoring, error tracking, and token/cost analysis. - Design and integrate AI agent tool-calling capabilities, including function calling, tool interfaces, schemas, guardrails, and structured outputs. - Develop and support scalable AI services and data pipelines while independently debugging and resolving complex technical issues. If you would like to learn more, please reach out to Elite Technical. Required Skills Required Skills: - 5+ years of hands-on experience in Software Engineering, Data Engineering, and GenAI. - Strong experience with LangGraph, LangChain, Agentic AI, and production deployment of LLM solutions. - Proficiency in Python, PySpark, Databricks, Delta Lake, NoSQL, and Azure Cloud. - API development experience; FastAPI preferred. - Strong troubleshooting, problem-solving, and creative thinking skills, particularly in designing innovative solutions within the rapidly evolving Agentic AI space. - Need a creative approach for ability to solve problems with the agentic world.

Requirements

Must-haves

Our client, a multinational telecommunications technology company, has an urgent need for an AI Engineer to design, develop, and deploy production-grade Generative AI and Agentic AI solutions.
Build and maintain LLM evaluation frameworks, including golden datasets, regression testing, scoring, quality thresholds, and trend tracking.
Implement observability for LLM pipelines, including logging, metrics, dashboards, alerting, latency monitoring, error tracking, and token/cost analysis.
Design and integrate AI agent tool-calling capabilities, including function calling, tool interfaces, schemas, guardrails, and structured outputs.
Develop and support scalable AI services and data pipelines while independently debugging and resolving complex technical issues.
If you would like to learn more, please reach out to Elite Technical.
5+ years of hands-on experience in Software Engineering, Data Engineering, and GenAI.
Strong experience with LangGraph, LangChain, Agentic AI, and production deployment of LLM solutions.
Proficiency in Python, PySpark, Databricks, Delta Lake, NoSQL, and Azure Cloud.
Strong troubleshooting, problem-solving, and creative thinking skills, particularly in designing innovative solutions within the rapidly evolving Agentic AI space.
Need a creative approach for ability to solve problems with the agentic world.

Nice-to-haves

API development experience; FastAPI preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillmpythonazureapi

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