[Hiring] SENIOR GenAI ENGINEER @TALENT MATCHMAKERS

Role Description

We are looking for a Senior GenAI / LLM Developer to join our partner's team & help build a production-grade AI agent platform designed to integrate with enterprise engineering tools and processes in the energy industry.

The project focuses on developing a LLM-powered multi-agent infrastructure that can orchestrate tasks, interact with multiple engineering platforms, and support complex technical workflows used by engineers.

• Work on a large-scale enterprise AI platform used in the energy industry.
• Build LLM-powered agent systems integrated with engineering platforms.
• Opportunity to work on complex integrations across multiple enterprise tools and systems.
• Collaborate in a multidisciplinary AI, infrastructure, and platform engineering team.
• Build production GenAI systems with real operational impact.
• High ownership and strong technical autonomy.
• Opportunity to grow into AI architecture or platform leadership roles.

Qualifications

• Strong Python Skills (Mandatory): Solid experience building backend systems with Python (FastAPI, async programming, API development).
• LLM & Agentic Systems Experience: Hands-on experience building LLM-powered applications and agent workflows using technologies such as LangChain, LangGraph, OpenAI / Azure OpenAI APIs, prompt engineering, tool calling / agent orchestration.
• AI Application Integration: Experience integrating LLM-based services with external platforms, APIs, or enterprise systems.
• Backend Architecture & APIs: Strong understanding of REST APIs and system integration patterns.
• Distributed System Thinking: Ability to design systems that coordinate multiple services, agents, or tools within larger application ecosystems.
• Containerization: Experience with Docker.
• Clean Code & Production Mindset: Ability to write maintainable code with testing discipline and a production mindset.
• Multi-Language Openness: Willingness to collaborate in environments where other languages (such as Go) may be used.
• Language Skills: Fluent in English.

Requirements

• Experience with Go (Nice to have).
• Experience with LlamaIndex, Haystack, HuggingFace Transformers, LangSmith (tracing & evaluation) (Nice to have).
• Experience working with multi-agent architectures (Nice to have).
• Familiarity with vector databases or semantic retrieval systems (Nice to have).
• Basic knowledge of Kubernetes (Nice to have).
• Experience integrating with complex enterprise platforms or engineering tools (Nice to have).
• Experience building AI-driven internal platforms or developer tools (Nice to have).