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).