Talent Matchmakers

Senior GenAI Engineer

Talent Matchmakers

full-time

Posted on:

Location Type: Remote

Location: Romania

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About the role

  • Help build a production-grade AI agent platform designed to integrate with enterprise engineering tools and processes in the energy industry
  • Design and implement AI agents powered by LLMs that interact with engineering tools, APIs, and internal systems
  • Build multi-agent workflows that coordinate tasks across different systems, including prompt orchestration, tool calling, task routing, and agent collaboration
  • Develop integrations with multiple engineering platforms, APIs, and services to enable agents to execute workflows across the engineering ecosystem
  • Build backend services using Python (e.g., FastAPI) that support agent execution, orchestration logic, and system integration
  • Design scalable LLM application components including prompt pipelines, agent control logic, response validation, and interaction flows
  • Enable agents to retrieve and process information from structured and unstructured data sources across enterprise systems
  • Develop APIs and connectors allowing agents to interact with internal tools, services, and engineering platforms
  • Package services using Docker and support deployment pipelines within a cloud-based infrastructure
  • Work closely with infrastructure engineers, frontend developers, cloud architects, DevOps engineers, and product stakeholders to iteratively improve the platform.

Requirements

  • 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.
Benefits
  • Opportunity to grow into AI architecture or platform leadership roles
  • Collaboration available through CIM or B2B (SRL)
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonFastAPIasync programmingAPI developmentLLM-powered applicationsagent workflowsREST APIssystem integrationDockerprompt engineering
Soft Skills
collaborationclean codeproduction mindsettesting disciplinedistributed system thinking