
Senior GenAI Engineer
Talent Matchmakers
full-time
Posted on:
Location Type: Remote
Location: Romania
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Job Level
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