Job VC
AI Engineer / Data Engineer
Technologies
Description
For our client in the energy industry, we are currently looking for an AI Engineer / Data Engineer
EU only !!!
Project & Role Overview
The role focuses on building production-grade AI applications and LLM pipelines, with a strong emphasis on scalability, observability, and modern development practices.
Key Responsibilities
Develop production-grade Python applications using FastAPI, including async patterns and clean/easy patterns
Build and manage LLM pipelines using OpenAI SDK, LangChain, or LangGraph
Apply prompt engineering techniques, including structured outputs and Human-in-the-Loop (HITL) design
Ensure LLM observability, meaning continuous monitoring, understanding, and analysis of LLM behavior in production (e.g., GPT, Copilot)
Work with REST APIs and event-driven architectures
Handle PostgreSQL databases and manage upstream/downstream data contracts
Use AI coding tools such as GitHub Copilot, Codex, Claude Code, or similar
Implement CI/CD pipelines, Docker-based environments, and follow testing best practices (testing pyramid)
Must-Have !!!
Strong Python expertise with production-grade development (FastAPI, async patterns)
Experience with LLM pipelines (OpenAI SDK, LangChain, LangGraph or similar)
Solid prompt engineering skills (structured outputs, HITL concepts)
Understanding of LLM observability (monitoring and analyzing LLMs in production environments)
Experience with CI/CD pipelines, Docker, and testing strategies (testing pyramid)
Experience with REST APIs and/or event-driven APIs
Database experience, especially PostgreSQL
Familiarity with AI coding tools (GitHub Copilot, Codex, Claude Code, etc.)
Knowledge of data contracts (upstream/downstream integration)
English fluency (mandatory)
Nice-to-Have Skills
Experience with event-driven architecture (Azure Service Bus, Kafka, RabbitMQ or equivalent)
Knowledge of async workers, fan-out / join patterns
Experience with Azure-native services (Container Apps, KEDA autoscaling, IAM, secrets management)
General Azure experience
Start: asap
Duration: 6 months (option of extension)
Location: remote
Language: English
EU only !!!
Project & Role Overview
The role focuses on building production-grade AI applications and LLM pipelines, with a strong emphasis on scalability, observability, and modern development practices.
Key Responsibilities
Develop production-grade Python applications using FastAPI, including async patterns and clean/easy patterns
Build and manage LLM pipelines using OpenAI SDK, LangChain, or LangGraph
Apply prompt engineering techniques, including structured outputs and Human-in-the-Loop (HITL) design
Ensure LLM observability, meaning continuous monitoring, understanding, and analysis of LLM behavior in production (e.g., GPT, Copilot)
Work with REST APIs and event-driven architectures
Handle PostgreSQL databases and manage upstream/downstream data contracts
Use AI coding tools such as GitHub Copilot, Codex, Claude Code, or similar
Implement CI/CD pipelines, Docker-based environments, and follow testing best practices (testing pyramid)
Must-Have !!!
Strong Python expertise with production-grade development (FastAPI, async patterns)
Experience with LLM pipelines (OpenAI SDK, LangChain, LangGraph or similar)
Solid prompt engineering skills (structured outputs, HITL concepts)
Understanding of LLM observability (monitoring and analyzing LLMs in production environments)
Experience with CI/CD pipelines, Docker, and testing strategies (testing pyramid)
Experience with REST APIs and/or event-driven APIs
Database experience, especially PostgreSQL
Familiarity with AI coding tools (GitHub Copilot, Codex, Claude Code, etc.)
Knowledge of data contracts (upstream/downstream integration)
English fluency (mandatory)
Nice-to-Have Skills
Experience with event-driven architecture (Azure Service Bus, Kafka, RabbitMQ or equivalent)
Knowledge of async workers, fan-out / join patterns
Experience with Azure-native services (Container Apps, KEDA autoscaling, IAM, secrets management)
General Azure experience
Start: asap
Duration: 6 months (option of extension)
Location: remote
Language: English