Hybrid AI Engineer

at Maxima Consulting

• Job title: AI Engineer
• Job type: Contract
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Azure, Cloud, Flask, Numpy, Pandas, Python, SQL
• Location requirements: Hybrid, Cracow, Poland

About the role

• AI Engineer working with Generative AI and Large Language Models at a global energy and petrochemical company. Responsible for designing, deploying, and integrating AI solutions with measurable impact.

Responsibilities

• Design, build, and deploy LLM-powered applications leveraging frameworks such as LangChain and LlamaIndex.
• Integrate Generative AI APIs (OpenAI, Anthropic, Cohere, Mistral) into enterprise systems, ensuring scalability and reliability.
• Collaborate with data scientists, DevOps, and product teams to deliver production-ready GenAI solutions.
• Develop retrieval-augmented generation (RAG) systems combining LLMs with enterprise data using vector databases (FAISS, Weaviate, Pinecone, Qdrant).
• Lead model deployment using tools like Flask, FastAPI, MLflow, and Triton Inference Server.
• Ensure responsible AI practices through bias detection, content filtering, explainability, and hallucination mitigation.
• Build and automate evaluation pipelines to track key metrics such as relevance, response quality, and drift detection in production.
• Engage in rapid prototyping to test and deliver AI-driven MVPs supporting digital transformation initiatives.
• Collaborate on AI system architecture design, focusing on performance, robustness, and maintainability.
• Drive continuous improvement in GenAI safety layers, guardrails, and prompt optimization.

Requirements

• Strong programming proficiency in Python.
• Hands-on experience with data processing tools such as NumPy, Pandas, and SQL.
• Proven experience with model deployment and serving frameworks (Flask, FastAPI, MLflow, Triton).
• Proficiency with LLM frameworks (LangChain, LlamaIndex) and vector databases (FAISS, Weaviate, Pinecone, or Qdrant).
• Experience integrating APIs from OpenAI, Anthropic, Cohere, or Mistral.
• Good understanding of MLOps principles: versioning, monitoring, and logging.
• Familiarity with LLM safety practices, including hallucination mitigation and prompt validation.
• Strong grasp of evaluation and monitoring techniques for GenAI models (e.g., A/B testing, MLflow tracking).
• Excellent collaboration and communication skills; able to work cross-functionally.
• Experience with Azure Cloud is a plus.
• Knowledge of Oil & Gas, Shipping & Trading, or ETRM business domains is a strong advantage.

Benefits

• Competitive salary based on experience
• Training and learning opportunities
• Equipment budget
• Private healthcare
• Remote work options
• Birthday gifts
• MultiSport card
• Wellbee mental health package