AI Engineer
Maxima Consulting
contract
Posted on:
Location Type: Hybrid
Location: Cracow • 🇵🇱 Poland
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AzureCloudFlaskNumpyPandasPythonSQL
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonLangChainLlamaIndexFlaskFastAPIMLflowTriton Inference ServerFAISSWeaviatePinecone
Soft skills
collaborationcommunicationcross-functional teamwork