Data Scientist / AI Solution Engineer

Responsibilities:

AI & Agentic Application Development

• 
  Design, develop, and deploy AI-powered applications using LLMs and Agentic AI architectures.

• 
  Build reliable AI workflows utilizing tool/function calling, structured outputs, memory management, state handling, and error recovery.

• 
  Implement and maintain production AI systems with strong focus on scalability, observability, security, and reliability.

• 
  Leverage AI-assisted development tools for coding, code review, testing, and validation.

• 
  Define and execute AI evaluation frameworks, including experimentation, model assessment, performance measurement, and statistical analysis.

Python Engineering & API Development

• Develop high-quality, maintainable Python applications following software engineering best practices.
  
• Build and maintain RESTful APIs using FastAPI.
  
• Implement API contracts, request/response validation using Pydantic, and streaming responses.
  
• Develop automated test suites and maintain CI/CD pipelines.
  
• Apply asynchronous programming techniques to improve application performance and scalability.

RAG, LLMs & Machine Learning

• Design and implement Retrieval-Augmented Generation (RAG) solutions.
  
• Optimize chunking strategies, embeddings, hybrid retrieval, reranking, and retrieval quality.
  
• Evaluate and improve AI system performance using quantitative metrics.
  
• Apply machine learning techniques to predictive and prescriptive business problems.
  
• Demonstrate strong understanding of LLM architecture, tokenization, embeddings, transformers, attention mechanisms, and model limitations.

Data & Business Translation

• Translate business requirements into measurable technical solutions and acceptance criteria.
  
• Design and optimize data models for SQL and NoSQL databases.
  
• Work with Cosmos DB and other scalable data platforms.
  
• Collaborate with product, business, and engineering teams to deliver end-to-end solutions.

Azure AI & Cloud Solutions

• Design AI solutions utilizing:
  
• Azure AI Foundry
  
• Azure AI Search
  
• Azure OpenAI / LLM Services
  
• Azure Functions
  
• Azure Cosmos DB
  
• Azure Blob Storage
  
• Deploy, monitor, troubleshoot, and optimize AI applications on Azure.

Profile Description:

• 10+ years of software engineering experience, with 5-6+ years focused on AI, GenAI, LLMs, and cloud-native application development.
  
• Strong Python expertise with proven experience in building scalable, maintainable, and well-tested applications.
  
• Hands-on experience developing APIs using FastAPI, Pydantic, asynchronous programming, and streaming responses.
  
• Proven track record delivering production-grade AI solutions, including deployment, monitoring, troubleshooting, and operational support.
  
• Experience building Agentic AI applications using tool/function calling, structured outputs, workflow orchestration, memory, and state management.
  
• Strong understanding of RAG architectures, embeddings, hybrid search, reranking, and retrieval evaluation.
  
• Solid foundation in machine learning, statistics, experimentation, and AI model evaluation.
  
• Deep understanding of LLM concepts, including tokenization, embeddings, transformers, attention mechanisms, and model limitations.
  
• Experience implementing AI safety, observability, prompt-injection protection, and data governance practices.
  
• Hands-on experience with LangGraph or similar orchestration frameworks.
  
• Strong knowledge of SQL and NoSQL databases, including Cosmos DB and data modeling best practices.
  
• Experience working with Azure AI Foundry, Azure AI Search, Azure OpenAI, Azure Functions, Blob Storage, and related Azure services.
  
• Ability to translate business requirements into measurable outcomes and scalable technical solutions.
  
• Familiarity with CI/CD, Agile/Scrum methodologies, and modern software engineering practices.
  
• Strong problem-solving, communication, stakeholder management, and collaboration skills.
  
• Demonstrates ownership, continuous learning, knowledge sharing, and a passion for engineering excellence.
  
• Exposure to Polars, Kedro, Grafana, advanced data engineering, and advanced machine learning techniques is a plus.

Nice to have Competencies:

• Working experience in a SAFe environment is a plus.
  
• Experience working with European clients