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.
- Robust 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

📌 Data Scientist / AI Solution Engineer (Hyderabad)
🏢 Colruyt Group India
📍 Hyderabad