Data Scientist / AI Solution Engineer

• *Job Information**
• ------------------

• Job Type Permanant (Full Time)
• Work Experience 8\-10 years
• City Hyderabad
• Country India
• *Job Description**
• ------------------

• *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