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 contemporary 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)
🏢 Important Company of the Sector
📍 Hyderabad