About theRole : What You’llDo : Designand implement Agentic AI systems with robust SQL-based data retrieval andmanipulation

Buildautonomous AI agents capable of querying, analyzing, and reasoning overstructured databases

Writeoptimized SQL queries, stored procedures, CTEs, and window functions forcomplex analytics

ImplementText-to-SQL agents using LLMs for natural language database interaction

Designand maintain data models, schemas, and database architectures for AI workloads

BuildRAG systems with SQL-based knowledge retrieval and hybrid search capabilities

IntegrateAI agents with relational databases (PostgreSQL, SQL Server, Oracle) and datawarehouses

DevelopAPIs and microservices for data access and agent orchestration

Optimizequery performance, indexing strategies, and database tuning for scale

Mentorteam members on programming best practices and database design patterns

Collaboratewith data scientists, ML engineers, and product teams on AI initiatives

What You’llNeed : Expert-level SQL proficiency— complex joins, subqueries, CTEs (Common Table Expressions), window functions,recursive queries, and query optimization

Deep understanding ofdatabase internals — execution plans, indexing strategies, partitioning, andperformance tuning for large-scale datasets

Experience with multipledatabase platforms — PostgreSQL, SQL Server, Oracle, MySQL, and cloud datawarehouses (Snowflake,



BigQuery, Redshift)

Solid datamodeling skills — normalization, denormalization, star/snowflake schemas, anddesigning for analytical and transactional workloads

StrongProgramming Fundamentals

Proficiencyin Python, Java, or C# with emphasis on clean, maintainable code

Strongfoundation in data structures, algorithms, and computational complexity

Experiencewith object-oriented and functional programming paradigms

Expertisein writing modular, testable, and well-documented code

Core TechnicalSkills Languages : Python(Pandas, SQLAlchemy, asyncio), Java, or C# Databases : PostgreSQL,SQL Server, Oracle, Snowflake, BigQuery DataEngineering : Apache Spark, dbt, Airflow, Prefect APIs : RESTfulAPIs, FastAPI/Flask, microservices

Agentic AI &LLM; Integration

Experiencebuilding AI agents with database tool calling and SQL generation

Familiaritywith LangChain, LlamaIndex, or similar frameworks for agent orchestration

Understandingof Text-to-SQL techniques and natural language query interfaces

Knowledgeof RAG architectures combining structured and unstructured data

Cloud &Infrastructure;

Experiencewith AWS (RDS, Redshift, Athena), Azure (SQL, Synapse), or GCP (BigQuery, CloudSQL)

Containerizationwith Docker, orchestration with Kubernetes

CI/CDpipelines, infrastructure as code (Terraform)

📌 Software Sr Engineer (Hyderabad)
🏢 Cbre
📍 Hyderabad