Description

Mandatory Skills

• 5+ years in Gen AI, AI Data Engineering, and Agentic AI-focused roles.

• Advanced Prompt Engineering, Context Engineering skills, Python skills.

• Hands-on experience building agentic AI solutions using Google ADK + LangChain/LangGraph, including orchestration and tool usage patterns.

• Strong Python development skills for backend services, workflow engines, and AI pipelines.

• Solid data engineering expertise:

• Building ETL/ELT pipelines

• Integrating data from multiple SoRs (APIs, DBs, files, streams)

• Working with data quality, schema evolution, and lineage

• Advanced SQL proficiency (complex joins, window functions, query optimization).

• Experience with RAG architectures and integrating LLMs with enterprise data sources (vector stores + relational systems).

• Production-grade engineering practices: testing, CI/CD, logging, monitoring, and error handling. ‘

• Prompt engineering / Prompt finetuning 

Desired Skills

• Experience with modern data stack tools (e.g., dbt, Airflow/Composer, Kafka/PubSub, BigQuery/Snowflake).

• Familiarity with vector databases and hybrid retrieval strategies.

• Experience deploying solutions on GCP (preferred) or other cloud platforms with scalable architectures.

• Knowledge of data governance, security, and PII handling in AI/data pipelines.

• Exposure to LLMOps frameworks (evaluation, prompt/version management, tracing, cost optimization).

• Experience implementing guardrails and safety controls for enterprise AI agents

Key Skills

Education

Bachelor's degree