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Amaze - Cloud Data Engineer at HEXAWARE
, , India -
Full Time

Start Date

Immediate

Expiry Date

03 Sep, 26

Salary

0.0

Posted On

05 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Generative AI, LLMs, Prompt Engineering, RAG Pipelines, LangChain, LangGraph, Azure AI, AWS AI, Data Pipeline Orchestration, AI Safety, SQL Generation, Data Profiling, PySpark, Databricks, Azure Data Factory

Industry

IT Services and IT Consulting

Description
JD; Key Responsibilities Build LLM-based agents for profiling, modeling, quality, and transformation tasks and collaborate with architects on scalability and governance Agentic Orchestration: Develop sophisticated AI agents using LangGraph for complex data tasks like automated profiling, SQL generation, and data quality remediation. System Design: Build and maintain LLM chains and workflows, ensuring high modularity and reusability. Implement RAG (Retrieval-Augmented Generation) patterns. Collaborate with data science, engineering, and business teams to translate use cases into scalable AI solutions Evaluation & Monitoring: Implement frameworks to monitor agent accuracy, latency, and cost, using tools like RAG-evaluation metrics. Required Skills and Experience Strong hands-on experience in Python for data processing, automation, and backend development Experience working with Generative AI models and frameworks (LLMs, prompt engineering, RAG pipelines, model integration) AI Frameworks: Hands-on expertise in LangChain and LangGraph for building stateful, multi-step agentic workflows. Cloud Stack: Proficiency in the Azure or AWS AI portfolio Data Background: Solid understanding of data pipeline orchestration. AI Safety: Knowledge of prompt versioning, guardrails, and evaluating LLM outputs for "hallucination." Good communication skills to interact with stakeholders and present technical concepts clearly Nice to Have · Experience with multi-agent frameworks · Familiarity with Databricks, PySpark, Azure Data Factory, or AWS services. · Experience in deploying AI solutions within highly regulated enterprise
Responsibilities
Develop LLM-based agents and sophisticated AI workflows using LangGraph for data profiling, quality remediation, and SQL generation. Collaborate with cross-functional teams to design scalable AI solutions and implement monitoring frameworks for accuracy and cost.