Amaze - Cloud Data Engineer

Posted Yesterday
Be an Early Applicant
Hiring Remotely in India
Remote
Mid level
Information Technology • Consulting
The Role
Design and build LLM-based agentic workflows for data profiling, modeling, quality, and transformation. Develop LangChain/LangGraph multi-step agents, implement RAG patterns, collaborate with cross-functional teams, and monitor agent accuracy, latency, and cost.
Summary Generated by Built In
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

Skills Required

  • 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)
  • Hands-on expertise in LangChain and LangGraph for building stateful, multi-step agentic workflows
  • Proficiency in the Azure or AWS AI portfolio
  • Solid understanding of data pipeline orchestration
  • Knowledge of prompt versioning, guardrails, and evaluating LLM outputs for hallucination
  • Implement RAG (Retrieval-Augmented Generation) patterns and RAG evaluation metrics
  • Good communication skills to interact with stakeholders and present technical concepts clearly
  • Experience with multi-agent frameworks
  • Familiarity with Databricks, PySpark, Azure Data Factory, or AWS services
  • Experience deploying AI solutions within highly regulated enterprise environments

Hexaware Technologies Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Hexaware Technologies and has not been reviewed or approved by Hexaware Technologies.

  • Healthcare Strength Feedback suggests health insurance is a standout element, often described as strong and comparable or better than many employers. Medical coverage and related protections are repeatedly highlighted as reliable pillars of the package.
  • Parental & Family Support Parental leave options, including extended paid leave in some locations, are offered and seen as valuable for family needs. Feedback suggests these policies complement core medical coverage for a more complete family safety net.
  • Wellbeing & Lifestyle Benefits Wellbeing resources such as an Employee Assistance Program, wellness initiatives, on-site gyms, and engagement activities provide lifestyle support. These offerings are reinforced by flexible work options and shift-related extras where applicable.

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The Company
HQ: Navi Mumbai, Maharashtra
27,000 Employees
Year Founded: 1990

What We Do

At Hexaware, we're not just a global technology and business process services company; we're a community of 27,000 Hexawarians dedicated to one singular purpose: creating smiles through the power of great people and technology. With a presence in 40+ offices across 19 countries, we empower enterprises worldwide to embark on their digital transformation journey with unparalleled scale and speed. As an employer, we're more than just a workplace. We put our people first, foster diversity and inclusivity, and prioritize their growth through robust learning and development programs. Our culture is a canvas for innovation as we work toward our shared vision of becoming the world’s most loved digital transformation partner. Exciting, isn’t it? Visit www.hexaware.com to join us in embracing the magic of technology, as we passionately advocate for its potential to transform lives today and shape a brighter future. Together, we'll make the digital world a better place.

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