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Salary
≈ $128k – $285k per year (Estimated)
Location
In office (United States)

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Sep 3, 2026. Hexaware Technologies scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Hexaware Technologies is a global IT and business process services company headquartered in Navi Mumbai, India, providing cloud, data, AI, application development, enterprise platform and digital transformation services. Founded in 1990, it serves clients in banking, financial services, healthcare, insurance, travel, transportation, manufacturing and consumer industries, employs more than 31,600 people and is listed in India and majority-owned by The Carlyle Group. It hires Java and full stack developers, DevOps and cloud engineers, Gen AI architects, SAP consultants, delivery managers and support engineers in India, the United States, Sri Lanka, Singapore and Argentina.

Role: AI Engineer

Description:

  • Design, develop, and maintain AI-powered enterprise applications using React, TypeScript, JavaScript, Python, and Microservices Architecture.
  • Leverage GitHub Copilot, Claude Code, Amazon Q Developer, and other AI coding assistants to convert business requirements and user stories into production-ready code and pull requests.
  • Architect and develop AI-enabled solutions using LLMs, GenAI services, and Agentic AI frameworks.
  • Build scalable backend APIs and microservices integrating AI services with enterprise systems.
  • Design and implement Retrieval Augmented Generation (RAG) solutions using vector databases and enterprise knowledge repositories.
  • Develop conversational AI applications, copilots, virtual assistants, and intelligent workflow automation solutions.
  • Implement Prompt Engineering and Context Engineering techniques to improve AI output quality, consistency, and performance.
  • Build autonomous and semi-autonomous AI agents capable of orchestrating multi-step business processes.
  • Design memory management strategies, including:
    • Short-term Memory
    • Long-term Memory
    • Context Windows
    • Token Optimization
  • Integrate AI services using:
    • Amazon Bedrock
    • Claude
    • OpenAI
    • Other Foundation Model Platforms
  • Develop event-driven architectures leveraging Kafka and cloud-native messaging services.
  • Collaborate with Product Owners, Architects, Business Analysts, and Development teams to identify AI automation opportunities.
  • Implement AI governance, observability, monitoring, and performance optimization practices.
  • Participate in Agile development, code reviews, CI/CD automation, and DevSecOps processes.
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