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AI-Native Software Engineer

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Onsite

AI-Native Software Engineer

Sparix Global

AI-Native Software Engineer

Skills

Google Cloud PlatformAIAWSGitHubWorkdayOracleSAP ERPSAP SuccessFactorsSAP ConcurAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Noida, Uttar Pradesh, India

Work mode:

Onsite

Published on:

27 August 2026

What they need


Job Summary

Position: AI-Native Software Engineer
Experience: 6-10 Years
Open Positions: 5
Interview Slots Available: 15 slots over the next 2 days (Immediate scheduling)
Locations: Chennai

Mandatory Requirements

  • Valid Passport (Mandatory)

  • UAN

  • Strong communication skills.

  • Candidates should be comfortable working in an AI-native software development environment.

    Key Responsibilities

  • Design system architecture, APIs, and data models for AI-driven applications.

  • Build and manage production-grade agentic systems.

  • Design and implement RAG (Retrieval-Augmented Generation) pipelines.

  • Develop multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or similar.

  • Define AI specifications, prompts, context rules, and validation strategies.

  • Review, test, debug, and audit AI-generated code.

  • Build backend services, APIs, and frontend components where required.

  • Design Human-in-the-Loop (HITL) validation processes for critical workflows.

  • Work across the complete SDLC, including CI/CD and automated testing.

    Mandatory Technical Skills

  • Strong Computer Science fundamentals (Data Structures, Algorithms, System Design, Distributed Systems)

  • Hands-on experience in AI-generated code review and code auditing

  • Production experience with Agentic AI frameworks (LangGraph, LangChain, AutoGen, or equivalent)

  • Strong experience in RAG architecture, Vector Databases, Embeddings, Hybrid Search, and Retrieval Evaluation

  • Expertise with AI-native development tools such as Cursor, Windsurf, GitHub Copilot, Claude Code, Aider, or Codex CLI

  • Prompt Engineering and Context Engineering

  • Cloud Platforms (Azure/AWS/GCP)

  • REST APIs and asynchronous programming

  • CI/CD pipelines with automated testing

    Preferred Skills

  • Experience with SAP SuccessFactors, Workday, Oracle HCM, Concur, or similar enterprise platforms

  • MLOps, model training/fine-tuning, or evaluation frameworks

  • OKTA, Azure AD, or enterprise authentication integrations

  • GitHub or portfolio showcasing AI-native or agentic development projects

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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