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Sr AI Platform Engineer -LLM & Agentic AI SOX | ITGC | Audit

Job in Washington, District of Columbia, 20022, USA
Listing for: HighSpring India LLP
Full Time position
Listed on 2026-09-04
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Python, Backend Developer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 140000 - 180000 USD Yearly USD 140000.00 180000.00 YEAR
Job Description & How to Apply Below
Position: Sr AI Platform Engineer -LLM & Agentic AI -(SOX | ITGC | Audit )

domains

Role:
Senior AI Platform Engineer

Job Type:

- Full-time

Work mode:

- Remote

Years of experience: 8+ years

Working hours:

2 pm 11 pm IST

We are looking for a highly skilled Senior AI Platform Engineer to design, build, and deploy production-

grade AI applications powered by Large Language Models (LLMs) and Agentic AI. The ideal candidate will

have extensive experience in Python application engineering, modern API development, and Retrieval-

Augmented Generation (RAG), AI agent frameworks, and secure cloud-native deployments.

This role requires hands-on expertise in developing enterprise-scale AI platforms and APIs, with a strong

Focus on quality, testing, scalability, and security.

Key Responsibilities
  • Design, develop, and maintain enterprise-grade AI applications using Python.
  • Build scalable REST APIs using FastAPI (or equivalent modern Python frameworks).
  • Develop and deploy production-ready LLM-powered applications and Agentic AI solutions.
  • Design and implement Retrieval-Augmented Generation (RAG) pipelines.
  • Develop AI solutions supporting SOX Compliance, ITGC, Internal Audit, Risk & Control Testing,
  • and Governance processes.
  • Build intelligent AI agents capable of multi-step reasoning and workflow orchestration.
  • Develop secure, scalable cloud-native AI services.
  • Implement AI application testing, evaluation, regression testing, and performance monitoring.
  • Collaborate with cross-functional teams to integrate AI services into enterprise platforms.
  • Optimise AI application performance, observability, logging, and reliability.
  • Follow engineering best practices, documentation standards, and CI/CD processes.
Required Skills:

Experience Must Have
  • 8+ years of overall software engineering experience.
  • Python 6+ years (Primary programming language).
  • FastAPI 2+ years (or equivalent modern Python API framework).
  • LLM / Generative AI 3+ years building production-grade enterprise AI applications.
  • Agentic AI / AI Agents 1+ year (2+ years preferred).
  • Retrieval-Augmented Generation (RAG) 2+ years.
  • Experience developing production-grade REST APIs.
  • Experience deploying secure cloud-native AI applications.
  • Strong understanding of AI application architecture, testing, and evaluation.
  • Knowledge on SOX controls, ITGC
Preferred Skills
  • Pydantic
  • React
  • Type Script
  • Document & Evidence Engineering (Excel, Word, PowerPoint, PDF, OOXML)
  • OCR
  • Document Intelligence
  • Table Extraction
  • AI Evaluation Frameworks
  • Regression Testing
  • Contract Testing
  • CI/CD Pipelines
  • Microsoft Azure (or equivalent cloud platforms)
  • RBAC (Role-Based Access Control)
  • Secrets Management
  • Application Logging & Monitoring
  • Git
  • AI-assisted Software Engineering
  • Documentation & Refactoring
Nice-to-Have Experience
  • Enterprise document intelligence solutions.
  • Multi-agent AI systems.
  • Cloud-native deployment architectures.
  • End-to-end AI platform engineering.
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