Senior AI Platform Engineer - Remote - Contract or Freelancing or FT

Senior AI Platform Engineer

Job Type: Full-Time/Contract/Freelancing
 Location: PAN India (100% Remote)
 Shift Timings: 2:00 PM 11:00 PM IST
 Experience: 8–18 Years
 Notice Period: Immediate to 30 Days (Maximum)

Number of roles: 2(With Big4 and without Big4)

About the Role

We are looking for an experienced Senior AI Platform Engineer to design, develop, and deploy enterprise-grade AI applications powered by Large Language Models (LLMs), Agentic AI, and Retrieval-Augmented Generation (RAG). The ideal candidate will have strong Python engineering expertise and hands-on experience building scalable, secure, and production-ready AI platforms.

This role requires developing AI solutions for SOX, ITGC, Internal Audit, and Control Testing use cases, enabling intelligent automation of compliance and audit processes.

Key Responsibilities

• Design and develop enterprise AI applications using Python and modern AI frameworks.
• Build scalable REST APIs using FastAPI or equivalent Python frameworks.
• Develop and deploy production-grade LLM and Generative AI applications.
• Design and implement Agentic AI workflows using frameworks such as LangGraph, CrewAI, Semantic Kernel, or AutoGen.
• Build Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models.
• Develop AI applications for SOX, ITGC, Internal Audit, and Control Testing automation.
• Build document intelligence solutions capable of processing Excel, Word, PowerPoint, PDF, and OOXML documents.
• Implement OCR and document extraction pipelines for structured and unstructured content.
• Develop AI evaluation frameworks, regression testing, contract testing, and automated validation pipelines.
• Deploy secure AI solutions on Azure (preferred) or equivalent cloud platforms.
• Implement RBAC, secrets management, logging, monitoring, and secure deployment practices.
• Collaborate with cross-functional teams to deliver scalable AI platforms following engineering best practices.

Mandatory Skills

Programming

• Python (6+ years) as the primary programming language
• FastAPI (2+ years) or equivalent modern Python API framework

AI & Generative AI

• 3+ years of enterprise LLM / Generative AI experience
• Hands-on experience building production AI applications
• Agentic AI / AI Agents (minimum 1 year; 2+ years preferred)
• RAG (Retrieval-Augmented Generation) – 2+ years

AI Engineering

• Production-grade REST API development
• AI application testing and evaluation
• CI/CD for AI applications
• Regression and contract testing

Cloud & Security

• Azure (preferred) or equivalent cloud platform
• RBAC
• Secrets Management
• Logging & Monitoring
• Secure cloud deployment

Frameworks & Technologies

• Pydantic
• React
• TypeScript

Document Intelligence

• OCR
• Document Intelligence
• Table Extraction
• Excel
• Word
• PowerPoint
• PDF
• OOXML

DevOps & Engineering

• Git
• Documentation
• Refactoring
• AI-assisted engineering practices

Domain Experience (Mandatory)

Candidates should have experience developing AI solutions for:

• SOX Compliance
• IT General Controls (ITGC)
• Internal Audit
• Control Testing

Preferred Experience

• Experience working with a Big4 consulting firm (Deloitte, EY, PwC, KPMG) or a similar consulting organization.
• Experience with Azure OpenAI, OpenAI, LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, vector databases, and enterprise AI governance.
• Experience deploying production AI applications at enterprise scale.

Candidate Drop Criteria

Please do not consider candidates if:

• Overall experience is less than 8 years.
• Python is not the primary programming language.
• Less than 3 years of enterprise LLM/Generative AI experience.
• No hands-on Agentic AI experience.
• No RAG implementation experience.
• AI experience is limited to chatbots, prompt engineering, hackathons, POCs, or personal projects.
• No experience building production-grade APIs.
• No experience building production AI applications.
• No experience in SOX, ITGC, Internal Audit, or Control Testing AI solutions.

Preferred Candidate Profile

• 8–12 years of overall software engineering experience.
• Strong Python backend engineering expertise.
• Proven experience delivering enterprise AI platforms in production.
• Excellent problem-solving and communication skills.
• Ability to work independently in a remote, fast-paced consulting environment.