Nasscomm

AI Platform (AWS, Python) Only W2

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Platform Engineer focusing on API & AI services, with a 6+ month contract, remote work location, and a pay rate of "TBD." Key skills include Python/FastAPI, AWS, API architecture, and AI service integration.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 16, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Cloud #Terraform #Redis #FastAPI #AI (Artificial Intelligence) #Monitoring #Scala #Security #AWS (Amazon Web Services) #API (Application Programming Interface) #Observability #Python #DevOps #RDS (Amazon Relational Database Service) #Deployment #Code Reviews
Role description
Job Title: Lead Platform Engineer, API & AI Services Location: Remote Duration: 6+ Months contract • Lead and own a production API Gateway platform supporting enterprise AI services for legal research, contract review, and document processing. • Manage a secure, scalable Python/FastAPI-based multi-tenant platform running on AWS cloud infrastructure. • Design and maintain API gateway features including routing, authentication, authorization, rate limiting, fault isolation, and reliability improvements. • Implement CIAM/OIDC/OAuth 2.0 security, JWT validation, JWKS key management, tenant identity propagation, and API key lifecycle management. • Lead a team of 3–4 engineers through architecture decisions, code reviews, mentoring, and technical ownership. • Build and maintain AWS infrastructure using ECS Fargate, Terraform/CDK, Redis, and RDS. • Manage CI/CD pipelines, production deployments, observability, monitoring, and distributed tracing. • Collaborate with AI teams on LLM-powered services, RAG pipelines, agent workflows, and structured AI outputs. • Design enterprise AI integrations including MCP servers, callable tools, and AI agent interfaces. • Required experience: Python/FastAPI, AWS, API architecture, cloud platforms, DevOps, security, and AI service integration.