AI Platform Engineer

📋 Description

• Design, build, deploy, and operate scalable AI platform services with clear API contracts
• Develop production-grade Python services, shared libraries, SDKs, and integration patterns for
• Build and evolve a multi-provider model gateway with routing, fallback, retry, rate limiting, cost
• Develop RAG-as-a-service capabilities covering data ingestion, chunking, embeddings, retrieval
• Establish prompt management capabilities including templates, versioning, evaluation, rollout
• Build guardrails and content-safety mechanisms such as input filtering, output validation, PII

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent
• At least 5 years of professional software engineering experience with a strong production track
• Approximately 6+ years of experience building production distributed systems, ideally including
• At least 5 years of experience in MLOps, LLMOps, ML platform engineering, or a comparable
• At least 2 years of hands-on production experience with LLM-based systems, including areas such as
• Strong Python development skills plus proficiency in Go or Java, with experience writing

🎁 Benefits

• Fully remote opportunity available across India.
• Work schedule aligned to 11:00 AM–8:00 PM.
• Opportunity to join a newly formed AI platform team and help build its initial platform from the
• Significant technical ownership and the opportunity to influence foundational architecture and
• Hands-on exposure to modern LLM, RAG, AI agent, MLOps, LLMOps, cloud, observability, and platform
• Opportunity to work on production AI systems used across multiple product lines.