Senior AI Platform Engineer - LLM & Agentic Applications

HighSpring India LLP; United States; Remote; USD 32,000 - 63,000; Full time

Job summary

HighSpring India LLP is seeking a Senior AI Platform Engineer to design, build, and deploy production-grade AI applications powered by LLMs and Agentic AI. You will lead Python-based platform development, scalable APIs, and cloud-native services for enterprise clients.

This role emphasizes hands-on implementation of end-to-end AI systems, Retrieval-Augmented Generation pipelines, multi-agent workflows, testing, observability, security, and reliable deployment.

Qualifications

• 8+ years of software engineering experience.
• Python 6+ years as primary language.
• 2+ years building modern Python APIs (FastAPI or similar).
• 3+ years building production-grade AI applications with LLMs.

Responsibilities

• Design, develop, and maintain enterprise-grade AI applications using Python.
• Build scalable REST APIs using FastAPI or equivalent.
• Develop and deploy production-ready LLM-powered applications and Agentic AI solutions.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines.
• Build intelligent AI agents for multi-step reasoning and workflow orchestration.
• Develop secure, scalable cloud-native AI services.
• Implement AI application testing, evaluation, and performance monitoring.
• Collaborate with cross-functional teams to integrate AI services into enterprise platforms.
• Optimize AI application performance, observability, logging, and reliability.

Skills

Python

FastAPI

LLM / Generative AI

Agentic AI

RAG

REST APIs

Cloud-native deployments

Testing & CI/CD

Observability & security

Tools

Azure

CI/CD

Git

RBAC

Document & Evidence Engineering

Job description

Role: Senior AI Platform Engineer

Job Type: Full-time

Shift timing: 2 pm to 11 pm

Location: PAN India - Remote

Experience: 8+ Years

Job Summary

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, 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.
• 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.
• Optimize 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.

Preferred Skills

• Pydantic
• React
• TypeScript
• 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.