Lead AI Platform Engineer

Goldcast; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Goldcast in Bengaluru seeks an experienced AI systems designer to build scalable enterprise AI services. You will architect agentic platforms, develop reasoning frameworks for high-stakes decisions, and create robust memory/context layers across multiple LLM providers.

The role focuses on evaluation pipelines, continuous learning from human feedback, and scalable deployments using FastAPI, Docker, AWS, and related tech.

Qualifications

• Experience with AI services and enterprise AI platforms.
• Knowledge of evaluation and model routing concepts.
• Ability to design scalable AI systems in cloud environments.

Responsibilities

• Design reusable AI services powering enterprise Decision Applications.
• Build enterprise-grade agentic systems.
• Design reasoning frameworks for complex business decisions.
• Build enterprise memory and context.
• Design AI evaluation pipelines.
• Support multiple LLM providers.
• Enable continuous learning from human feedback.

Skills

Python

Agentic AI

LangGraph

LangChain

MCP

LLM APIs

RAG

Knowledge Graphs

FastAPI

Docker

AWS

PostgreSQL

Redis

Job description

Responsibilities:

• Design reusable AI services that power every enterprise Decision Application. AI Runtime, Multi-Agent Framework, Enterprise Context Engine, Knowledge Graph, RAG and Hybrid Retrieval, Prompt Management, Tool Registry, Model Routing Layer, AI Evaluation Framework, Human-in-the-Loop Framework, AI Guardrails, Continuous Learning Framework, Engineering Challenges.


• Build enterprise-grade agentic systems.


• Design reasoning frameworks for complex business decisions.


• Build enterprise memory and context.


• Design AI evaluation pipelines.


• Support multiple LLM providers.


• Build trustworthy AI with complete decision lineage.


• Enable continuous learning from human feedback.

Requirements:

• Strong experience in several of the following: Python, Agentic AI, LangGraph, LangChain, MCP, LLM APIs, RAG, Knowledge Graphs, FastAPI, Docker, AWS, PostgreSQL, Redis.


• Good understanding of: AI Evaluation, Model Routing, Prompt Engineering, Enterprise AI, Multi-Agent Systems, Vector Databases.