Senior AI Engineer

Tredence Inc.; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Tredence Inc. is hiring a Senior AI Engineer to lead the development of a next-generation Enterprise AI Platform.

You will build AI Agents, Multi-Agent Systems, and Knowledge Systems, focusing on scalable backend services and integration with OpenAI, Claude, Gemini, and open-source models. You will work on Agent Servers, AI Workflow Engines, RAG infrastructure, and tool-calling frameworks, delivering production-grade systems with strong performance, governance, and enterprise readiness.

Qualifications

• Proven ability to build production-grade AI platforms.
• Experience with enterprise-scale backend systems.
• Strong software engineering fundamentals with AI integrations.

Responsibilities

• Design and build production-grade AI agents and workflows.
• Develop agent servers, workflow engines, and governance components.
• Collaborate across teams to deploy enterprise AI solutions at scale.

Skills

Python programming

FastAPI

AsyncIO

API design

Software architecture

LLM deployment

Tools

OpenAI

LangChain

LangGraph

LLM frameworks

Job description

Senior AI Engineer Agentic AI Platform

Location: Bangalore
Employment Type: Full-Time

About the Role

We are building a next-generation Enterprise AI Platform that enables organizations to create, deploy, govern, and scale AI Agents, Multi-Agent Systems, AI Workflows, Knowledge Systems, Data Pipelines, and Enterprise Integrations.

We are looking for exceptional engineers who are passionate about building real AI products, not demos. This role is for individuals who can combine strong software engineering fundamentals with modern AI technologies to build scalable, production-grade systems. You will work on core platform capabilities including Agent Servers, Workflow Engines, RAG Infrastructure, Model Orchestration, Tool Execution Frameworks, Enterprise Integrations, and AI Governance. This is a high-ownership role with significant growth opportunities for engineers who aspire to become Technical Leads, Principal Engineers, and Architects.

What You Will Build

• Production-grade AI Agents and Multi-Agent Systems.
• Agent Servers capable of orchestrating complex enterprise workflows.
• AI Workflow Engines supporting state management, branching, approvals, retries, checkpoints, and human-in-the-loop execution.
• Enterprise-scale RAG platforms with advanced retrieval, grounding, and knowledge management capabilities.
• AI Copilots for software engineering, data engineering, analytics, migration, automation, and enterprise operations.
• Model orchestration layers supporting OpenAI, Claude, Gemini, and open-source models.
• Tool-calling frameworks integrating databases, APIs, SaaS platforms, and enterprise systems.
• Highly scalable backend services, APIs, and distributed platform components.

Core Skills & Experience

Software Engineering Excellence

• Exceptional Python programming skills with a strong focus on performance, maintainability, and scalability.
• Deep production experience with FastAPI and modern backend development.
• Strong understanding of AsyncIO, concurrency, multithreading, multiprocessing, queues, event-driven systems, and high-performance architectures.
• Expertise in software design patterns, clean architecture, SOLID principles, API design, testing strategies, and system design.
• Proven ability to build and operate production systems handling real customer workloads.

Agentic AI & Generative AI

• Hands-on experience building applications using LangGraph, LangChain, OpenAI, Azure OpenAI, Anthropic Claude, Gemini, LlamaIndex, CrewAI, AutoGen, DSPy, or similar frameworks.
• Strong experience designing AI Agents, Multi-Agent Systems, Workflow Agents, Tool-Calling Systems, Memory Architectures, and Autonomous Workflows.
• Deep understanding of LLM application architecture, structured outputs, prompt engineering, evaluations, guardrails, model routing, and reasoning workflows.
• Experience taking AI applications from proof-of-concept to enterprise production deployments.

RAG, Search & Knowledge Systems

Preferred candidate profile