AI engineer (remote)

ADV TECHMINDS; Bengaluru; Remote; INR 1,200,000 - 2,000,000; Full time

Job summary

A technology company in Bengaluru is seeking an AI Engineer to design and implement agentic AI systems utilizing LLMs. This role will focus on multi-agent architectures, performance optimization, and production-ready systems. Ideal candidates will have strong experience with LLM-based solutions, cloud deployment, and a solid backend development background, specifically with Python, Docker, and Kubernetes. The company emphasizes practical solutions and innovative architectures.

Qualifications

• Experience integrating APIs and enterprise systems.
• Understanding of agent design patterns, planning, memory, and tool use.
• Familiarity with Docker and Kubernetes.

Responsibilities

• Design and implement multi-agent architectures using LangGraph.
• Deploy agent-based systems on AWS.
• Build production-grade LLM applications.

Skills

Experience building LLM-based systems

Hands-on with LangGraph / LangChain

Strong Python and backend development skills

Experience with multi-agent systems

Tools

Docker

Kubernetes

AWS

Job description

Job Title: AI Engineer

Role Overview

We are seeking an AI Engineer to design and deploy agentic AI systems powered by LLMs, with a strong focus on multi‑agent orchestration, reasoning workflows, and production‑grade AI platforms. This role emphasizes building autonomous, tool‑using AI systems rather than traditional model development.

Key Responsibilities

• Agentic AI & Multi‑Agent Systems
  • Design and implement multi‑agent architectures using LangGraph
  • Build stateful, tool‑augmented agents capable of reasoning, planning, and execution
  • Develop agent orchestration patterns (planner‑executor, supervisor, hierarchical agents)
  • Implement memory systems (short‑term, long‑term, contextual memory)
  • Enable cross‑agent communication and coordination
• LLM Applications & Orchestration
  • Build production‑grade LLM applications (RAG, agents, copilots)
  • Integrate tools, APIs, and enterprise systems into agent workflows
  • Design robust prompting, routing, and guardrails
  • Optimize workflows for latency, cost, and quality
• Platform & API Development
  • Develop reusable AI services, agent frameworks, and APIs
  • Contribute to AI platform capabilities (model routing, observability, guardrails)
• Cloud Deployment & Production Systems
  • Deploy agent‑based systems on AWS
  • Use Docker and Kubernetes for scalable deployments
  • Implement monitoring and observability (LangSmith)
  • Ensure systems are resilient and production‑ready
• Performance Optimization & Evaluation
  • Evaluate agent performance across reasoning quality and task completion
  • Improve workflows using feedback loops and tracing
  • Diagnose and fix failure modes in multi‑step pipelines
• Collaboration & Enablement
  • Work with product and engineering teams to build agentic workflows
  • Guide teams on best practices for agent design
  • Contribute to reusable patterns and frameworks

Qualifications & Skills

• Core Expertise
  • Experience building LLM‑based systems (RAG, agents, copilots)
  • Hands‑on with LangGraph / LangChain
  • Experience with multi‑agent systems
  • Strong Python and backend development skills
• Agentic & Systems Thinking
  • Understanding of agent design patterns, planning, memory, and tool use
  • Experience integrating APIs and enterprise systems
  • Ability to debug multi‑step reasoning pipelines
• Cloud & Production Engineering
  • Experience with AWS, Azure, or GCP
  • Familiarity with Docker and Kubernetes
  • Understanding of observability and performance optimization
• Nice to Have
  • Experience with AI gateways and model routing
  • Exposure to cost optimization and guardrails
  • Familiarity with real‑time or event‑driven systems

What We're Looking For

• Engineers focused on systems and workflows, not just models
• Strong bias toward production‑ready AI applications
• Passion for agentic AI and next‑gen architectures