AI Engineer

Job not on LinkedIn

🕒 April 15

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 31%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Tech Minds Agency

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2022

💼 Consulting

📣 Marketing

🛍️ eCommerce

Consulting • Marketing • eCommerce

Tech Minds Agency is a creative IT solutions provider that specializes in helping businesses and individuals leverage technology for growth and success. They offer a diverse range of services including website creation, mobile app development, digital marketing, and training in various technical skills. Their mission is to navigate the evolving tech landscape, enabling clients to enhance their online presence and achieve their business goals. With a focus on personalized service and staying ahead of tech trends, Tech Minds Agency aims to empower its clients through innovative solutions and expert support.

📋 Description

• 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 • 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 • Develop reusable AI services, agent frameworks, and APIs • Deploy agent-based systems on AWS • Use Docker and Kubernetes for scalable deployments • Implement monitoring and observability (LangSmith) • 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 • Work with product and engineering teams to build agentic workflows • Guide teams on best practices for agent design • Contribute to reusable patterns and frameworks

🎯 Requirements

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