AI Engineer

🕒 April 15

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 69%

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ADV TECHMINDS PVT LTD

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2015

💼 Consulting

🤝 B2B

🤖 Artificial Intelligence

Consulting • B2B • Artificial Intelligence

ADV TECHMINDS PVT LTD is an IT services and consulting firm that provides IT solutions and digital transformation services to businesses. The company focuses on IT strategy and planning, cloud enablement, project management, and security consulting. Its specialties include . NET, SAP consulting, Salesforce consulting, data engineering & analytics, cloud engineering, Java full‑stack development, quality assurance & automated testing, generative AI/LLM, and providing remote contract developers and user 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)

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