Role: Senior AI Engineer

Type: Remote

Experience: 8 Years

Shift:- UK Hours

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

Solid bias toward production-ready AI applications

Passion for agentic AI and next-gen architectures

📌 AI Engineer (Uttar Pradesh)
🏢 Sparix Global
📍 Uttar Pradesh