LLM Agent Engineer

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November 4

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Expedite Commerce

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SaaS • Artificial Intelligence • B2B

Expedite Commerce is a company that offers an AI-first revenue operations platform designed to optimize the buying journey. They provide a suite of digital tools and solutions such as AI Configure Price Quote (CPQ), AI Contract Lifecycle Management (CLM), and a comprehensive digital experience platform. Their services aim to transform the buying process by engaging buyers effectively, accelerating sales cycles, and driving sustained growth through the use of automated and AI-driven technologies. Expedite Commerce serves various industries including SaaS, XaaS, IoT, and communications, and supports business models such as B2B, B2C, and B2B2C. Their solutions help sales, marketing, and finance operations enhance productivity, manage customer relationships, and meet changing market demands.

51 - 200 employees

☁️ SaaS

🤖 Artificial Intelligence

🤝 B2B

📋 Description

• Design & develop LLM-powered agents using frameworks like **OpenAI Agents SDK** and **Strands Agents SDK.** • Implement tool orchestration, contextual memory, reasoning chains, and feedback-learning loops that make agents smarter with every interaction. • Build multi-agent systems — where agents **communicate (A2A), share context/state, and coordinate actions** via the **Model Context Protocol (MCP).** • Deploy at scale — design serverless agent platforms using **AgentCore/Gateway**, integrate tools (REST APIs, MCP servers), and build event-driven systems with **API Gateway, DynamoDB, S3, and Kinesis.** • Code in Python and containers: package serverless functions into **Docker images**, optimize for performance, cost, and observability. • Own the lifecycle: from POC to production, balancing speed, quality, and innovation under delivery pressure. • Collaborate deeply with AI research, backend engineering, and product design teams to shape internal SDKs, frameworks, and agent standards. • This is your chance to **build what doesn’t exist yet** — defining how autonomous AI agents will power the enterprise.

🎯 Requirements

• You’ve spent at least a year in agentic AI, designing and deploying systems where agents reason, act, and learn autonomously. • You know your way around AWS serverless — from Lambda, AWS Step Function, Redis, Open Search, API Gateway , DynamoDB, Kinesis, and S3 — and can spin up event-driven agentic AI architectures that scale beautifully. • You’ve built and shipped with OpenAI Agents SDK or Strands Agents SDK, and you’re fluent in the language of multi-agent orchestration (A2A, shared context, MCP tools). • Python is your playground — you write clean, efficient code, package it into Docker containers, and get it running in production with confidence. • You think beyond code — about latency, cost, observability, and performance — and you design systems that are as elegant as they are efficient. • You understand that great agents don’t just *work* — they *improve*. You know how to design feedback loops, fine-tune reasoning, and measure outcomes. • You have implemented **RAG pipelines**, **knowledge graphs**, **vector stores** to power contextual memory and smarter decision-making into Agentic AI solution • Familiarity with **AgentCore/Gateway** or similar frameworks? That’s a major plus • **Communication Skills:** Excellent verbal and written communication skills that foster collaboration and engagement. • **Creativity & Curiosity:** A genuine curiosity for emerging technologies and a talent for coming up with creative solutions to complex problems. • **Adaptability:** Thrives in a fast-paced environment and can pivot quickly while maintaining a positive attitude. • Work Timings - 1 pm -10 pm IST

🏖️ Benefits

• Health Insurance, PTO, and Leave time • Ongoing paid professional training and certifications • Fully Remote work Opportunity • Strong Onboarding & Training programs