Senior LLM – LangGraph Engineer

Employment Type: 12-Month Renewable Contract

Role Level: Senior Individual Contributor

Sector: Enterprise Retail

Role Overview

Our enterprise retail client is accelerating its AI transformation by moving flagship agentic workflows from prototype phase into full-scale production. We are seeking a Senior LLM – LangGraph Engineer to join the AI Lab on a 12-month renewable contract.

In this hands-on, engineering-focused role, you will take direct ownership of designing, building, hardening, and deploying production-ready Agentic AI applications. You will serve as the technical subject matter expert in LangGraph, translating business requirements into reliable, stateful multi-agent systems built for enterprise retail scale.

While primarily an individual contributor role, you will play a key part in raising engineering standards across the team through sound architectural choices, technical judgment, and peer code reviews.

Core Responsibilities

• LangGraph Agentic Architecture: Own the full lifecycle design and implementation of multi-step, stateful agentic workflows using LangGraph (including state graphs, multi-agent coordination, execution loops, retries, and human-in-the-loop patterns).

• Production Hardening: Transition prototypes into production-grade systems by actively managing reliability, low latency, token usage, execution cost, output deterministic constraints, and failure handling.

• System & API Integration: Connect backend agent systems with APIs, enterprise databases, retail data platforms, and user interfaces.

• LLMOps & Evaluation: Establish evaluation frameworks, prompt/version management, unit testing, telemetry, and real-time observability to continuously monitor agent performance in live environments.

• End-to-End Delivery: Take end-to-end technical ownership of complex use cases with limited supervision, identifying architectural trade-offs and technical risks early in the development cycle.

• Collaboration & Engineering Excellence: Partner with Data Scientists, Software Engineers, and Product teams to deliver tangible business value while setting high standards for clean, maintainable Python code.

Candidate Qualifications & Requirements

Must-Have Requirements

1. LangGraph Mastery: Deep, practical experience designing and building agentic workflows using LangGraph. You must understand stateful execution, complex routing, tool-calling loops, and context management at an expert level.

2. Production-Level AI Experience: Proven track record of taking LLM/GenAI applications beyond Proof-of-Concept (PoC) into live, mission-critical production environments.

3. Core Software Engineering: Strong background in production-grade Python, API design (RESTful/gRPC), application architecture, and modern software engineering best practices.

4. RAG & Retrieval: Hands-on experience with Retrieval-Augmented Generation (RAG), vector search engines, embeddings, structured data extraction, and context window optimization.

5. LLMOps Depth: Experience with LLM evaluation, observability tools, prompt versioning, testing, and production monitoring.

Preferred Qualifications (Nice-to-Have)

• UI & Frontend Integration: Experience connecting backend agent orchestration to frontend user interfaces (Web/App), including hands-on troubleshooting and end-to-end debugging across API and UI layers.

• Retail / Enterprise Context: Prior exposure to retail systems, e-commerce backend pipelines, or enterprise customer engagement platforms.

Seniority & Behavioral Expectations

• Self-Directed Ownership: Ability to take vague business or product goals and translate them into robust, executable technical architectures with minimal supervision.

• Pragmatic Architectural Judgment: Ability to determine when complex multi-agent patterns are required versus when simpler, deterministic software patterns are better suited.

• Code Quality & Mentorship: Willingness to conduct rigorous code reviews, share best practices, and elevate the overall technical output of the wider AI team.

Argyll Scott Asia is acting as an Employment Business in relation to this vacancy.