Senior Python AI Engineer — Generative & LLM Platforms

EMBS Technology; Greater London; Hybrid; GBP 60,000 - 75,000; Full time

Benefits offered by this job

London hybrid work model

Exposure to enterprise AI platforms

Job summary

EMBS Technology seeks an experienced Senior Python AI Developer to design and build enterprise-grade Generative and Agentic AI solutions. You will implement Python backend services, integrate LLMs and orchestrate prompts within AWS environments, collaborating with senior engineers and platform specialists.

The role emphasizes hands-on development, CI/CD, and scalable, secure AI systems across enterprise workflows in a London-hybrid setting.

Qualifications

• 8+ years of commercial experience.
• Strong backend engineering with Python.
• Experience with Generative AI and LLMs.

Responsibilities

• Design and develop Python backend services and APIs using FastAPI.
• Build Generative AI, Agentic AI and LLM-powered apps.
• Develop RAG architectures, prompt orchestration and AI tooling.
• Integrate LLMs with enterprise apps and workflows.
• Work with AWS services including Bedrock and EC2/S3/SQS.
• Design CI/CD pipelines, automation and microservices.
• Support LLM benchmarking, performance monitoring and cost optimisation.
• Integrate AI services with security and observability frameworks.
• Collaborate with architects on scalable AI solutions.

Skills

Python backend

FastAPI

LLMs

Agentic AI

AWS cloud

DevOps

CI/CD

Distributed systems

LLM integration

Tools

Terraform

GitOps

Kong API Gateway

SQL/NoSQL databases

Promptfoo

Arize

Job description

EMBS Technology seeks an experienced Senior Python AI Developer to design and build enterprise-grade Generative and Agentic AI solutions. You will implement Python backend services, integrate LLMs and orchestrate prompts within AWS environments, collaborating with senior engineers and platform specialists.

The role emphasizes hands-on development, CI/CD, and scalable, secure AI systems across enterprise workflows in a London-hybrid setting.