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EMBS Engineering

Senior Python AI Developer

EMBS Engineering London
60,000 to 75,000
32 - 40 hour
new


Show Recently closed jobs

    EMBS Engineering

    Senior Python AI Developer

    EMBS Engineering London
    60,000 to 75,000
    32 - 40 hour
    new
    Status Open
    Apply now

    Apply on the employer's website


    What we ask

    Education

    No minimum education required

    What we offer

    Salary
    £60,000 to £75,000
    Hours
    32 to 40 hours per week
    Employment type
    permanent, contract

    Job description

    Senior Python AI Developer - Generative & Agentic AI

    Python | FastAPI | AWS | LLMs | RAG | Agentic AI | DevOps

    Salary: £60,000 - £75,000
    Contract rate: c£475 per day
    Location: London - Hybrid (3 days per week onsite)
    Employment: Permanent or Contract | 2 positions

    We're recruiting two experienced Senior Python AI Developers to join a technology consultancy delivering enterprise-scale Generative and Agentic AI solutions for a major financial services client.

    These are hands-on engineering opportunities focused on building core services, features and capabilities for an enterprise-grade AI platform.

    You'll combine strong Python backend development with LLM integration, AWS cloud technologies and DevOps, working alongside experienced AI engineers, architects and platform specialists to deliver secure, scalable, production-ready AI applications.

    The role

    * Designing and developing Python backend services and APIs using FastAPI

    * Building Generative AI, Agentic AI and LLM-powered applications

    * Developing RAG architectures, prompt orchestration and AI evaluation tooling

    * Integrating LLMs with enterprise applications and business workflows

    * Working with AWS services including Bedrock, AgentCore, EKS, EC2, S3 and SQS

    * Designing CI/CD pipelines, automation and reusable microservices

    * Supporting LLM benchmarking, performance monitoring and cost optimisation

    * Integrating AI services with enterprise security and observability frameworks

    * Collaborating with architects and platform engineers on scalable AI solutions

    What we're looking for

    You'll be an experienced Python Developer or AI Engineer with strong backend engineering skills and practical experience developing Generative AI applications. We'd expect experience across a good mix of:

    * Strong Python backend development and FastAPI

    * Generative AI, Agentic AI and Large Language Models

    * RAG architectures, prompt orchestration and vector search

    * AWS cloud engineering, particularly Bedrock and AgentCore

    * RESTful APIs, microservices and distributed systems

    * CI/CD pipelines, DevOps and automation

    * LLM integration, evaluation and performance optimisation

    * Secure application development and observability

    Experience with Terraform, GitOps, Kong API Gateway, SQL/NoSQL databases and AI evaluation tools such as Promptfoo or Arize would also be useful.

    Previous experience working within financial services, insurance or other regulated environments would be beneficial.

    What's on offer

    * Two positions available - permanent or contract

    * Permanent salary of £60,000 - £75,000

    * Contract rate of c£475 per day

    * London hybrid working - 3 days per week onsite

    * Opportunity to build enterprise-scale Generative and Agentic AI applications

    * Hands-on experience with modern LLM technologies and AWS AI services

    * Collaboration with experienced AI engineers, architects and platform specialists

    Ideally, you'll have 8+ years' commercial experience and be available immediately or within four weeks.

    This is a great opportunity for an experienced Senior Python Developer, Generative AI Engineer or LLM Engineer looking to build real-world AI applications and take enterprise AI solutions into production.

    Interested? Get in touch to find out more
    Salary description

    £60000.00 - £75000.00 per year

    Apply now

    Apply on the employer's website

    Apply now

    Apply on the employer's website


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