Principal Software Engineer - Data and AI - Accelerator Business

Hackajob Ltd
London, UK
3 days ago
Apply on www.totaljobs.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Amazon S3 Microsoft Azure Cloud Computing Continuous Integration Distributed Systems Python (Programming Language) Machine Learning Performance Tuning Systems Architecture
+8 more
Strategies of Testing Large Language Models Generative AI Kubernetes Infrastructure Automation Frameworks Software Version Control Docker Microservices

Job description

  • Design and develop scalable, self-service solutions for documentation, SDKs, configurations and pipelines to enable rapid deployment of GenAI applications (including Retrieval-Augmented Generation (RAG) pipelines) and agents with planning, memory, and workflow orchestration
  • Implement tools and frameworks for model versioning, experiment tracking, and lifecycle management
  • Develop systems to monitor model performance and address data and model drift
  • Recommend best practices for model integration and deployment patterns
  • Design and implement effective testing strategies, including unit, component, integration, end-to-end, performance, and champion/challenger tests, establish output validation best practices, recommendations and guardrails to reduce hallucinations.
  • Ensure platform compliance with data privacy, security, and regulatory standards
  • Mentor team members on platform design principles and best practices
  • Guide colleagues on coding practices, design principles, and implementation patterns for high-quality, maintainable solutions
  • Deploy scalable AI services to cloud infrastructure, ensuring monitoring, and observability for agent performance.
  • Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing, metrics, and feedback loops to continuously improve reliability and utility., Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Requirements

  • Demonstrate proficiency in Java and/or Python programming languages
  • Deployed production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain
  • Utilized cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/orchestration tools (Docker, Kubernetes) to operate, support, and secure mission-critical applications
  • Previous experience deploying and managing LLM-model based applications and agents
  • Exposure to vector stores such as Pinecone, GCP RAG engine, and AWS S3 Vector Buckets
  • Exposure to cloud-native microservices architecture
  • Familiarity with advanced AI/ML concepts and protocols, including Retrieval-Augmented Generation (RAG), agentic system architectures, and Model Context Protocol (MCP)
  • Hands-on experience with agentic frameworks (LangChain, CrewAI, AutoGen, LangGraph, ADK).
  • Strong communication skills for both technical and non-technical audiences., * Experience working in highly regulated environments or industries
  • Experience with distributed computing, data sharding, and performance optimization.
  • Demonstrated experience in financial services, particularly retail banking operations.

About the company

Out of the successful launch of Chase in 2021, we’re a new team, with a new mission. We’re creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We’re people-first. We value collaboration, curiosity and commitment.

As a Principal Software Engineer - Applied AI ML Director at JPMorganChase within the Accelerator Business, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solution-oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects - and depending on your strengths and interests, you’ll have the opportunity to move between them.

While we’re looking for professional skills, culture is just as important to us. We understand that everyone’s unique - and that diversity of thought, experience and background is what makes a good team, great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there’s scope for you to make a huge difference - on us as a company, and on our clients and business partners around the world., J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.totaljobs.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

3:43 min

The enduring legacy of the amazon S3 storage API

Chris Heilmann +3 · LIVE

2:28 min

Understanding Kubernetes architecture and core cluster components

Marc Nimmerrichter · World Congress 2022

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:34 min

Docker sandbox architecture and microVM environment integration

Manuel de la Peña Manuel de la Peña · World Congress 2026 Europe

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

Videos

See all

Related articles

See all