GenAI Platform Engineer - New York - Hybrid (3 Days On-site)

This is a unique opportunity for technically strong hands-on engineering SME to join a cutting-edge platform engineering function, which provides cloud and on-prem infrastructure to front-office developers (quantitative and strat teams). You’ll be at the forefront of cloud-native engineering, working with modern technologies across AWS, On-premise Kubernetes, Python, and data pipelines. If you are passionate about solving hard technical problems, staying current with trends like AI Engineering, and want to make a difference in a globally respected financial institution, this role is for you.

Key Responsibilities

• Architect and develop platform services
• Collaborate with internal infra/platform teams to align capabilities
• Design and implement cost-aware, secure, scalable systems using AWS services and Kubernetes.
• Mentor junior engineers and set best practices.
• Work across organisational boundaries and influence without authority when needed.
• Keep abreast of modern engineering trends, especially in AI/ML infrastructure and cloud-native tooling.

Key Requirements

• 6-12 years of experience in software/data engineering; ideally in platform or infra roles.
• Strong understanding of Generative AI concepts, along with hands-on experience in developing and deploying AI applications in real-world environments.
• Experience with Agentic Solutions and technologies (Langchain, Langraft, Rag-Patterns)
• Deep experience with AWS services (S3, Glue, Kinesis, Lambda, ECS, IAM, KMS, Api Gateway, Step Functions, MSK, Cloudformation etc.)
• Experience with On-Prem Hadoop and Kubernetes.
• Strong programming skills in Python; familiarity with Java is a plus.
• Knowledge of how quantitative or front-office developers operate is a strong plus

If you or someone you know is interested in this position, apply below or reach out to matthew.dobreecarey@caspianone.co.uk

Full Stack Python Developer | Fintech | Full Time

We are seeking a Full Stack Developer for a Global Financial Markets development team with strong experience managing the complete development lifecycle of software applications to support traders and salespeople in their daily business activities. With your analytical and problem-solving skills, you will join a dynamic team and be responsible for managing each stage of development from gathering business requirements to development, testing, deployment, and ongoing maintenance.

Responsibilities

• Manage the entire development process, including gathering business requirements, designing solutions, implementing features, and conducting thorough testing.
• Maintain and enhance existing applications while ensuring high standards of code quality and performance.
• Work closely with cross-functional teams, including product managers, designers, and quality assurance, to deliver solutions that meet business needs.
• Utilize strong analytical skills to troubleshoot issues and optimize system performance.
• Oversee the deployment process and ensure ongoing maintenance and support for applications.
• Provide guidance and mentorship to junior developers, fostering a collaborative and growth-oriented environment.

Requirements

• Over 4 years of professional experience in full stack development with a strong portfolio showcasing developed and completed projects.
• Proficiency in front-end technologies (HTML, CSS, TypeScript) and experience with frameworks such as Angular
• Proficiency in back-end technologies with solid experience in Python
• Experience with relational databases; PostgreSQL is considered an asset.
• Familiarity with version control systems (e.g., Git), agile methodologies, and CI/CD pipelines.
• Experience with cloud technologies, including AWS, Docker, and Kubernetes.
• Exceptional analytical skills and a proactive approach to identifying and resolving issues.
• Strong work ethic, dedication, analytical thinking, and a problem-solving attitude.
• Experience or knowledge in finance or financial markets is an asset.
• AI/GenAI Frameworks (Desirable)

Languages:

• French Speaking (Desired)

If you or someone you know is interested in this position, apply below or reach out to matthew.dobreecarey@caspianone.co.uk

AI QA Engineer – Agentic AI (Greenfield Project)

Poland (6 days/month onsite in Kraków or Warsaw)

B2B Contract/Financial Services

The Opportunity

Join a greenfield Agentic AI project within a financial services environment, working on next-gen systems powered by LLMs and agent-based workflows.

What you’ll be doing:

• Testing agentic AI workflows and applications
• Validating LLM behaviour (prompt injection, state handling, edge cases)
• Writing manual tests (with scope to introduce automation)
• Using offline evaluation frameworks within Google ADK
• Helping shape QA practices in a greenfield setup

What we're looking for:

• Experience testing AI / LLM-based systems
• Understanding of prompt behaviour & limitations
• Ability to design manual or automated test cases
• Comfortable working autonomously in a fast-paced environment

Why apply?

• Work on cutting-edge Agentic AI in finance
• B2B flexibility with modern tech exposure
• High ownership in a greenfield environment

AI Engineer (VP) – Top Investment Bank Location: Glasgow Hybrid: 3 days per week onsite

About the Role

Join a forward-thinking team that’s transforming how AI and cloud-native platforms support front-office trading. We’re hiring a hands-on engineering leader (VP level) to shape the future of our Dart platform, a core infrastructure enabling Quantitative and Strat developers to build next-generation trading solutions.

This is a high-impact role where you’ll work directly with front-office traders and quants to create bespoke Generative AI tools that influence trading performance. If you’re driven by innovation and excited to build something truly original, this is your opportunity to lead from the front.

What You’ll Do

Lead and innovate across hybrid environments, scaling platform capabilities and accelerating AI adoption:

• Architect and develop advanced platform services for AI-powered trading workflows

• Potentially lead a small team of engineers, fostering technical excellence while remaining hands-on

• Collaborate with infrastructure and platform teams to align capabilities and reduce duplication

• Design secure, scalable, and cost-efficient systems using AWS and Kubernetes

• Mentor junior engineers and establish best practices for AI/ML infrastructure

• Influence cross-functional teams and champion modern engineering approaches

• Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling

Tech Stack

• Programming: Python (Java familiarity is a plus)

• Cloud: AWS (S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more)

• On-Prem: Managed Kubernetes Platform, Hadoop ecosystem

Why This Role Stands Out

• Direct Impact: Build AI tools used daily by traders and quants to optimize strategies

• Creative Freedom: Collaborate openly and bring your ideas to life

• Visibility: Play a key role in a small, high-impact team with broad organizational exposure

What We’re Looking For

• 10+ years of experience in software or data engineering, ideally in platform or infrastructure roles

• Strong Python programming skills with a focus on code quality and testing

• Proven experience applying Generative AI in front-office or capital markets environments

• Deep expertise in AWS services including S3, Glue, Kinesis, Lambda, ECS, IAM, KMS, API Gateway, Step Functions, MSK, and CloudFormation

• Passion for hands-on engineering and leading small, agile teams

Nice to Have

• Experience with on-prem Hadoop and Kubernetes

• Familiarity with AWS cost optimization tools

• Understanding of front-office developer workflows in financial services