Senior Consultant - Agentic AI Engineer

Project info:

Ready to shape the future of AI in finance? We’re looking for a talented Senior Consultant - Agentic AI Engineer to join one of the world's most renowned banking brands. Serving over 100 million customers across diverse businesses, you'll be a key player on a dynamic, remote team spanning the UK and Spain.

This project governs the large-scale legacy migration and modernization of data infrastructure. The primary objective is to convert their legacy Ab Initio ETL (Extract, Transform, Load) platform to a modern, cloud-native AWS Glue and PySpark environment. To accelerate this migration and optimize code generation, the team will leverage advanced generative AI patterns, specifically incorporating Claude Code and agentic/multi-agent workflows to automate and validate pipeline conversions.

Responsibilities:

• AI & Generative AI Development

Lead LLM Integration: Architect and implement advanced Generative AI solutions, serving as the primary expert for seamless Claude API integration and LLM orchestration.

Build Agentic Workflows: Design and deploy sophisticated agentic AI patterns, enabling autonomous, multi-step AI reasoning and execution within enterprise applications.

End-to-End AI Delivery: Drive the full lifecycle development of complex AI/ML systems, building on a track record of successfully bringing production-grade AI solutions to market.

• Software Engineering & Architecture

Production-Grade Python Coding: Write, test, and optimize highly performant, production-ready code using expert-level Python, applying advanced design patterns and rigorous testing methodologies.

Distributed Systems & Big Data: Architect and maintain distributed systems and microservices, executing large-scale data processing pipelines (managing 1,000+ jobs) utilizing PySpark and distributed computing frameworks.

System Resilience: Implement robust error handling, comprehensive monitoring, and resilience protocols to ensure the continuous, reliable operation of high-availability AI systems.

Complex Debugging: Act as the ultimate escalation point for complex technical challenges, applying deep debugging expertise to resolve system issues efficiently.

• Leadership & Team Collaboration

Technical Leadership: Lead, direct, and mentor AI/ML engineering teams, setting quality standards and fostering a culture of technical excellence.

Project Delivery: Oversee technical project execution, ensuring milestones are met on time and within strict quality standards, even under pressure.

Documentation & Communication: Produce clear, comprehensive technical documentation and communicate complex architectural decisions to both technical teams and wider stakeholders.

Cross-Functional Collaboration: Operate as a highly collaborative team player, aligning engineering efforts with broader business and product goals.

Job requirements:

• 8+ years in software engineering and AI/ML development
• 5+ years with generative AI, LLMs, or Claude API (hands-on development)
• 4+ years leading AI/ML engineering teams or projects
• Expert-level Python development (production-grade code)
• 3+ years with PySpark and distributed computing

Technical Expertise:

• Expert-level Claude API integration and LLM development
• Deep expertise in agentic AI patterns and orchestration
• Strong Python development skills (design patterns, testing, optimization)
• Experience with distributed systems and microservices
• Understanding of error handling, resilience, and monitoring

Project Experience:

• Led development of at least 2 production AI/ML systems
• Experience with large-scale data processing (1,000+ jobs or equivalent)
• Track record of delivering on-time and within quality standards

Leadership & Soft Skills:

• Proven ability to mentor junior engineers
• Strong communication and documentation skills
• Problem-solving and debugging expertise
• Ability to work under pressure and meet deadlines
• Collaborative team player

Benefits:

General benefits:

• Remote work model
• Referral program with financial bonus
• Budget for development (including language courses and others), clear career path with the possibility to gain experience in international environment
• Access to internal Learning Platform with multiple trainings oriented for professional growth

Lifestyle benefits:

• Team Building activities
• Charity initiatives
• Working environment promoting diversity and inclusion