AI Agentic Engineer

We are looking for an experiencedSenior AI Agentic Engineer with a passion for AI-driven products, agentic systems, and enterprise software architecture to join our client’s growing technology team. The Senior AI Agentic Engineer will lead the design and evolution of a production-grade AI agent platform, define the technical architecture and product direction, and collaborate with cross-functional teams to deliver intelligent, scalable solutions that drive automation and innovation within the financial services sector.

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Our client is an award-winning Banking and Investment Management software provider. The company has a presence in 45 countries and offices in key financial centers, where it provides its innovative technology solutions to well-known global financial organizations and FinTech’s.

Key Responsibilities

1. Agentic architecture and engineering

• Own the architecture of the Group’s agentic platform: orchestration patterns (supervisor / sub-agent), agent decomposition, tool-calling design, memory and state management, error handling and human-in-the-loop integration.
• Lead implementation across the agent framework stack - LangGraph, LangChain or equivalent - with a strong opinion on framework choice and lifecycle.
• Design integration patterns with our systems of record, with primary focus on read-side integration via the SQL / T-SQL output layer.
• Define and operate the evaluation layer - golden datasets, regression suites, agent-level metrics and human review workflows for non-deterministic outputs.
• Own the observability and tracing stack (Langfuse, CloudWatch) and the runtime quality, latency and cost envelope of the platform.

2. Team leadership and capability build

• Lead the in-house agentic engineering team (Agent Developer, Data Engineer) with technical mentorship, code review.
• Manage the relationship with our external delivery partner during the PoC phase; define the transition plan from external-led delivery to internal ownership of core capability.

3. Use case delivery and commercialisation

• Partner with our operations team and with Group commercial leads to convert client demand (process automation, reconciliation, exception handling, communications) into deployed agents.
• Translate operational process descriptions into agent designs - including with input from Business Analysts and operations subject-matter experts.
• Own production readiness: SLOs, security review, regulatory alignment (DORA, MiFID II, GDPR, NIS2), and acceptance criteria for client-facing pilots.

4. Cross-functional engagement

• Work alongside the ProfileOne Product Manager on the architectural separation between unifying layer and agentic platform.
• Partner with the AWS infrastructure / DevOps function on production deployment, scaling and security hardening.
• Represent the agentic platform in client technical discussions, internal SteerCo updates and Group-level architectural reviews.

Required Qualifications

• 8+ years in software engineering, including 3+ years actively building production systems on top of LLMs or agentic frameworks (not only experimentation or prototyping).
• Strong experience in the banking and wealth management domain, with understanding of financial products, investment workflows, portfolio management, client servicing, and the operational and regulatory constraints of financial institutions.
• Hands-on, recent experience with at least one agentic framework - LangGraph, LangChain, AutoGen, CrewAI, or comparable - including supervisor / multi-agent patterns.
• Strong AWS engineering background (Bedrock, Lambda, S3, IAM, CloudWatch); production operating experience on AWS-native AI/ML stacks.
• Demonstrated experience designing evaluation frameworks for non-deterministic AI outputs: golden datasets, regression testing, human review workflows, agent-level metrics.

Nice-to-Have Skills

• Familiarity with Python and modern backend frameworks for developing AI-powered services and APIs.
• Experience with CI/CD pipelines, Infrastructure as Code (IaC), and containerization technologies such as Docker and Kubernetes.
• Knowledge of prompt engineering, model optimization techniques, and AI governance best practices for enterprise environments.

What They Offer

• Competitive and performance-based remuneration.
• Meal Vouchers.
• Medical & Life Insurance Plan.
• New experiences within a multinational environment and global teams.
• Team spirit environment with passion for technology.
• Development opportunities within a market-leading, fast-growing organization!