AI Agentic Engineer

We are the 1st Hub for Developers! Our motto is “From Developers to Developers”! Our vision is to provide real career opportunities for candidates that want to take the next step in their career. Code.Career is the first process that you will speak with developers (only!) and tech (freak) experts! 

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!