AI Engineer (f/m/d) - with strong skills in Python + Hands-on experience in agentic AI system design and orchestration - IMMEDIATE JOINERS

Luxoft; Zürich; Vor Ort; CHF 150.000 - 210.000; Vollzeit

Zusammenfassung

Luxoft is seeking an AI Agentic Developer to implement solutions within a Tier-1 wealth management bank in the Agentic Products Team. You will work with the latest AI technologies to deliver agent-driven value in a collaborative, learning-focused environment.

You will develop production-grade LLM capabilities, integrate AI services with enterprise platforms, and craft robust prompts. The role requires strong Python skills and hands-on orchestration, in a setting that emphasizes rapid adaptation

Qualifikationen

• Proficient in Python for AI workflows.
• Experience with Git and GitLab CI/CD in a team.
• Hands-on agentic AI system design and orchestration.
• Strong prompt engineering for reliable LLM outputs.
• Understanding of A2A orchestration principles.
• Ability to translate business requirements into technical specs.
• Comfort with rapid changes and evolving tech stacks.
• Experience with Azure cloud / Kubernetes setup.
• Data transformation and reusable components.

Aufgaben

• Develop production-grade LLM and agentic capabilities, including prompts, model configuration, guardrails, and monitoring.
• Integrate AI services with enterprise platforms and support approval, documentation, and operational readiness.
• Demonstrate problem-solving ability with logical reasoning.
• Design and develop reusable agentic AI workflows with LangGraph and LLMs.
• Craft and refine clear prompts for diverse tasks.
• Use Git for version control and GitLab CI/CD to automate build, test, and deployment pipelines.

Kenntnisse

Python proficiency

Git/GitLab CI/CD

Agentic AI design

Prompt engineering

A2A orchestration

Business requirements to tech specs

Adaptability

Azure/Kubernetes setup

Data transformation & reusable comps

Tools

Git

GitLab CI/CD

Azure

Kubernetes

Jobbeschreibung

We are seeking a skilled AI Agentic Developer in implementing solutions within financial institutions.

You’ll work inside a Tier‑1 wealth management bank in the Agentic Products Team. Our team leverages the latest AI technologies to deliver value-driven solutions and agents. As an AI Engineer, you’ll play a key role in driving innovation and shaping the future of agents.

We’re a team that values collaboration, creativity, and continuous learning.

Responsibilities

• Develop production-grade LLM and agentic capabilities, covering prompt and model configuration, evaluation, guardrails and monitoring.
• Integrate AI services with enterprise platforms and support approval, documentation and operational readiness
• Problem-solving ability with logical reasoning
• Design and develop reusable agentic AI workflows with LangGraph and LLMs
• Craft and refine clear, effective prompts for diverse tasks.
• Use Git for version control and GitLab CI/CD to automate build, test, and deployment pipelines.

Skills

Must have

• Strong proficiency in Python
• Practical experience with Git and GitLab CI/CD in a team environment.
• Hands-on experience in agentic AI system design and orchestration.
• Good prompt engineering skills for LLM control and output reliability
• Solid understanding of A2A orchestration principles.
• Able to understand the business requirements and convert into tech specifications.
• Ready to work in a rapidly changing environment.
• Azure cloud, Kubernetes setup, or experience configuring them.
• Handle data transformation and reusable components.

Nice to have skills

• Working experience with Endur (trading system) and SCILA (survelliance)
• Knowledge of EMIR and other European transaction/regulatory reporting regimes, particularly where experience is transferable to REMIT.
• Understanding of REMIT reporting processes, data requirements and interaction with Registered Reporting Mechanisms (RRMs) and ACER.
• Experience with market surveillance, market abuse controls and regulatory reporting controls within commodities/energy trading.
• Previous involvement in regulatory remediation following an internal audit, compliance review or regulatory assessment.
• Experience working within Switzerland and/or supporting European organisations with cross-border operations.