Project Description:

Our customer is a top-tier investment bank with client assets of hundreds of billions globally.

Reason to join us

What We Offer

Work with cutting-edge financial solutions and high-level financial instruments in a highly professional environment.
Be part of our success story and make a real impact as a member of our team.
Grow your career through technical, business, and soft-skills training opportunities.
Bring your ideas to life in an open-minded environment that encourages creativity and innovation.
Work with great people in a collaborative team where professionalism and having fun go hand in hand.
Stay challenged and engaged by working on exciting software solutions with plenty of opportunities to learn and grow.

Responsibilities

Collaborate with global stakeholders to translate business requirements into scalable, production-ready AI solutions.
Design and build data transformation and ingestion pipelines supporting AI/ML processes.
Deploy and manage production-grade AI/ML models through APIs, microservices, and scalable applications.
Build and optimize AI infrastructure across cloud platforms such as AWS, GCP, and Azure, including containerized environments.
Develop AI/ML solutions for personalization, anomaly detection, intelligent automation, and emerging use cases.
Work closely with Data Scientists, Software Engineers, Product Managers, and business stakeholders to deliver innovative AI solutions.
Ensure AI solutions meet data governance, regulatory, security, and documentation standards.
Monitor, test, troubleshoot, and continuously improve AI/ML models and platforms throughout their lifecycle, working within Agile teams.

Skills

Must have

AI Engineering: Bachelor’s or Master’s degree in AI, Data Science, Computer Science, IT, Software Engineering, or a related field, with at least 3 years of professional experience as an AI Engineer.
Python: Advanced proficiency in Python, including OOP, SOLID principles, data structures, algorithms, and performance optimization. Experience with NumPy, Pandas, Scikit-Learn or similar libraries.
Generative AI & AI Agents: Proven experience with Generative AI, LLMs, AI Agents, RAG, MCP, and multi-agent architectures. Experience with ADK, Dialogflow, or similar platforms is a plus.
Machine Learning: Strong practical knowledge of Machine Learning, including model development, evaluation, deployment, monitoring, and maintenance.
Software Engineering: Solid understanding of software architecture, design patterns, Git, CI/CD, testing, monitoring, and observability. Experience with Java and SQL is a plus.
Cloud & Data: Good knowledge of AWS, GCP, or Azure, with hands-on experience across the data lifecycle, including data engineering, data modeling, preprocessing, feature engineering, and data transformation.
Data Visualization: Experience creating dashboards and visualizations using Tableau or similar tools.
Communication & Collaboration: Excellent communication and storytelling skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders. Ability to work independently and collaboratively in global, cross-functional teams.
Agile: Familiarity with Agile methodologies, user story creation, and requirements documentation.

Compensation: The gross monthly salary range for this position is 23,932 – 27,351 RON, depending on experience and qualifications.

Languages:

English: C1 Advanced

Romanian: C1 Advanced

Location: Bucharest - office attendance - 3 days per week.

We offer numerous benefits such as:

⏰ Flexible work schedule

🧑 Great company culture and friendly environment

🚀 Work within a fast-moving, exciting, and challenging environment

🎓 Talent development ecosystem

👨🏻 💻 Luxoft Training Center services with ad-hoc leadership and technical programs

📚 Knowledge sharing in professional communities

🧠 Meetings for knowledge sharing, celebrations, and brainstorming: your ideas count!

🏆 Regular team-building activities

💸 Variety of discounts for our employees

Python Developer

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