Project description

We're looking for a self-directed engineer to help build the next generation of agentic systems at a leading global hedge fund. You'll design and build systems that combine LLMs, software engineering, data, search, and domain-specific tools, and help shape how these systems reason, retrieve, and execute in production. This is an opportunity to solve hard engineering problems, work directly with investment professionals, and influence the evolution of a mission-critical platform.

Responsibilities

Designing and building agent workflows, orchestration, and execution frameworks

Building retrieval and knowledge systems across structured and unstructured data

Evaluating and refining agent performance and behavior

Building distributed, production-grade services and APIs (Python/TypeScript, cloud infrastructure)

Evaluating new models, frameworks, and tools for production use

Investigating and resolving complex production issues across the stack

This is a hands-on engineering role. You will prototype ideas, test them, break them, understand why they broke, and turn the useful ones into production systems.

Skills

Must have

7+ years of software engineering experience

Strong Python and .NET skills

Hands-on skills in TypeScript and JavaScript

Solid CS fundamentals, including DSA

A track record of building distributed, service-oriented systems

Comfort with concurrent programming, APIs, messaging, and handling failures gracefully

Experience with Docker, containers, cloud infrastructure, and modern deployment practices

Knowledge of how AI agents are designed, including architecture, orchestration, and memory

Familiarity with retrieval and grounding techniques such as RAG, embeddings, and hybrid search

An understanding of how to evaluate, monitor, and improve agent behavior over time

A grasp of planning, tool and model selection, and sandboxed execution

An understanding of statistics and ML basics: how models, embeddings, inference, and evaluation work, and where probabilistic systems fall short. No ML research background needed.

Nice to have

Production experience with LLM or agent systems

Hands-on work with search, retrieval, and knowledge-representation technologies such as vector databases and knowledge graphs

Experience with distributed and event-driven infrastructure, such as Kubernetes and messaging platforms

Familiarity with agent evaluation, observability, and secure execution tooling

Familiarity with financial market basics like bonds, yields, options, volatility, and delta, or a willingness to learn them quickly. Deeper knowledge of derivatives, fixed income, credit, convertibles, or quantitative finance is a plus.

Experience with domain-driven design or modeling complex business domains, turning real-world concepts and workflows into clean abstractions, data models, APIs, and agent capabilities

Open-source contributions, ML research, or independent technical projects

Other

Languages

English: C1 Advanced

Seniority

Senior

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Luxoft Benefits*

Global Relocation

●Relocation options **
●Experience in an international environment
●Cross-cultural experience

Recognition and Evaluation

●Feedback culture
●Regular appraisals

Time Off***

●Annual holiday - 20 or 26 days. The duration of the leave depends on the overall seniority
●Occasional leave - 1 or 2 days/ depending on the circumstances
●Child care leave - 2 days or 16 hours per year
●Absence due to force majeure - 2 days or 16 hours per year
●Maternity Leave - 20 weeks
●Parental Leave - 41 weeks
●Paternity Leave - 14 days

Luxoft Training Center

●Expert-led tech courses covering basic to advanced topics
●Internal instructor-led soft skills courses
●Comprehensive in-house self-learning resources for both soft and hard skills
●Access to external self-learning libraries like ProQuest eBook and Udemy for Business
●Cloud Programs: MS Cloud Academy, AWS Partner Academy, Google Cloud Academy
●Custom Learning Programs: upskilling, reskilling, technical mentorship
●Leadership Programs for Managers

Well-being and Work-life Balance

●Multisport card
●Possibility to order Multisport card at the corporate rate for family members
●LuxGood Program: wellbeing seminars, contests, relaxation sessions, yoga sessions, etc.
●One Team Program: Buddy for each New Joiner; seminars, meeting and workplace space to support integration with local community and culture; “Hire me” workshops for partners
●Preferential banking offer
●Preferential car leasing offer
●Cafeteria program discounts for shops, cinema tickets, holiday offers
●Luxoft Social Benefit Fund: sport and recreation benefits, the possibility to receive financial support

Health Care

●Private Healthcare Insurance with unlimited access to specialists
●Full dental support
●Travel Insurance
●Possibility to add private healthcare coverage for family members at the corporate rate
●Life insurance at the corporate rate for employees and family members, including payment of the basic package for the employee by the employer
●Reimbursement for corrective glasses

Company Events and Friendly Environment

●Many fun social activities organized by the Luxoft team offline in your city
●Online entertainment events for whole company and local team events
●A workplace where you’re treated with respect within a multicultural team

Internal Mobility

●Rotation between projects and accounts
●New career opportunities

Self-Learning Library

CSR Projects

*The acquisition of rights to the above benefits depends on the form of cooperation. Benefits apply to those employed under a contract of employment.

**Please note that relocation is not available for all open positions. At Luxoft Poland it is possible to work remotely only from the territory of Poland.

***Options offered by the Polish government.

Remote Poland, Poland

Req. VR-120957

C#/VB.NET

BCM Industry

19/10/2026

Req. VR-120957

Apply for Senior-Principal .NET Engineer in Remote Poland

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