Software Engineer (m/f)

About us
PAID MNE is a deeptech fintech company from Podgorica building PAIDT - a context-aware, adaptive AI system for financial markets, focused on real-time risk management and trading decision support. This is not a concept-stage startup:

• Our system manages €1.1M in live capital across proprietary trading firm accounts
• We are two-time recipients of competitive EuroHPC access awards to one of Europe's most powerful supercomputers, where we've run 5+ million trading simulations
• Our simulation methodology is documented in a peer-reviewed publication (IEEE)
• We hold official Innovation Activity status from the Ministry of Education, Science and Innovation of Montenegro

We are now building PAIDT v5- the next generation of the system: an AI-driven risk overlay, a contextual trading intelligence suite with an embeddable API layer, and an integrated AI risk & trading co-pilot - taking the platform from a validated internal engine to a commercial, institution-grade product.

The role
We're expanding our core team with a Software Engineer - someone who can own the software stack end-to-end: from AI/ML models and core algorithms, through backend services and data pipelines, to production APIs and integrations. You'll work directly with the CTO and the scientific lead, and as the team grows you'll be expected to set engineering standards, review code, and mentor the developers around you.

What you'll do:

• Design, build, and own core components of PAIDT v5: the adaptive AI core, signal engine, risk overlay modules, and the RESTful Embedded AI Layer for integration with client platforms (OMS/EMS, trading platforms, banking apps)
• Implement, test, and productionize ML modelsfor financial time series - from prototype to validated, deployed model
• Develop and maintain Python backend services (FastAPI microservices) and the data pipeline for high-frequency OHLC market data - acquisition, cleaning, storage, integrity
• Run and optimize large-scale backtesting and parameter-optimization workloads on our supercomputing infrastructure
• Integrate with trading infrastructure: MetaTrader 4/5, TradingView, Darwinex
• Establish engineering practices: testing, CI/CD, documentation, code review
• Contribute to architectural decisions and, over time, lead the development team

Must-have:

• Excellent Python - this is the core of everything we do (5+ years or demonstrably equivalent depth)
• Hands-on machine learning experience - you've trained, evaluated, and shipped models in practice (TensorFlow/Keras or PyTorch), not just followed tutorials
• Strong grounding in algorithms and data structures - you can reason about complexity and write performant code, not just working code
• Solid mathematical background - statistics, probability, time-series analysis; you're comfortable reading a quantitative spec and turning it into correct code
• Understanding of software architecture - modular design, APIs, microservices, and the trade-offs between them
• Ability to work independently and take ownership - you'll often be the one who decides how
• English (working proficiency); B/H/S/M for daily communication

Nice-to-have:

• Trading experience - crypto, forex, commodities, or equities; retail or professional; understanding of price action, order execution, spreads, slippage
• Deep learning for time series - recurrent architectures (LSTM/GRU) or Transformers
• Fluency with  AI-assisted development tools (Claude Code, Copilot, Cursor or similar) - we expect modern tooling to be part of how you work, not a novelty
• HPC or large-scale parallel computing experience (SLURM, MPI), or strong Linux/CLI skills
• Cloud infrastructure (GCP or similar), Docker, CI/CD pipelines
• SQL/NoSQL databases

What we offer:

• A rare setup: a compact team, real capital on the line, supercomputing resources at your disposal, and an EU-grade R&D agenda
• Direct collaboration with a CTO and scientific lead with published HPC/AI research
• Opportunity to co-author research publications
• Competitive salary aligned with seniority
• Clear growth path to technical leadership as the team scales
• Modern hardware and tooling (including dedicated NVIDIA AI hardware planned for local model training)

How to apply: Send your CV and -more importantly anything that shows how you think: a GitHub profile, a project you're proud of, a trading bot you hacked together at 2am. Write to: info@paid-t.com  using the option KONKURIŠITE NA OGLAS with the subject " Software Engineer"
 
Only candidates selected for the next stage of the recruitment process will be contacted



 
O nama

PAID MNE je deeptech fintech kompanija iz Podgorice koja razvija PAIDT kontekstualno svjestan, adaptivan AI sistem za finansijska tržišta, fokusiran na upravljanje rizikom i podršku trgovačkom odlučivanju u realnom vremenu. Nismo startap u fazi ideje:

• Naš sistem upravlja kapitalom od 1,1 milion eurana nalozima proprietary trading kompanija
• Dva puta smo dobili kompetitivni EuroHPC pristup jednom od najmoćnijih evropskih superkompjutera, na kojem smo izvršili preko 5 miliona simulacija trgovanja
• Naša metodologija simulacija objavljena je u recenziranom naučnom radu (IEEE)
• Nosioci smo zvaničnog statusa inovacione djelatnosti Ministarstva prosvjete, nauke i inovacija Crne Gore
• Trenutno gradimo PAIDT v5 - novu generaciju sistema: AI sloj za napredni nadzor rizika, paket za podršku u trgovanju sa integrabilnim API slojem, i integrisani AI kopilot za rizik i trgovanje.

Pozicija
Proširujemo naš tim pozicijom Software Engineer - tražimo osobu koja može da preuzme vlasništvo nad kompletnim softverskim stack-om, end-to-end: od AI/ML modela i ključnih algoritama, preko backend servisa i data pipeline-a, do produkcionih API-ja i integracija. Radićeš direktno sa CTO-om i naučnim rukovodiocem, a kako tim bude rastao, očekujemo da postavljaš inženjerske standarde, radiš code review i mentorišeš developere oko sebe.

Šta ćeš raditi:

• Dizajnirati, razvijati i održavati ključne komponente PAIDT v5 sistema: adaptivno AI jezgro, signal engine, module za nadzor rizika i RESTful Embedded AI Layer za integraciju sa platformama klijenata
• Implementirati, testirati i puštati u produkciju ML modele za finansijske vremenske serije - od prototipa do validiranog modela u produkciji
• Razvijati Python backend servise (FastAPI mikroservisi) i data pipeline za visokofrekventne OHLC tržišne podatke
• Pokretati i optimizovati velike backtesting i optimizacione poslove na našoj superračunarskoj infrastrukturi
• Raditi integracije sa trading infrastrukturom: MetaTrader 4/5, TradingView, Darwinex
• Uspostavljati inženjerske prakse: testiranje, CI/CD, dokumentacija, code review
• Učestvovati u arhitektonskim odlukama i vremenom voditi razvojni tim

Obavezno:

• Odlično poznavanje Python-a - jezgro svega što radimo (5+ godina ili dokazivo ekvivalentna dubina)
• Praktično iskustvo sa mašinskim učenjem-  treniranje, evaluacija i isporuka modela u praksi (TensorFlow/Keras ili PyTorch), ne samo tutorijali
• Jaka osnova iz algoritama i struktura podataka - pišeš performantan kod, ne samo kod koji radi
• Solidan matematički background - statistika, vjerovatnoća, analiza vremenskih serija
• Razumijevanje softverske arhitekture - modularni dizajn, API-ji, mikroservisi i njihovi trade-off-ovi
• Samostalnost i preuzimanje odgovornosti  - često ćeš ti odlučivati - kako
• Engleski jezik (radni nivo)

Poželjno:

• Iskustvo sa trgovanjem -  kripto, forex, robe ili akcije; razumijevanje price action-a, izvršenja naloga, spread-ova, slippage-a
• Deep learning za vremenske serije - rekurentne arhitekture (LSTM/GRU) ili Transformeri
• Iskustvo sa AI alatima za razvoj (Claude Code, Copilot, Cursor ili slično) — moderni tooling je dio načina na koji radimo
• HPC ili iskustvo sa paralelnim računanjem velikih razmjera (SLURM, MPI), ili jake Linux/CLI vještine
• Cloud infrastruktura (GCP ili slično), Docker, CI/CD
• SQL/NoSQL baze podataka

Šta nudimo:

• Rijetku kombinaciju: mali tim, stvaran kapital u igri, superračunarske resurse na raspolaganju i R&D agendu evropskog nivoa
• Direktnu saradnju sa CTO-om i naučnim rukovodiocem sa objavljenim HPC/AI istraživanjima
• Priliku za koautorstvo na naučnim publikacijama
• Konkurentnu platu u skladu sa iskustvom
• Jasan put ka poziciji tehničkog lidera kako tim raste
• Moderan hardver i alate (uključujući planirani namjenski NVIDIA AI hardver za lokalno treniranje modela)

Kako se prijaviti: Pošalji CV i  još važnije nešto što pokazuje kako razmišljaš: GitHub profil, projekat na koji si ponosan/na, trading bot koji si napravio/la u 2 ujutru. Piši na info@paid-t.com 
ili putem opcije KONKURIŠITE NA OGLAS sa naslovom Software Engineer.
 
Kontaktiraćemo samo kandidate koji uđu u uži krug selekcije.