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We are looking for a skilled Software Developer to join our growing team. The ideal candidate is a strong communicator with excellent English skills, capable of managing multiple projects and clients simultaneously while delivering high-quality software solutions.
Portuguese language skills are a plus but not required.
Responsibilities
Collaborate directly with clients to gather requirements and provide technical solutions.
Manage multiple projects and priorities in a fast-paced environment.
Communicate project status, risks, and technical recommendations clearly to stakeholders.
Participate in software architecture, code reviews, and technical planning.
Work closely with cross-functional teams to ensure successful project delivery.
Maintain high standards of code quality, documentation, and security.
Requirements
Technical Skills
Experience in software development using modern programming languages and frameworks.
Experience with APIs, databases, cloud platforms, and version control systems.
Understanding of software architecture, testing, and deployment processes.
Ability to learn new technologies quickly and adapt to changing project requirements.
Communication Skills
Excellent written and spoken English.
Ability to communicate technical concepts clearly to both technical and non-technical stakeholders.
Strong client-facing and relationship management skills.
Professional Skills
Proven ability to handle multiple clients and projects simultaneously.
Strong problem-solving and analytical thinking.
Excellent organizational and time management skills.
Ability to work independently with minimal supervision.
Team-oriented mindset with a proactive approach to challenges.
Preferred Qualifications
Portuguese language proficiency (preferred but not required).
Experience working with international clients and remote teams.
Experience in Agile/Scrum development environments.
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We are looking for a freelancer, B2B contractor, small team, or gamedev studio to develop a technical PoC for a deterministic skill-based competitive gaming platform.
The purpose of the PoC is to demonstrate that the gameplay operates without any element of randomness, under identical conditions for all players, with the ability to replay the session, verify player inputs, and prepare technical evidence materials for a regulatory review process.
The scope includes a simple arena or mini-game built in Unity, preferably using Photon Quantum or an equivalent deterministic architecture, input recording, replay/ghost mode, state/hash logging, a fixed map, fixed rules, no RNG, a demonstrable build, and technical documentation.
Required experience includes Unity, C#, multiplayer systems, deterministic simulation, replay systems, lockstep/rollback architecture, or Photon Quantum/Fusion.
An NDA will be required before sharing the full brief. Full IP assignment for the source code, documentation, and builds will also be required.
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We are a Brazilian IT team building software and IT solutions for clients across the European Union. Our developers are experienced and consistently deliver high-quality work. Because our team is based a few hours behind Central European Time, we are looking for a European-based partner who can be present during EU working hours and ensure communication with our clients stays clear, responsive, and local.
We are looking for an EU-based Client Partner to join us long-term on a B2B basis. You will be our European point of contact — joining client calls, relaying requirements to our team, and making sure projects move forward smoothly within European working hours. Our Brazilian team takes care of the technical delivery; your focus is communication and coordination rather than development.
What we offer
We offer a long-term, stable collaboration rather than a one-off project, giving you the chance to work directly with EU companies as our European representative. You'll enjoy flexible remote work within EU hours, and a B2B partnership with clear, predictable monthly payments.
To apply, please send us a short introduction about yourself and your English level, along with your country and timezone, and your expected monthly B2B rate in EUR.
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wraz ze wspólnikiem prowadzimy kilka projektów/firm i brakuje nam rąk do pracy
szukamy subkontraktorów, zapaleńców, którzy pomogą nam pociągnąć projekty, bo nam nie starcza czasu na rozwój naszych startupów
przykładowe projekty:
wdrożenie platformy o podstawowych funkcjonalnościach typu CRM - budżet 14-20 tys
wdrożenie funkcjonalności na platformie BITRIX i stawianie strony internetowej
postawienie sklepu, podpięcie pod hurtownie - budżet do ustalenia
stworzenie automatyzacji - agent AI dzwoniący i umawiający spotkania z potencjalnymi klientami, panel do zarządzania rozmowami - budżet do ustalenia
postawienie strony wizytówki dla firmy
mamy też bardziej złożone projekty fullstackowe, używające AI, RAG, chatboty AI, itp
potrzebny nam ktoś, kto mocno używa AI do pisania kodu, wie jak zoptymalizować agenta do tworzenia jakościowego kodu, ale też ma kilka lat doświadczenia w pisaniu kodu produkcyjnego dla klientów
musisz być ogarniętym developerem fullstackowym, backend, frontend, bazy danych, SQL, serwery, docker, nie powinny być dla Ciebie czymś nowym, mieć dobrą znajomość woocommerce/wordpress, bądź shopify, przynajmniej jednego backendowego i frontendowego frameworka (np. nodejs/react), powinieneś mieć styczność z pisaniem aplikacji używających AI - tworzenie chatbotów, automatyzacji, RAGów
jednym słowem szukam trochę człowieka orkiestra, nie musisz znać wszystkiego perfect, pomożemy Tobie technicznie w tych projektach
wynagrodzenie do ustalenia indywidualnie z potencjalnymi kandydatami :)
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We're looking for an experienced ML/MLOps engineer to design and deploy an inference pipeline that generates high-quality AI images from text prompts. The goal is a reliable, production-ready system we can call via API to produce images at consistent quality, with reasonable latency and cost.
Scope of Work
- Select and deploy a state-of-the-art text-to-image model (e.g., FLUX, Stable Diffusion 3.5 / SDXL, or your recommendation based on our needs)
- Build a clean inference API (REST endpoint) that accepts a prompt and parameters and returns generated images
- Optimize output quality: schedulers/samplers, refiners, and upscaling where appropriate
- Set up GPU-backed deployment
- Optimize for latency, throughput, and cost; implement queueing/batching if needed
- Provide documentation covering setup, API usage, parameters, and how to update or swap models
Required Skills
- Strong experience with diffusion models and image-generation inference
- Python + PyTorch; familiarity with Hugging Face Diffusers
- GPU deployment and serving experience (containers, autoscaling, cold-start handling)
- API development and basic security (auth, rate limiting)
Nice to Have
- Experience with LoRA, ControlNet, IP-Adapter, or fine-tuning
- Prompt engineering and quality benchmarking
- Cost-optimization on serverless GPU platforms
Deliverables
- Deployed, documented inference endpoint
- Source code in a repository we own
- Brief handoff doc or call
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I have an unfinished java springboot application there a multiple (small) things that need to be fixed. For instance I want to implement syslog to /dev/log (dgram is (not yet) supported in java springboot)
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This project proposes a Terminal-Bench task focused on financial operations and spreadsheet automation rather than traditional software engineering. The agent is provided with a collection of Excel workbooks containing transaction records, account summaries, and reconciliation reports that contain multiple inconsistencies introduced during data processing.
The objective is to identify and repair discrepancies between transaction-level data and account-level summaries using command-line tools and available spreadsheet-processing libraries. The agent must analyze workbook contents, detect missing or duplicated entries, correct formula errors, update derived calculations, and ensure that final balances match across all reports.
The task is designed to reflect realistic accounting and finance workflows that organizations routinely perform. Success is verified programmatically through independent tests that validate balance consistency, formula correctness, reconciliation accuracy, and preservation of non-target workbook content.
Unlike common coding benchmarks, this task emphasizes data integrity, spreadsheet manipulation, financial reasoning, and careful handling of structured business documents. The challenge requires the agent to inspect existing files, understand relationships between multiple worksheets, apply targeted corrections, and produce a fully reconciled set of outputs without modifying verification artifacts.
The environment is fully self-contained and offline, with all required datasets included inside the task package. Automated tests verify that reconciliation rules are satisfied while ensuring that agents cannot bypass validation through hardcoded outputs or direct modification of test files.
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We are looking for a Data Scientist to join our Revenue Operations team. You will be responsible for building and maintaining machine learning models that directly impact our bottom line. The primary focus of this role is to enhance our B2B sales efficiency by developing predictive models that score and prioritize leads.
If you have a track record of using Python and SQL to turn raw CRM data into a tactical asset for sales reps, we want to hear from you.
Key Responsibilities
Model Development: Design, build, and deploy lead scoring models to identify which prospects have the highest probability of conversion.
Algorithm Selection: Utilize classification algorithms (specifically Logistic Regression and Random Forest) to predict customer behavior.
Data Engineering: Write complex SQL queries to extract, clean, and aggregate B2B sales data from our data warehouse and CRM.
Feature Engineering: Transform raw sales interaction data (email opens, clicks, website visits, firmographics) into meaningful features that improve model accuracy.
Performance Tuning: Monitor model performance, retrain models as needed, and maintain a target accuracy of 80%+ to ensure sales confidence.
Stakeholder Collaboration: Work directly with the B2B sales team to integrate model predictions into their daily workflow (e.g., Salesforce/Pipedrive/HubSpot).
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Build a sandbox with dockerfile where coding AI agents will be trained with proper rubrics