Provectus

Solutions Engineer

• Lead complex, high-impact customer engagements focused on AWS Data Platform solutions.
• Architect and design scalable data platforms using AWS, ensuring optimal performance, reliability, security, and cost efficiency.
• Collaborate with the sales team during the pre-sales process by providing technical expertise to position AWS-based data solutions effectively.
• Build and maintain strong relationships with key customer stakeholders, serving as a trusted advisor on data platform initiatives.
• Oversee the end-to-end implementation of AWS-based data platforms, coordinating with engineering teams to ensure successful delivery.
• Stay abreast of the latest developments in AWS, Databricks, data engineering, and cloud technologies.
• Mentor junior architects and engineers, fostering a culture of continuous learning and professional development.

Senior Data Solutions Architect, AWS

Frontend Engineer

• Develop well-structured, testable, and efficient code using modern software engineering practices
• Collaborate closely with product owners, designers, and fellow engineers to deliver high-quality features
• Take ownership of deliverables while working in a small agile team (4–5 developers)
• Optimize performance and maintain clean architecture in both frontend and backend components.
• Build and maintain RESTful APIs and services deployed on AWS (Lambda, ECS, S3)
• Participate in code reviews, ensuring quality, maintainability, and consistency across projects
• Implement unit and integration testing strategies (Jest, Vitest)
• Contribute to team documentation, reusable libraries, and coding standards
• Stay up to date with the latest web and cloud technologies (TypeScript ecosystem, AWS, AI-assisted development)

Senior Full-Stack Engineer, TypeScript, React, Node, AWS

Data Engineer

• Collaborate closely with clients to deeply understand their existing IT environments, applications, business requirements, and digital transformation goals;
• Collect and manage large volumes of varied data sets;
• Work directly with ML Engineers to create robust and resilient data pipelines that feed Data Products;
• Define data models that integrate disparate data across the organization;
• Design, implement, and maintain ETL/ELT data pipelines;
• Perform data transformations using tools such as Spark, Trino, and AWS Athena to handle large volumes of data efficiently;
• Develop, continuously test, and deploy Data API Products with Python and frameworks like Flask or FastAPI.

Senior Data Engineer, AWS

Chief Technology Officer

• Provide hands-on technical guidance and ensure best practices in architecture, coding, and design.
• Collaborate closely with clients to understand IT environments, business needs, and digital transformation goals.
• Take ownership of project outcomes, ensuring timely delivery and alignment with client expectations.
• Proactively identify risks, challenges, and opportunities for improvement, and drive solutions forward.
• Work directly with ML Engineers to create resilient data pipelines powering Data Products.
• Define data models to integrate disparate data across organizations.
• Design, implement, and maintain ETL/ELT pipelines using modern tools.
• Perform large-scale data transformations with **Spark, Trino, AWS Athena**.
• Develop, test, and deploy Data API Products with **Python** and frameworks like **Flask/FastAPI**.

Lead Data Tech

Product Designer

• Lead the end-to-end design process across mobile and web platforms — from discovery and ideation to high-fidelity design and handoff.
• Use AI-powered design tools to accelerate workflows and improve quality and consistency.
• Collaborate with cross-functional teams — product managers, engineers, and AI specialists — to craft solutions that are both human-centered and technically feasible.
• Facilitate workshops and discovery sessions to align teams and stakeholders around shared goals.
• Drive clarity through ambiguity, helping your team navigate complex problem spaces and shape direction with confidence.
• Deliver pixel-perfect interfaces and seamless user experiences, maintaining a high visual and interaction design standard.
• Communicate design decisions effectively and ensure stakeholder alignment on the product vision and priorities.

Senior Product Designer

Backend Engineer

• Develop and maintain scalable Python applications;
• Build and optimize RESTful APIs and servers using frameworks such as FastAPI, Django REST, or Flask.
• Design and implement chatbot applications using generative AI technologies.
• Implement and optimize Retrieval Augmented Generation (RAG) systems.
• Profile and optimize Python code to enhance performance.
• Collaborate with cross-functional teams, including ML engineers and product managers, to deliver high-quality products.
• Write clean, maintainable, and well-documented code.
• Stay updated with the latest developments in Python and AI technologies and propose innovative solutions.

Senior Python Developer

People Operations

• Partner with hiring managers to define recruitment needs, create job descriptions, and craft talent strategies that align with business goals;
• Manage full-cycle recruitment processes, including sourcing, interviewing, and extending offers across Latam (mainly - Colombia and Costa Rica) and North America (the USA and Canada);
• Ensure an excellent candidate experience, representing the company’s values throughout the recruitment process;
• Actively build talent pipelines through direct sourcing and networking across industry channels, including fostering relationships with universities and other key institutions;
• Use data-driven insights to improve the recruitment process and provide market intelligence that informs workforce planning.
• Act as a key point of contact for employees, guiding them on HR policies, procedures, and employee relations issues;
• Assist managers with setting goals, conducting performance reviews, and ensuring participation in HR-related processes for all dedicated headcounts;
• Oversee HR compliance, ensuring adherence to relevant laws and regulations, including support for audits related to SOC, ISO, and other standards;
• Support employee development programs by helping managers and employees identify growth opportunities, career paths, and learning goals;
• Regularly communicate with employees (through 1:1s, team meetings, etc.), ensuring that all personnel are supported and engaged in their roles;
• Monitor trends in employee retention and collaborate with teams to propose solutions for improving the employee experience and reducing attrition.

People & Talent Partner

Full-stack Engineer

• Develop and maintain OTT applications across Roku OS, webOS, Tizen OS, Fire OS, tvOS, and Android TV.
• Build and optimize video playback experience (live/on-demand).
• Ensure app compliance with store guidelines, certification, and performance requirements.
• Integrate with REST APIs, and analytics/telemetry tools.
• Collaborate with product/design/backend teams; lead code reviews and mentor peers.

Senior OTT Software Engineer

• Act as a key point of contact for employees across the USA, Canada, and Latam (mainly Colombia and Costa Rica), guiding them on HR policies, procedures, and employee relations issues.
• Assist managers with setting goals, conducting performance reviews, and ensuring participation in HR-related processes for all dedicated headcounts.
• Oversee HR compliance, ensuring adherence to relevant laws and regulations, including support for audits related to SOC, ISO, and other standards.
• Support employee development programs by helping managers and employees identify growth opportunities, career paths, and learning goals.
• Regularly communicate with employees (through 1:1s, team meetings, etc.), ensuring that all personnel are supported and engaged in their roles.
• Facilitate benefits for the dedicated headcount and organize team-building activities and happy hours.
• Partner with managers to drive engagement initiatives, support employee feedback mechanisms (surveys, pulse checks), monitor retention trends, and collaborate on solutions to reduce attrition.

People Partner / HRBP

• Act as a key point of contact for employees across the USA, Canada, and Latam (mainly Colombia and Costa Rica), guiding them on HR policies, procedures, and employee relations issues.
• Assist managers with setting goals, conducting performance reviews, and ensuring participation in HR-related processes for all dedicated headcounts.
• Oversee HR compliance, ensuring adherence to relevant laws and regulations, including support for audits related to SOC, ISO, and other standards.
• Support employee development programs by helping managers and employees identify growth opportunities, career paths, and learning goals.
• Regularly communicate with employees (through 1:1s, team meetings, etc.), ensuring that all personnel are supported and engaged in their roles.
• Facilitate benefits for the dedicated headcount.
• Organize team-building activities and happy hours.
• Partner with managers to drive engagement initiatives, ensuring alignment with company values and a focus on employee well-being.
• Support initiatives around employee feedback, ensuring surveys, pulse checks, and continuous feedback mechanisms are in place.
• Monitor trends in employee retention and collaborate with teams to propose solutions for improving the employee experience and reducing attrition.

• Act as a key point of contact for employees across the USA, Canada, and LATAM (mainly Colombia and Costa Rica), guiding them on HR policies, procedures, and employee relations issues.
• Assist managers with setting goals, conducting performance reviews, and ensuring participation in HR-related processes for dedicated headcounts.
• Oversee HR compliance and support audits related to SOC, ISO, and other standards.
• Support employee development programs by helping managers and employees identify growth opportunities, career paths, and learning goals.
• Regularly communicate with employees via 1:1s and team meetings to ensure support and engagement.
• Facilitate benefits for the dedicated headcount.
• Organize team-building activities and happy hours.
• Partner with managers to drive engagement initiatives and employee well-being.
• Support employee feedback initiatives including surveys, pulse checks, and continuous feedback mechanisms.
• Monitor retention trends and collaborate with teams to propose solutions for improving employee experience and reducing attrition.

Artificial Intelligence

• Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment;
• Drive the roadmap for machine learning projects aligned with business goals;
• Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery;
• Design, develop, and fine-tune LLMs and other machine learning models;
• Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction;
• Stay ahead of advancements in LLMs and apply emerging technologies;
• Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.);
• Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS;
• Ensure best practices in security, monitoring, and compliance within the cloud infrastructure;
• Oversee the entire ML lifecycle, from research and experimentation to production and maintenance;
• Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows;
• Debug, troubleshoot, and optimize production ML models for performance;
• Conduct regular code reviews and ensure engineering standards are upheld;
• Facilitate professional growth and learning for the team through continuous feedback and guidance;
• Communicate progress, challenges, and solutions to stakeholders and senior leadership.

AI/ML Tech Lead, LLMs, AWS

• Develop and maintain scalable Python applications;
• Build and optimize RESTful APIs and servers using frameworks such as FastAPI, Django REST, or Flask.
• Design and implement chatbot applications using generative AI technologies.
• Implement and optimize Retrieval Augmented Generation (RAG) systems.
• Profile and optimize Python code to enhance performance.
• Write well-designed, testable, efficient code by using best software development practices.
• Take full ownership of solution architecture, from initial design to delivery and continuous improvement.
• Proactively identify opportunities to enhance scalability, performance, and cost-effectiveness.
• Collaborate closely with Product manager and engineering team to shape product strategy and to build a user experience to support the business users' needs.
• Act as a trusted advisor within the team of 5, guiding best practices, raising risks early, and ensuring solutions meet both technical and business needs and quality through comprehensive unit tests.
• Write clean, maintainable, and well-documented code.
• Stay updated with the latest developments in Python and AI technologies and propose innovative solutions.

Python Tech Lead, AI

• Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment;
• Drive the roadmap for machine learning projects aligned with business goals;
• Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery;
• Design, develop, and fine-tune LLMs and other machine learning models to solve business problems;
• Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction;
• Stay ahead of advancements in LLMs and apply emerging technologies;
• Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML;
• Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.);
• Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS;
• Ensure best practices in security, monitoring, and compliance within the cloud infrastructure;
• Oversee the entire ML lifecycle, from research and experimentation to production and maintenance;
• Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows;
• Debug, troubleshoot, and optimize production ML models for performance;
• Conduct regular code reviews and ensure engineering standards are upheld;
• Facilitate professional growth and learning for the team through continuous feedback and guidance;
• Communicate progress, challenges, and solutions to stakeholders and senior leadership.

AI/ML Team Lead – Generative AI, LLMs, AWS

• Work in Figma: create wireframes, prototypes, and visual layouts
• Support and contribute to design systems
• Observe and participate in user research, usability testing, and product discussions
• Collaborate with designers and engineers, join team brainstorms and reviews

UX/UI Designer Trainee

Technical Recruiter

• Talent Acquisition Partner with hiring managers to define recruitment needs, create job descriptions, and craft talent strategies that align with business goals;
• Manage full-cycle recruitment processes, including sourcing, interviewing, and extending offers in Wroclaw, particularly, and across Eurose.
• Ensure an excellent candidate experience, representing the company’s values throughout the recruitment process;
• Actively build talent pipelines through direct sourcing and networking across industry channels;
• Partner with managers to drive engagement initiatives to raise brand awareness and represent the company at recruitment and networking events, including fostering relationships with universities;
• Use data-driven insights to improve the recruitment process and provide market intelligence that informs workforce planning.

Talent Acquisition Partner / IT Recruiter

Machine Learning Engineer

• Define and drive the architectural vision for ML and LLM systems that power personalization, intelligent recommendations, and real-time decision-making
• Lead the development of reliable, scalable ML infrastructure for training, inference, monitoring, and lifecycle management
• Establish foundational design patterns and best practices for ML observability, testing, and performance
• Mentor senior and lead engineers, fostering a culture of system ownership, clarity, and innovation
• Build and maintain scalable, secure data and ML infrastructure to support advanced use cases
• Architect robust pipelines for training, evaluation, deployment, and monitoring of ML and LLM models
• Partner with internal delivery, engineering teams, and clients to translate complex problems into scalable ML solutions
• Lead architecture design discussions with C-level client stakeholders, balancing scalability, cost, and performance
• Engage with clients and prospects in presales cycles to understand needs, design tailored ML/AI and Data solutions, and demonstrate technical feasibility
• Collaborate with sales and business development to create proposals, proofs of concept, and technical presentations
• Act as a trusted advisor on Data/ML adoption and infrastructure strategy
• Grow and mature the ML practice by developing methodologies, frameworks, and reusable assets
• Represent the company at industry events, conferences, and client workshops as a thought leader in ML and AI

Staff/Principal Machine Learning Engineer, AI

DevOps Engineer

• Design, implement, and manage AWS infrastructure using Terraform
• Develop and maintain CI/CD pipelines to support continuous integration and delivery
• Implement monitoring, logging, and alerting solutions to ensure system reliability and performance
• Collaborate with development teams to ensure seamless integration of new services and features
• Automate repetitive tasks to improve efficiency and reduce manual intervention
• Ensure security best practices are followed for all cloud deployments
• Perform regular infrastructure and security audits to identify and mitigate risks
• Troubleshoot and resolve infrastructure-related issues in a timely manner

Middle/Senior DevOps Engineer, AWS, Terraform

Business Development Rep

• About Provectus: Provectus (www.provectus.com) is a leading AI and data consultancy that empowers organizations to leverage cutting-edge technologies for digital transformation. We partner with global enterprises and innovative startups to deliver end-to-end solutions in artificial intelligence, machine learning, and cloud computing. As an AWS Premier Tier Partner, we have deep expertise in leveraging cloud technologies to drive innovation. Provectus is an Artificial Intelligence consultancy and solutions provider that helps businesses achieve their objectives through AI. Industry analysts recognize us as a leading provider of AI solutions in specific business domains, driven by sophisticated IT service management and tech innovation. Provectus is a value driver and a trusted partner for our clients and employees.


Position Overview:
We seek an experienced and dynamic Business Development Manager to drive growth for our AI and data solutions across various industries and spearhead our efforts to acquire new customers and develop new revenue channels for our AI and data solutions consulting business. This role is crucial for expanding our client base, driving significant revenue growth, and establishing Provectus as the go-to partner for AI-driven digital transformation across various industries.

Senior Data Solutions Architect, AWS

Senior Full-Stack Engineer, TypeScript, React, Node, AWS

Senior Data Engineer, AWS

Lead Data Tech

Senior Data Solutions Architect, AWS

Senior Product Designer

Senior Python Developer

Senior Product Designer

People & Talent Partner

Senior OTT Software Engineer

Senior OTT Software Engineer

People Partner / HRBP

People Partner / HRBP

People Partner / HRBP

People Partner / HRBP

AI/ML Tech Lead, LLMs, AWS

Python Tech Lead, AI

AI/ML Team Lead – Generative AI, LLMs, AWS

UX/UI Designer Trainee

Talent Acquisition Partner / IT Recruiter

Staff/Principal Machine Learning Engineer, AI

Middle/Senior DevOps Engineer, AWS, Terraform

Business Development Manager (with AI)