Provectus

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.
• 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

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 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

Product Designer

• 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

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

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

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.