Job Closed
This listing is no longer active.
Senior AI / Software Engineer – Systems & Applied AI
Location
Brazil
Posted
57 days ago
Salary
0
Seniority
Senior
Job Description
Senior AI / Software Engineer – Systems & Applied AI
SkilldLabs
Location: Remote (Global) Engagement: Contract or fractional (flexible hours) Duration: 2–3+ year platform rebuild initiative Overview We are seeking an exceptional Senior AI / Software Engineer to help rebuild and modernize the technology platform of a long-established investigative technology company undergoing a full re-platform. This role is not a traditional engineering position where requirements are fully defined and handed down for execution. The ideal candidate must be capable of owning ambiguous problems, designing scalable systems, and executing independently. You will work on advanced systems involving video processing, AI/ML pipelines, voice agents, and large-scale data processing, helping the team build and operate a modern architecture while the system is actively running. This is a role for a highly experienced engineer who thrives in complex environments and can immediately contribute without extensive direction. Responsibilities: System Architecture & Engineering - Design and implement scalable backend systems supporting AI and data processing workflows - Architect solutions that operate reliably under large-scale workloads - Evaluate and redesign legacy components during the platform rebuild - Identify architectural risks before they reach production scale Applied AI / ML Systems - Develop and integrate machine learning pipelines used in real-world investigative workflows - Work with technologies such as: - Computer vision - Video processing pipelines - AI agents and automation systems - Improve latency and performance of AI-driven workflows Data & Platform Engineering - Design systems capable of processing extremely large video datasets - Build scalable pipelines for ingesting, processing, and analyzing media data - Optimize storage architectures (object stores vs relational systems) - Ensure systems scale without architectural bottlenecks Problem Solving & Technical Leadership - Evaluate complex engineering challenges and propose optimal solutions - Challenge flawed technical assumptions when necessary - Collaborate with a small team of senior engineers and contractors - Rapidly prototype and test ideas without heavy process overhead Required Experience Core Engineering - 10–20+ years of professional software engineering experience - Extensive experience designing distributed systems at scale - Strong architecture and system design capability - Ability to work across multiple programming languages AI / Machine Learning Hands-on experience with applied ML systems such as: - Computer vision frameworks (e.g. YOLO) - ML frameworks such as TensorFlow or similar - Retrieval-Augmented Generation (RAG) pipelines - Experience integrating AI systems into production applications - Candidates must understand AI systems at the engineering level, not simply prompt engineering. Cloud & Infrastructure - Strong experience with AWS architecture - Experience with services such as Bedrock or similar model platforms - Designing large-scale data processing pipelines - Managing performance, latency, and cost optimization Languages / Technical Stack Environment is polyglot, and the team values engineering ability over specific language preference. Languages currently in use include: - C# - Node.js - Python - Java - C/C++ What Makes This Role Unique - Strong software engineering fundamentals - Deep understanding of AI/ML systems beyond prompt engineering - Ability to design scalable systems and challenge bad architecture - Comfort working in a polyglot, evolving architecture - A mindset of problem ownership rather than requirement execution The most successful candidate will: The right candidate can take a loosely defined problem and design the right technical solution from first principles. Ideal Candidate Profile - Be strong technically - Think like a systems architect - Be able to hit the ground running with minimal direction - Identify edge cases and scaling issues early - Avoid over-engineering while still designing robust solutions - Have the confidence to challenge poor design decisions - This role is not suitable for engineers who only execute defined requirements. Work Environment - Small engineering team - Mix of contractors and fractional specialists - Highly collaborative but low process / high ownership - Long-term rebuild initiative (2–3+ years) What Success Looks Like Within the first 90 days, the successful candidate will: - Quickly understand the existing architecture and systems - Begin solving complex technical problems independently - Contribute architectural improvements to the platform rebuild - Design scalable solutions for high-volume AI and video processing workflows What we offer - Opportunity to work on cutting-edge products - Fully remote team with async-first collaboration - Payment in USD - PTO, paid holidays, and family leave - Paid learning and sponsored certifications - Computer Sponsor Program - A dynamic and collaborative work environment
Related Guides
Related Categories
Related Job Pages
More Systems Engineer Jobs
Senior Digital Process & Systems Expert
GetingeWith a firm belief that every person and community should have access to the best possible care, Getinge provides hospitals and life science institutions with products and solutions aiming to improve clinical results and optimize workflows. The offering includes products and solutions for intensive care, cardiovascular procedures, operating rooms, sterile reprocessing and life science. Getinge employs over 12,000 people worldwide and the products are sold in more than 135 countries.
Role Description Join our dynamic and innovative DHS Operations organization, where your expertise will play a key role in driving operational excellence, governance, and process optimization across our internal platforms and operational systems. In this role, you will contribute to improving workflows, enhancing operational visibility, strengthening governance structures, and supporting scalable ways of working across cross-functional teams. As a Senior Process & Systems Expert, you will be responsible for driving and supporting operational systems governance, process optimization, and continuous improvement initiatives across DHS functions. You will work closely with Group IT, Technical Support, R&D, Quality, and other stakeholders to ensure that operational platforms, workflows, and supporting tools align with business objectives, governance requirements, and long-term scalability needs. You will play a central role in transforming operational platforms and processes from reactive request handling into structured, value-driven operational enablers that support transparency, collaboration, operational maturity, and sustainable organizational growth. Key Responsibilities - Drive operational process improvements, governance initiatives, and optimization of internal systems and workflows. - Support and improve operational platforms, including ServiceNow and related enterprise tools. - Coordinate cross-functional process alignment, prioritization, and operational improvement initiatives. - Improve reporting, KPI visibility, data quality, and operational transparency across systems. - Analyze workflows, identify bottlenecks, and drive standardization, automation, and scalable ways of working. - Develop and maintain process documentation, governance frameworks, and operational standards. - Ensure compliance with governance, quality, and operational requirements across systems and processes. Qualifications - Bachelor’s degree in Information Technology, Business Administration, Engineering, Operational Excellence, or a related field. - Minimum 5 years of experience working with enterprise operational systems, governance, process improvement, or platform management. - Experience driving cross-functional operational improvements and governance initiatives. - Strong understanding of operational governance, workflow optimization, and enterprise systems. - Experience with process mapping, reporting, dashboarding, and operational KPI development. - Experience collaborating with IT organizations and business stakeholders in matrix environments. - Familiarity with ServiceNow, workflow tools, reporting platforms, or similar enterprise systems is preferred. - Knowledge of ITIL, Lean, Agile, Operational Excellence, or Service Management methodologies is considered an advantage. - Strong analytical, organizational, and stakeholder management skills. - Fluent in written and spoken English. Benefits - A highly impactful role with broad cross-functional exposure. - Opportunities to drive operational improvements and influence strategic initiatives. - A collaborative and agile working environment where your expertise matters. - Professional growth opportunities within operational excellence, systems governance, and business transformation. - Flexible work arrangements with the option to work remotely or from offices in Denmark or Germany. Application Applications will be reviewed continually, and we therefore recommend sending us your application as soon as possible, but no later than 2026-06-21. We kindly ask you to submit your application in our recruitment system by clicking the “apply now” button. Due to GDPR regulations we do not accept applications via e-mail. If you have any questions regarding the role, please contact Recruiter at joakim.martinsson@getinge.com. We look forward to receiving your application. We hope you will join us on our journey to become the world’s most desired MedTech company.
Systems Engineer
GivzeyThe first Give now, Pay later donation solution enabling donors to make the biggest impact on their favorite nonprofits.
• Develop front-end and back-end components of our applications, ensuring optimal performance, quality, and responsiveness. • Drive the adoption and execution of DevOps practices such as infrastructure automation, continuous integration/continuous deployment, and automated testing. • Take responsibility for the management, enhancement, and monitoring of our AWS cloud infrastructure, ensuring that it effectively scales with the evolving needs of the business and maintains high availability. • Design, develop, and implement innovative tools to automate operational processes, eliminating the need for manual intervention and enhancing overall system efficiency. • Play a central role in the architecture, design, and maintenance of the server environment, effectively becoming the steward of our Systems Operations. • Troubleshoot and resolve live production issues, contributing to the continued reliability and high availability of our services.
Workday Systems Analyst, HR International
Shriners Children'sBringing hope and healing to families, every day.
• Administering configuration and maintenance of Workday Core HCM, Benefits, and Compensation modules for international entities, ensuring compliance with Canadian (including Quebec) and Mexican regulations. • Managing business processes, eligibility rules, validations, and reporting structures tailored to regional HR practices and labor standards. • Supporting local HR users with troubleshooting, data corrections, and guidance across HCM, ensuring adherence to bilingual documentation and audit requirements. • Coordinating testing and implementation of Workday releases and enhancements that impact international HR functionality and country-specific processes. • Partnering with HR leadership, HR Operations, and local HR teams in Canada and Mexico to align system design with local legislation, healthcare requirements, and internal governance policies.
• Work with implementation teams from concept to operations, providing deep technical subject matter expertise for successfully deploying large scale data solutions in the enterprise, using modern data/analytics technologies on premise and cloud • Build and implement a solution architecture, provision infrastructure, secure and reliable data-centric services and application in GCP • Work with data team to efficiently use Cloud infrastructure to analyze data, build models, and generate reports/visualizations • Integrate massive datasets from multiple data sources for data modeling • Design, build, implement and manage APIs and API proxies. • Organizes and implements all API development processes internally and externally. • Ensures that API’s are satisfactory to business requirements, including features, infrastructure and systems • Troubleshoots and tests all features, systems, and functionality of end products. • Implement methods for automation of all delivery components to minimize labor in development and production • Formulate business problems as technical data problems while ensuring key business drivers are captured in collaboration with product management • Knowledge in machine learning algorithms especially in recommender systems • Extracting, Loading, Transforming, cleaning, and validating data • Designing pipelines and architectures for data processing • Creating and maintaining machine learning and statistical models • Querying datasets, visualizing query results and creating reports



