Intetics

Engineer

• - Support and maintain the existing software developed in NI LabVIEW
• - Perform bug fixing and implement change requests (CRs)
• - Analyze the current system architecture and business logic
• - Participate in the gradual migration of the solution from LabVIEW to .NET
• - Collaborate with the development team and contribute to technical discussions
• - Ensure stability and reliability of the solution during the transition phase

LabVIEW Engineer – Part-time

QA Engineer

• We are looking for a QA Engineer to join a small, high-impact team working on AI-driven and agent-based product features.
• This role combines classical QA practices with testing of cutting-edge AI systems, including LLM logic and agent workflows.
• You will be responsible for ensuring quality, consistency, and reliability of both traditional product functionality and AI-driven outputs.

QA Engineer – AI, Agent-based Systems

Data Entry

• Collect all relevant parking data at the test site, curbside and/or parking lots.
• Take photos of all unique parking signs and any other indicators on block/lot that relate to parking.
• Count unoccupied on-street parking spaces on each selected block during certain time buckets.
• Notate data errors in the mobile application when observed.
• Submit data, including photos and notes, using the mobile application.
• Ensure accurate and timely data collection.

Field Data Collector

Backend Engineer

• Own and support critical backend services, ensuring their stability and performance
• Implement new features and improvements in existing systems
• Investigate issues related to data pipelines, DAGs, indexing, and web applications
• Perform root cause analysis and propose effective solutions
• Suggest and implement improvements across different layers of the system
• Actively collaborate with the team and communicate with the client

Senior Python Engineer, Apache Airflow

Lead Generation

• Identify and research potential clients, primarily in the US market.
• Generate leads through LinkedIn, email outreach, networking, and other relevant channels.
• Reach out to potential clients and introduce the product value proposition.
• Communicate with decision-makers such as founders, CEOs, CTOs, procurement managers, and business owners.
• Qualify prospects and understand their needs related to outsourcing provider search.
• Drive prospects toward product registration, demo/product usage, and paid subscription.
• Follow up with leads and manage communication throughout the early sales process.
• Test different outreach messages, sales approaches, and target audiences.
• Share market feedback with the team to help improve positioning, messaging, and sales strategy.
• Help shape the first repeatable sales process for the product.

Sales Manager – Lead Generation Specialist

Machine Learning Engineer

• Design and implement scalable, secure, and cost‑efficient MLOps solutions leveraging AWS and Databricks.
• Automate ML deployment pipelines, reducing manual intervention and operational overhead.
• Collaborate closely with data scientists to ensure solutions align with established MLOps architecture, best practices, and platform standards.
• Integrate security controls and compliance requirements throughout the entire machine learning lifecycle.
• Own and manage incidents end‑to‑end, from root cause analysis to prevention of future occurrences.
• Contribute to software system architecture and the design of platform‑level components.
• Build and optimize ML training, retraining, and inference pipelines, ensuring reliability and scalability.
• Enhance observability with metrics, logging, tracing, and dashboards to ensure system visibility and performance.
• Drive best practices in infrastructure automation, CI/CD, and cloud resource management across ML teams.

MLOps Engineer

• Development using multiple operating systems, Siemens PLC, Allen-Bradley PLC, B&R PLC, Mitsubishi PLC, Windows CE, Linux OS is preferred.