Senior AI Engineer (Remote)

Svitla Systems Inc. is looking for a Senior AI Engineer for a full-time position (40 hours per week) in Europe. Our client is building an advanced cloud platform for call tracking, marketing attribution, real-time call analysis, and intelligent workflow automation in the pay-per-call and lead generation space. The company is in a hypergrowth phase and is actively scaling both its product platform and engineering capability. The platform combines high-throughput infrastructure, deterministic backend systems, real-time integrations, and AI-driven functionality to support transcription, summarization, extraction, scoring, and increasingly sophisticated agent-enabled workflows. 

You will work directly on production-grade AI systems and help design the infrastructure and orchestration to make them scalable, reliable, and commercially viable. It is a hands-on senior engineering role for someone who can move beyond experimentation and prototype work to help build the production backbone that enables AI capabilities to operate effectively in a fast-moving, high-volume environment. It's not a pure research role, and it is not intended for someone whose experience is limited to basic model API usage or lightweight wrappers around third-party services. The right person will be comfortable building the surrounding systems that make AI useful in production, including orchestration, data flow control, workflow design, evaluation logic, service integration, performance optimization, and operational reliability. The perfect candidate will be technically strong, highly proactive, and comfortable operating with a high degree of ownership in a startup environment where requirements evolve quickly, and the development pace is high. The engineer will work directly with founders and a small technical team that is actively building sophisticated capabilities in a product environment.

Requirements:

• Strong professional experience as a Senior AI Engineer, Senior ML Engineer, or similarly senior-level software engineer building production AI systems.

• Strong hands-on experience with Python in real production environments.

• Understanding of building AI-enabled systems that go beyond prototypes and function reliably as part of commercial software products.

• Strong understanding of AI workflow design, orchestration, service integration, backend architecture, and the surrounding engineering systems required to make AI useful in production.

• Experience working with large language models, intelligent automation systems, or AI-powered pipelines in real business applications.

• Strong knowledge of APIs, asynchronous workflows, backend services, and multi-step processing systems.

• Expertise in designing, implementing, and maintaining AI pipelines for tasks such as summarization, extraction, classification, scoring, or workflow automation.

• Ability to balance experimentation with engineering discipline and convert promising ideas into scalable, maintainable systems.

• Expertise in debugging and troubleshooting across AI behavior, workflow failures, service interactions, and production bottlenecks.

• Ability to operate independently, make sound technical decisions, and contribute effectively in an environment with evolving priorities and limited bureaucracy.

Nice to have:

• Experience building or supporting agentic systems, tool-using AI workflows, or multi-step execution pipelines.

• Familiarity with orchestration frameworks, prompt pipelines, structured tool invocation, or custom workflow engines.

• Familiarity with transcription systems, speech-related processing, summarization of pipelines, scoring systems, or entity extraction workflows.

• Experience working in environments where deterministic application logic and AI systems must work together in a tightly controlled production setting.

• Experience with real-time or near-real-time systems, high-volume processing, or latency-sensitive AI workflows.

• Exposure to PostgreSQL, Redis, or application architectures that support high-throughput AI-enabled processing.

• Exposure to Node.js, frontend applications, or broader product engineering environments is helpful for cross-functional collaboration.

• Background in AdTech, MarTech, call tracking, attribution, lead generation, or analytics-heavy business platforms is highly valuable.

• Experience optimizing AI systems for cost efficiency, output quality, response time, and operational scalability.

• Good judgment skills about when to use external frameworks versus when to build custom internal tooling.

Responsibilities:

• Design, build, and improve production-grade AI capabilities that support real business workflows, including transcription, summarization, data extraction, classification, scoring, orchestration, and agent-driven execution flows.

• Develop and maintain AI-related backend services and processing pipelines using Python, with a focus on reliability, scalability, observability, and production performance.

• Help architect and evolve the platform’s AI orchestration layer, including the logic, control mechanisms, and deterministic infrastructure required for AI systems to operate safely and effectively in production.

• Work closely with founders and engineering leadership to translate product goals into scalable AI-enabled systems that can support high usage volume and rapid feature evolution.

• Build and improve structured workflows that connect AI services with operational systems, internal tools, customer-facing platform features, and downstream business logic.

• Take ownership of substantial technical areas and contribute meaningfully to architectural decisions involving orchestration, tool execution, workflow control, quality evaluation, and scaling strategy.

• Contribute to the development of agentic workflow systems where AI capabilities must operate within controlled, deterministic environments and interact with tools, data, and structured business rules.

• Improve system quality across latency, throughput, output consistency, observability, failure handling, and cost efficiency.

• Evaluate and apply modern AI tooling, frameworks, and workflow patterns where appropriate, while also being comfortable building pragmatic internal solutions from scratch when greater control or performance is needed.

• Collaborate with backend, data, and full-stack engineers to ensure AI functionality is integrated cleanly into the broader platform and product experience.

• Help establish sound engineering practices for AI development, including production-readiness, testing discipline, instrumentation, operational monitoring, and iterative improvement.

• Participate in a fast-moving product and engineering environment where new ideas are explored quickly, and high-quality solutions are continuously pushed into production.

• Take ownership of a meaningful AI workflow area from design through delivery

• Identifying weak points in an AI pipeline and proposing practical improvements

• Work effectively in ambiguous problem spaces where requirements are not fully fixed.

• Help shape technical direction rather than simply following instructions, contribute production judgment around stability, observability, and scalability.

• Work directly with founders and senior engineers in a high-trust, high-autonomy environment.

We offer

• US and EU projects based on advanced technologies.

• Competitive compensation based on skills and experience.

• Regular performance appraisals to support your growth.

• Flexibility in workspace, either remote or our welcoming office.

• Bonuses for article writing, public talks, other activities

• Generous time off, including vacation, national holidays, sick leaves, and family days.

• Personalized learning programs tailored to your interests and skill development.

• Free tech webinars and meetups organized by Svitla.

• Regular corporate online activities.

• Awesome team and a friendly, supportive community!