OPEN POSITION
Technical Lead
We are now expanding and looking for a skilled and Technical Lead to head our NLP platform and custom solution backend teams.
Apply now
Our stack
Python 3.12 and Go as our core languages - Python for rapid development, Go for performance-critical services and internal tools.
Cloud-native infrastructure: Kubernetes orchestration with Helm, multi-cloud deployment across AWS.
GCP, and AzuregRPC, REST APIs, WebSockets and Kafka for service communication.
GitHub Actions for CI/CD, Docker for containerization, with Grafana, Prometheus, and OpenTelemetry for observability.
PostgreSQL, ClickHouse for analytics, and specialized vector databases for AI workloads.
Responsibilities
Design the architecture of the AI Collection Platform (telephony, dialer, dialog engine, API integrations).
Lead the engineering team; set up CI/CD, code reviews, and DevOps best practices.
Build infrastructure: cloud (AWS/GCP/Azure), Kubernetes, monitoring, and high availability.
Implement call strategies and automation: schedulers, LLM guardrails, analytics.
Ensure product compliance with GDPR, AI Act, FDCPA, and other regional regulations.
Define and track key performance metrics for system reliability and business outcomes.
Requirements
10+ years, with at least 5 years in a Tech Lead, Solution Architect, or equivalent role.
Proven experience with microservices, event-driven architectures, API gateways, and real-time processing at scale.
Expert in Python (type systems, modern ecosystem).
Strong knowledge of cloud platforms, container orchestration, CI/CD pipelines, monitoring, and observability.
Experience with low-latency optimization, streaming architectures, message queues, and distributed tracing.
Ability to evaluate architectural trade-offs, make informed decisions, and communicate them clearly.
Excellent technical communication, mentoring skills, and the ability to facilitate productive team discussions.
Domain experience (preferred): FinTech, Telecom, Collections, or other high-load B2C systems.
What we offer?
High-impact projects with prominent clients and our proprietary AI platform development.
Cutting-edge technology stack with the latest tools in AI infrastructure and platform engineering.
Budgets for the latest AI models (GPT-4, Claude, etc.) to ensure our team has the best tools available.
Rapid career progression working alongside senior professionals from leading tech companies.
Remote work flexibility from Europe.
Direct influence on platform architecture decisions that shape our AI products.
Our stack
Python 3.12 and Go as our core languages - Python for rapid development, Go for performance-critical services and internal tools.
Cloud-native infrastructure: Kubernetes orchestration with Helm, multi-cloud deployment across AWS.
GCP, and AzuregRPC, REST APIs, WebSockets and Kafka for service communication.
GitHub Actions for CI/CD, Docker for containerization, with Grafana, Prometheus, and OpenTelemetry for observability.
PostgreSQL, ClickHouse for analytics, and specialized vector databases for AI workloads.
Responsibilities
Design the architecture of the AI Collection Platform (telephony, dialer, dialog engine, API integrations).
Lead the engineering team; set up CI/CD, code reviews, and DevOps best practices.
Build infrastructure: cloud (AWS/GCP/Azure), Kubernetes, monitoring, and high availability.
Implement call strategies and automation: schedulers, LLM guardrails, analytics.
Ensure product compliance with GDPR, AI Act, FDCPA, and other regional regulations.
Define and track key performance metrics for system reliability and business outcomes.
Requirements
10+ years, with at least 5 years in a Tech Lead, Solution Architect, or equivalent role.
Proven experience with microservices, event-driven architectures, API gateways, and real-time processing at scale.
Expert in Python (type systems, modern ecosystem).
Strong knowledge of cloud platforms, container orchestration, CI/CD pipelines, monitoring, and observability.
Experience with low-latency optimization, streaming architectures, message queues, and distributed tracing.
Ability to evaluate architectural trade-offs, make informed decisions, and communicate them clearly.
Excellent technical communication, mentoring skills, and the ability to facilitate productive team discussions.
Domain experience (preferred): FinTech, Telecom, Collections, or other high-load B2C systems.
What we offer?
High-impact projects with prominent clients and our proprietary AI platform development.
Cutting-edge technology stack with the latest tools in AI infrastructure and platform engineering.
Budgets for the latest AI models (GPT-4, Claude, etc.) to ensure our team has the best tools available.
Rapid career progression working alongside senior professionals from leading tech companies.
Remote work flexibility from Europe.
Direct influence on platform architecture decisions that shape our AI products.