Intetics

Backend Engineer

• Conduct technical interviews and assessments for Go developer positions to evaluate candidates' coding skills, problem-solving abilities, and understanding of Go concepts.
• Collaborate with recruitment teams to refine interview questions and techniques based on role requirements and industry trends.
• Provide detailed feedback and recommendations on candidates to hiring managers and HR teams to assist with hiring decisions.
• Stay updated with the latest Go technologies, frameworks, and tools, including Gin, Echo, gRPC, Docker, Kubernetes, and concurrency patterns (goroutines, channels).
• Participate in creating and standardizing technical interview processes and training materials for interviewers.

Technical Interviewer, Go

• Conduct technical interviews and assessments for Scala developer positions to evaluate candidates' coding skills, problem-solving abilities, and understanding of Scala concepts.
• Collaborate with recruitment teams to refine interview questions and techniques based on role requirements and industry trends.
• Provide detailed feedback and recommendations on candidates to hiring managers and HR teams to assist with hiring decisions.
• Stay updated with the latest Scala technologies and frameworks, including Akka, Play Framework, Apache Spark, to effectively assess candidates.
• Participate in creating and standardizing technical interview processes and training materials for interviewers.

Technical Interviewer, Scala

Content Manager

• Monitor, verify, and edit real-time traffic incident information from multiple sources
• Gather data from official channels, social media, emails, and police reports (access provided by the client)
• Apply structured editorial rules with high accuracy
• Work with internal tools, navigation apps, and maps to process incidents
• Ensure timely and accurate data entry during each shift
• Work with an international team, processing incidents exclusively in English
• Attend training provided in British English

Junior Content Editor

• Support Data Science and Engineering cluster with the Cloud Migration project
• Migrate all services to the AWS Cloud
• Upgrade the codebase of Scala-based services

Senior Scala Developer

• We are looking for an AI Engineer to design, develop, and deploy next-generation AI solutions. This role involves building and optimizing ML/DL/GenAI models, leveraging cloud infrastructure, and implementing modern MLOps practices. You will collaborate with a cross-functional team, contribute to solution architecture, and help shape AI-driven products that deliver real business value.

AI Engineer, Python

• Design, develop, and optimize AI/ML solutions focusing on LLMs and NLP applications.
• Fine-tune, deploy, and maintain LLMs (OpenAI, Llama, Claude, Gemini, Grok).
• Implement semantic search, embeddings, and vector-based solutions.
• Integrate AI components using orchestration frameworks (LangChain, LangGraph, LlamaIndex).
• Ensure reliable deployment with Docker/Kubernetes and modern DevOps practices.
• Evaluate model performance using appropriate metrics and methodologies.
• Collaborate with cross-functional teams to deliver AI-powered products.

Senior AI/ML Engineer, Python

AI Engineer

• Design and build AI applications tailored to SMEs.
• Create and deploy voice assistants and automation solutions with immediate usability.
• Transform ideas into working solutions quickly, pragmatically, and effectively.
• Collaborate with stakeholders to ensure real-world usability and fast adoption.

Data Engineer

• Build an E2E Data Platform that collects player-level data for brands to become the central source of truth
• Build connectors to external partners to harvest and process data
• Develop custom functions and transformation logic
• Integrate data into Snowflake and downstream analytics/reporting platforms
• Design, build, and maintain ETL/ELT pipelines and batch/streaming workflows
• Own critical parts of the Airflow-based orchestration layer and Kafka-based event streams
• Ensure data quality, reliability, and observability across pipelines
• Build reusable data tools and frameworks for analytics and reporting use cases
• Collaborate cross-functionally with analysts, PMs, and engineers to deliver high-quality data
• Continuously improve, optimize, and challenge existing solutions