Jobs

• Implement new algorithms by setting tasks for developers, and independently realize new logic in the form of scripts and procedures.
• Investigate new data sources and find necessary data.
• Document newly created algorithms.
• Understand the business aspects of data products.
• Monitor deadlines for tasks and oversee the product from the development stage through testing to deployment.

• Proficient knowledge of PostgreSQL and other relational databases, experience in writing and optimizing complex SQL queries.
• Experience with graph databases.
• Experience with databases, understanding of entity relationships, analysis and construction of ER diagrams (ERD).
• At least 3 years of experience in data analysis.
• Higher education in information technology, applied mathematics, data analysis, or related fields.

• Develop and maintain embedded software for STM32 microcontrollers in C using FreeRTOS
• Develop application software in C/C++ for single-board computers running Linux
• Support and enhance existing codebase, participate in software architecture design and code reviews
• Maintain technical documentation for developed software and interaction protocols.

• Proficient in C for embedded development
• Commercial software development experience for STM32 microcontrollers
• Experience with FreeRTOS
• Proficient in working with MCU peripherals (UART, I2C, ADC, DMA)
• Practical experience with CAN / FDCAN
• Ability to read datasheets/reference manuals and implement drivers for external chips via I2C/SPI/UART
• Experience with Git
• Ability to work with an oscilloscope, multimeter, and logic analyzer
• Ability to read electrical schematics at the level required for firmware development
• Software development for single-board computers. Knowledge of Linux OS and proficiency in Linux environment. Experience in developing and building applications in C/C++ for Linux, including ARM platforms.

• Experience with Yocto, Buildroot, or similar build systems
• Experience in developing graphical interfaces for embedded Linux, including using LVGL

• Develop production systems for video analytics based on Computer Vision
• Process dozens and hundreds of RTSP video streams with minimal latency
• Build and optimize pipelines using NVIDIA DeepStream, GStreamer, and TensorRT
• Develop and implement Computer Vision models (YOLO, ViT, Video Transformers, VLM)
• Optimize inference on GPU/CPU (TensorRT, OpenVINO, ONNX, Quantization)
• Integrate Computer Vision with LLM and multimodal models for generating intelligent analytics from video data
• Develop AI services using FastAPI/gRPC, Docker, Kubernetes
• Build RAG and Agentic AI solutions (LangGraph, vLLM, Function Calling)
• Design the architecture of AI components and participate in technical decision-making

• Commercial experience in Computer Vision and Video Analytics
• Practical experience with RTSP, DeepStream, GStreamer, TensorRT
• Excellent knowledge of PyTorch, OpenCV, YOLO
• Experience in model optimization (ONNX, TensorRT, OpenVINO, CUDA)
• Understanding of modern Vision Transformers (ViT, DETR, Swin, TimeSformer, ViViT) and multimodal models (LLaVA, Qwen-VL)
• Experience with LLM, RAG, and agentic systems is a plus
• Experience in developing production AI systems and ML services

• DeepStream SDK
• CUDA
• Triton Inference Server
• Kafka
• Kubernetes
• LangGraph
• vLLM
• MLflow

• At least 3 years of experience as a system analyst.
• Higher education in information technology, automation, applied computer science, or a related field.
• Experience gathering, analyzing, and formalizing functional and non-functional requirements.
• Experience preparing technical and project documentation, including specifications, SRS, UML/BPMN models, and user scenarios.
• Understanding of information system architecture, REST APIs, integration mechanisms, and databases.
• Experience working with clients, developers, and testers.
• Knowledge of the software development life cycle (SDLC) and Agile/Scrum methodologies.
• Skills in systems analysis, business process modeling, and preparing development tasks.

• Develop backend services and REST APIs
• Build data and document processing pipelines
• Implement RAG, document indexing, and semantic search
• Integrate AI services with enterprise systems
• Ensure performance, reliability, and observability of services
• Participate in architecture design and code reviews

• 5+ years of Python backend development experience
• Strong knowledge of FastAPI, PostgreSQL, Redis, and Kafka or Celery
• Experience with Docker, Kubernetes, and CI/CD
• Experience with LLMs, RAG, and vector databases (Qdrant or pgvector)
• Understanding of software architecture, testing, security, and observability
• Ability to work independently and contribute to technical decisions