Visarsoft

We are looking for a strong Computer Vision and Geospatial AI engineer to work on an AI product in the defense tech domain. The project is long-term and technically challenging

Responsibilities

• Development and optimization of the Computer Vision pipeline
• Working with video streams and processing low-quality video input
• Implementation of cross-view feature matching and image retrieval
• Building and indexing a georeferenced tile database
• Object georeferencing and spatial analytics
• Optimization of inference latency and performance
• Participation in system architecture design

Requirements

Must-have

• 4+ years of experience in Computer Vision / Deep Learning
• Hands-on experience with geo-localisation, place recognition, or image retrieval
• Feature extraction with foundation models: DINOv2, CLIP, or equivalent
• Keypoint detection and matching: LightGlue, LoFTR, DISK, SuperPoint
• Contrastive / metric learning: InfoNCE, triplet loss, hard negative mining
• Homography estimation and geometric verification
• Experience with satellite imagery and geospatial data
• Coordinate systems, tile indexing, GDAL
• Vector search: FAISS or other ANN libraries
• Python, PyTorch at production level
• Experience with video pipelines
• Linux, Docker

Nice to have

• PhD in Computer Vision, Photogrammetry, Remote Sensing, Geomatics, or Robotics
• Publications in cross-view localisation, visual SLAM, or UAV navigation
• Experience with degraded or compressed video
• TensorRT, ONNX, edge deployment
• CUDA
• Background in defense, aerospace, or robotics

We are looking for someone who

• Can work not only with ML models but also with production systems
• Can independently build a pipeline and make technical decisions
• Has a practical engineering mindset
• Reads and implements recent research papers
• Understands performance bottlenecks

Tech stack

Python, PyTorch, DINOv2, CLIP, LightGlue, LoFTR, FAISS, GDAL, FFmpeg, Docker, Linux

Work format

• Remote
• Full-time or B2B contract
• Long-term project
• Competitive salary, discussed individually

Domain experience is a plus

• Defense tech
• Drone systems
• Satellite imagery / Remote sensing
• Visual geo-localisation
• ISR / geospatial analytics

We are looking for a strong Computer Vision and Geospatial AI engineer to work on an AI product in the defence tech domain. The project is long-term and technically challenging

Responsibilities

• Development and optimization of the Computer Vision pipeline
• Working with video streams and processing low-quality video input
• Implementation of cross-view feature matching and image retrieval
• Building and indexing a georeferenced tile database
• Object georeferencing and spatial analytics
• Optimization of inference latency and performance
• Participation in system architecture design

Requirements

Must-have

• 4+ years of experience in Computer Vision / Deep Learning
• Hands-on experience with geo-localisation, place recognition, or image retrieval
• Feature extraction with foundation models: DINOv2, CLIP, or equivalent
• Keypoint detection and matching: LightGlue, LoFTR, DISK, SuperPoint
• Contrastive / metric learning: InfoNCE, triplet loss, hard negative mining
• Homography estimation and geometric verification
• Experience with satellite imagery and geospatial data
• Coordinate systems, tile indexing, GDAL
• Vector search: FAISS or other ANN libraries
• Python, PyTorch at production level
• Experience with video pipelines
• Linux, Docker

Nice to have

• PhD in Computer Vision, Photogrammetry, Remote Sensing, Geomatics, or Robotics
• Publications in cross-view localisation, visual SLAM, or UAV navigation
• Experience with degraded or compressed video
• TensorRT, ONNX, edge deployment
• CUDA
• Background in defence, aerospace, or robotics

We are looking for someone who

• Can work not only with ML models but also with production systems
• Can independently build a pipeline and make technical decisions
• Has a practical engineering mindset
• Reads and implements recent research papers
• Understands performance bottlenecks

Tech stack

Python, PyTorch, DINOv2, CLIP, LightGlue, LoFTR, FAISS, GDAL, FFmpeg, Docker, Linux

Work format

• Remote
• Full-time or B2B contract
• Long-term project
• Competitive salary, discussed individually

Domain experience is a plus

• Defence tech
• Drone systems
• Satellite imagery / Remote sensing
• Visual geo-localisation
• ISR / geospatial analytics

We are looking for a Senior Full Stack Developer capable of taking technical ownership, making independent decisions, and ensuring reliable delivery of complex, production-ready solutions. We expect a highly skilled engineer who can drive results, structure development processes, and demonstrate strong leadership qualities.

Core Requirements

📌 English: Upper-Intermediate or higher.

📌 5+ years of commercial experience with key technologies:

• Python
• Node.js
• React.js
• AWS Lambda/Azure

📌 Commercial experience with additional technologies:

• TypeScript
• Redux
• Express.js
• NestJS
• REST API / GraphQL

• PostgreSQL

   

• AI Engineering & Innovation
• We are actively integrating AI into our development workflows and software solutions.

This includes:

• Introducing and optimizing AI coding tools (Cursor, Copilot, Claude, etc.)
• Supporting the integration of LLM-based features into SaaS products
• Guiding architecture decisions around AI-driven applications

• Promoting the use of AI coding agents and automation in development

   

Key Personal Qualities

• Strong sense of ownership and responsibility.
• Analytical thinking and a results-driven mindset.
• Ability to work effectively in a dynamic and fast-paced environment.

What we can offer:

Full-time flexible working schedule;

Comfortable, cosy, and well-equipped office;

Modern working place MacBookPro;

18 business days of paid vacation / 10 paid sick leaves / public holidays in Ukraine.

English lessons