Jobs at DefTech companies

About the role

We are looking for an Embedded Engineer to join a Miltech / Defence project focused on building next-generation radio communication systems for UAVs.

You will work alongside an experienced team of engineers developing high-performance embedded solutions from the ground up. The role involves designing real-time software, integrating it with hardware platforms, and ensuring reliable communication systems used in demanding environments.
 

Location: Lviv office
 

Responsibilities

• Design and develop software for high-performance, real-time embedded systems
• Implement new functionality and enhance existing system capabilities
• Optimize embedded solutions for efficiency, stability, and reliability
• Integrate embedded software with target hardware platforms
• Collaborate closely with hardware and software engineering teams to deliver complete system solutions
• Troubleshoot and debug complex technical issues
   

Requirements and qualifications

• Bachelor’s degree in Electronics, Computer Science, or a related field
• 5+ years of experience as an Application or Software Engineer (or similar role)
• Strong C/C++ programming skills
• Hands-on experience developing software for bare-metal environments
• Solid understanding of modern microcontroller architectures and peripherals
• Practical experience working with SPI, I2C, and UART interfaces
• Strong debugging and troubleshooting skills
• Basic knowledge of electronics and ability to read circuit schematics
• English level B1 or higher
   

Nice to have

• Experience with cryptography and cybersecurity concepts
• Knowledge of network communication protocols (TCP/IP, UDP, RTP)
• Basic understanding of RF circuit design principles
• Familiarity with ARM assembly programming
   

What we offer

• Official employment according to Ukrainian labor law
• Military service deferment
• Modern working equipment (MacBook or other preferred hardware)
• Regular performance reviews supporting professional growth
• 24 working days of paid vacation annually
• Paid sick leave
• English language classes
• Compensation for educational and training programs
• Team buildings and corporate events in a friendly and collaborative environment
   

Why join us

This role offers a unique opportunity to work in a high-tech defence environment and develop innovative embedded solutions that shape the future of UAV communication systems.
 

Interested in learning more? Apply now — we’d love to connect and discuss the next steps.

We are building category-defining military technologies that are shaping outcomes on the battlefield. The opportunity is massive - to define how modern warfare systems are monetized, scaled, and adopted globally. 

We’re looking for a Monetization Lead who takes ownership, thinks strategically, and drives commercial decisions with speed and clarity. This is not a finance operations role; you will shape how we price, package, and capture value across products, systems, and markets. 

Your Role 

You own monetization strategy across a product ecosystem. 

Your focus: 

• Develop pricing and monetization strategies across product categories, customer segments, and markets 
• Understand buyer behavior, willingness to pay, procurement dynamics, and competitive pricing landscapes 
• Define how products, systems, services, and software should be packaged and monetized 
• Ensure monetization decisions align with positioning, products’ value, and long-term category leadership 
• Build frameworks, processes, and intelligence systems that improve pricing and commercial decision-making over time 
• Support strategic commercial decisions 

Your day-to-day 

• Work closely with Marketing, Sales, Finance, Product, and Leadership to shape commercial strategy 
• Analyze competitors, tenders, procurement trends, and pricing dynamics across markets 
• Develop pricing models, margin scenarios, and monetization frameworks 
• Identify opportunities for premium positioning, bundling, and value capture 
• Support negotiations and strategic deals with pricing insights and recommendations 
• Build and improve systems for pricing intelligence and market analysis 
• Turn complex commercial data into clear recommendations and decisions 

Your Skills and Experience 

• 5+ years in pricing, monetization, strategy, commercial excellence, consulting, product strategy, or similar roles 
• Strong analytical and strategic thinking 
• Experience working with complex products, systems, or B2B/B2G markets 
• Ability to connect pricing decisions with market dynamics and customer value 
• Comfortable working in fast-changing, ambiguous environments 
• High ownership and bias toward action 
• Strong communication - clear, direct, and structured 
• Experience with defense, hardware, SaaS, marketplaces, manufacturing, or deep tech is a plus 

You will not succeed in this role if you see pricing as spreadsheets and approvals rather than a strategic weapon. 

About the role

We're looking for a software engineer with leadership experience to lead a small team building a product management ecosystem in the defense sector. This is not a purely managerial role — the lead continues writing code and contributing to development while coordinating the team, defining priorities, and owning delivery quality.

Responsibilities

• Develop and maintain internal deployment and product management tooling
• Build and maintain CI/CD pipelines (GitHub Actions)
• Own Docker-based build and deployment workflows
• Code reviews and technical quality across the team
• Team planning, backlog prioritization, cross-team sync
• Onboarding and mentoring team members

Requirements

• Strong Python: async, threads, concurrent programming
• Experience with Python web frameworks (FastAPI preferred)
• Deep understanding of Docker and containerization
• Linux: systemd, journald, containers, confident CLI usage
• Networking: HTTP(S), SSH, WebSocket
• Strong understanding of client-server architecture and API design
• Databases and ACID fundamentals
• Cloud or on-premise infrastructure experience

• English for technical communication

   

   

  Nice to Have

• Bare-metal / Raspberry Pi / embedded Linux (firmware flashing, secure boot)
• Information security fundamentals
• Python deployment optimization
• Experience with ArduPilot or other autopilot stacks

• Prior tech lead or mentoring experience

   

   

  What we expect from the lead

• Structured approach to planning — not purely ad hoc
• Clear cross-team communication: status, blockers, priorities
• Autonomy in technical decisions within the team's scope
• Readiness to grow ownership as the company scales

Overview

We are looking for a Middle Computer Vision / Visual Navigation Engineer to improve and extend our GPS-independent navigation stack.

This is a hands-on R&D role: you work with real flight data, bring algorithms from experimentation to production, and collaborate closely with software and flight teams. Day to day you balance navigation and CV development, post-flight analysis, sensor calibration, and integration work. The role suits someone who is comfortable with classical geometry-based CV, modern feature pipelines, and turning prototypes into stable behavior on constrained hardware.

Responsibilities

Navigation & computer vision

• Improve existing visual-inertial navigation on real UAV platforms - both copters and planes
• Develop and refine algorithms for estimating position and orientation from camera and onboard sensor data
• Research and implement additional computer vision that extend the current system (e.g. use of satellite data, map or scene-based cues)
• Handle difficult real-world conditions: vibration, blur, changing scenery, sensor noise, and platform-specific setup differences

Flight analysis & tooling

• Analyze flight recordings to find issues, propose fixes, and verify improvements
• Extend automated post-flight analysis to reduce repetitive manual work
• Define clear quality metrics and use them to judge whether changes are ready for the deployment

Calibration

• Improve calibration procedures for cameras, IMU, and related sensors on new platforms
• Make calibration more repeatable and less dependent on one-off manual steps

Cross-team delivery

• Work closely with software and flight teams on testing, integration, and rollout
• Bring new methods into the production system with attention to performance and reliability
• Document limitations, risks, and operational guidance for the rest of the team

Required skills & experience

• 2+ years of practical experience in computer vision
• Solid fundamentals in image processing and geometric computer vision (camera models, epipolar geometry, robust estimation)
• Good Python for prototyping, analysis, and integration
• Practical production mindset
• English B2+ for documentation and technical discussion; Ukrainian for day-to-day team communication

Nice to have

• Experience with multi-sensor fusion / SLAM / EKF
• Sensor calibration experience on robotic or aerial platforms
• Map-based or semantic localization experience
• Deep learning applied to perception / matching
• UAV / robotics / aerospace experience

What we offer

• Competitive salary
• Reservation from mobilization
• Impact on improving our country's defense capabilities
• 21 days of vacation + public holidays, sick leaves

About us

DroneOps is a company creating innovative UAV-related products, focused on UAV autonomy and navigation, founded in 2023. We are a team of innovators and inventors who take on the duty to help the armed forces of Ukraine defend our country and democracy by providing reliable advanced systems that simplify their work, improve personnel safety, and enable more cost-effective and precise UAV mission execution.

Overview

We are looking for a Middle / Senior Computer Vision / Deep Learning Engineer to extend our onboard navigation capabilities with modern perception and learning-based methods.

This is a hands-on R&D role: you work from research and prototypes to production on edge hardware, collaborate with software, and flight teams, and help shape how new CV/DL features are built and shipped. The role suits someone who can follow state-of-the-art work, implement what fits our constraints, and care about real-world performance—not only offline benchmarks.

Responsibilities

Relocalization & navigation

• Design and develop satellite, map, and semantic navigation capabilities that improve the overall quality of our navigation
• Build and maintain pipelines for map and reference-data preparation before missions
• Extend the existing visual-inertial navigation stack with relocalization and map-based aiding features
• Develop training pipelines for these tasks (data preparation, training, evaluation, and iteration)
• Create utilities that make map preloading and mission setup convenient for operators and integrators
•  

Research & implementation

• Track relevant research and industry approaches; prototype and adopt methods where they clearly improve the product
• Reimplement or adapt algorithms when off-the-shelf solutions do not fit our data, hardware, or latency requirements
• Define evaluation metrics and acceptance criteria for new features before field and deployment rollouts
•  

Edge deployment & production

• Optimize models and inference for target onboard hardware
• Integrate new features into the production codebase with stable APIs, logging, and failure handling
• Take part in architecture decisions, code review, and team practices that keep production quality high as the stack grows
•  

Required skills & experience

• 3+ years of practical experience in computer vision and deep learning
• Strong Python; ability to write clear, maintainable code for experiments and production paths
• Experience with training and deploying deep learning models (PyTorch)
• Familiarity with model optimization for edge or embedded devices (pruning, quantization, ONNX/TensorRT-class tooling, or equivalent)
• Comfort working with geospatial or map-related data and preprocessing pipelines
• Practical production mindset: reproducible experiments, versioning, and validation on real data
• English B2+ for documentation and technical discussion; Ukrainian for day-to-day team communication
•  

Nice to have

• Experience with deep learning keypoint detection and matching approaches
• Comfortable with geometric computer vision (camera models, epipolar geometry, robust estimation)
• Multi-sensor fusion / SLAM / EKF background
• UAV, robotics, or aerospace field experience
• Experience with satellite or aerial imagery, semantic segmentation, or visual place recognition
•  

What we offer

• Competitive salary
• Reservation from mobilization
• Impact on improving our country's defense capabilities
• 21 days of vacation + public holidays, sick leaves

About us

DroneOps is a company creating innovative UAV-related products, focused on UAV autonomy and navigation, founded in 2023. We are a team of innovators and inventors who take on the duty to help the armed forces of Ukraine defend our country and democracy by providing reliable advanced systems that simplify their work, improve personnel safety, and enable more cost-effective and precise UAV mission execution.

Overview

We are looking for a Junior / Middle Software Engineer to strengthen our product software team.

This is a hands-on role on onboard navigation product software: you support and extend the system, build and improve tooling, and help keep releases reliable through simulation, replay, and hardware-in-the-loop validation.

The role suits someone who likes understanding how complex software behaves end to end, writes clear code and tests, and wants to work on real UAV systems with experienced engineers.

Responsibilities

System development

• Implement and maintain parts of the onboard product software and supporting services
• Develop internal tools, automation, and utilities used across development and release workflows
• Integrate new features into the production codebase with stable behavior, logging, and configuration

Product software support & verification

• Support, test, and debug components of the onboard navigation product software
• Verify algorithm and integration changes before release: unit tests, simulation scenarios, replay workflows, and hardware-in-the-loop checks
• Investigate failures from CI, field logs, and developer reports; reproduce issues and help resolving them
• Extend test coverage and internal utilities where routine checks can be automated

Engineering quality & delivery

• Improve and maintain CI/CD for the product codebase (builds, Docker images, automated test pipelines, release checks)
• Optimize hot paths and tooling where profiling shows clear wins
• Follow team code standards, participate in code review, and help keep the codebase maintainable

Simulation & replay tooling

• Run and maintain simulation and replay-based validation (software-in-the-loop, logged flight replay, autopilot estimator replay)
• Help expand test scenarios and regression checks as the product and integration surface grow
• Work with flight and navigation teams to turn real incidents into repeatable test cases
   

Required skills & experience

• 1+ years of professional software development experience, or strong equivalent from internships, pet projects, or open source with evidence of shipped work
• Solid Python: reading & extending existing codebases, writing tests, debugging
• Experience with multi-threading, multi-processing, or async applications
• Comfort with Linux as a daily development environment
• Experience with Git and collaborative workflows
• Basic understanding of automated testing (pytest or similar) and why regressions matter in production systems
• Ability to read logs, configs, and stack traces and communicate findings clearly to the team
• Docker for local and CI environments
• GitHub Actions or similar CI/CD
• English B2+ for documentation and technical discussion; Ukrainian for day-to-day team communication

Nice to have

• YAML-driven configuration (e.g. Hydra-style setups)
• MAVLink, drone autopilots, or robotics middleware
• Simulation experience (SITL, game-engine or physics simulators, recorded-data replay)
• HDF5 or other structured telemetry / time-series data
• C++ or willingness to work alongside C++ components when replay or autopilot tooling requires it
• Interest in embedded or resource-constrained targets

What we offer

• Competitive salary
• Reservation from mobilization
• Impact on improving our country's defense capabilities
• 21 days of vacation + public holidays, sick leaves

Looking for a Middle+/Senior C++ Engineer.

Requirements:

• Strong Modern C++
• Experience building efficient, reliable systems
• Concurrency / Multithreading
• Memory & Performance Optimization
• Linux (user-space; system-level is a plus)
• Experience designing scalable systems
• Understanding of latency / reliability / throughput trade-offs
• Ability to make technical decisions independently
• Profiling and performance optimization
• Strong debugging skills
• Unit and integration testing

We Value:

• High autonomy and ownership
• Ability to work in ambiguous R&D environments
• Focus on production-ready solutions

Our client, a high-tech defense company at the forefront of innovation, is looking for a Strategic Analyst. 

This role is a high-impact, cross-functional position focused on market intelligence, strategic planning, and analytical support for product and portfolio decisions. You will work closely with leadership to shape data-driven strategies in a fast-evolving defense and deep-tech environment. 

Key Responsibilities 

Market & TAM Analysis 

• Size addressable markets for client's product lines using bottom-up and comparable-based methodologies 
• Synthesize market data into structured models and materials for leadership and investors 
• Build and maintain a structured competitive database covering key players; analyze the global defense market 

Product & Portfolio Strategy Support 

• Support scoring and prioritization of client's product portfolio using structured frameworks 
• Build and maintain hypothesis models linking strategic bets to financial outcomes 
• Track progress against product strategy targets and flag deviations 
• Support preparation of investor-facing materials: comparable benchmarks, EV/Revenue multiples, valuation anchors 

Reporting & Knowledge Management 

• Produce competitive intelligence digests for leadership 
• Maintain a structured knowledge base of research, models, and strategic documents 
• Present findings clearly to non-technical stakeholders 

Requirements 

Hard Skills 

Excel / Financial Modeling 
Comfortable building bottom-up market models, unit economics, scenario analyses, and comparable tables - not just formatting, but true modeling logic. 

Market Research 
Ability to find, verify, and synthesize data from primary and secondary sources. Strong source hygiene - no reliance on unverified estimates. 

Competitive Intelligence 
Experience structuring competitive landscapes, tracking funding/contracts/partnerships, and identifying strategic implications. 

Structured Communication 
Ability to translate complex analysis into clear, decision-ready presentations. Investor- and executive-level quality is expected. 

English 
Professional working proficiency - capable of reading industry reports, writing briefs, and communicating with international partners. 

Background & Experience 

• 2–4 years of experience in strategy consulting, investment analysis, market research, or defense/tech industry roles 
• Exposure to B2G, defense, or deep-tech markets is a strong plus 
• Understanding of defense industry dynamics is a significant advantage 
• Bachelor’s degree in economics, international relations, or a related field 

Soft Skills 

• High analytical rigor - distinguishes between verified data and estimates; clearly flags uncertainty 
• Self-directed - able to define and scope research questions independently 
• Comfortable working with ambiguity in a fast-moving environment 
• Detail-oriented, with the ability to step back and see broader strategic implications 

We Offer 

• Official employment with competitive compensation and transparent terms 
• Paid vacation (24 calendar days per year) and paid sick leave 
• Medical insurance 
• Employee reservation (for eligible employees) 
• Opportunities for professional growth in a rapidly scaling company 
• A culture of trust, open communication, and initiative - where your ideas are heard and supported 

We are looking for a Technical Team Lead (ATE) to lead the development of automated test systems and drive the technical strategy of product testing in a manufacturing environment.

This role combines deep technical expertise with leadership responsibility. You will define the architecture of test solutions, make key engineering decisions, and grow a team of engineers. Your scope will cover the full testing lifecycle — from design analysis to manufacturing support and process optimization.

The ideal candidate has hands-on experience with ATE in production, understands DFT principles, and can build scalable and efficient test solutions.
 

Responsibilities:

1. Technical Strategy & Architecture

• Define test strategy (ICT / FCT / EOL) and ATE architecture
• Establish approaches for test coverage, fault isolation, and DFT
• Define engineering standards and best practices

2. Leadership & Team

• Lead and develop a team of test engineers
• Provide mentoring, design reviews, and technical guidance
• Make engineering decisions and trade-offs

3. Test Development

• Oversee development of test systems (fixtures, software, data infrastructure)
• Conduct DFT reviews with hardware teams
• Ensure production readiness of test solutions

4. Manufacturing & Optimization

• Support NPI → mass production transition
• Collaborate with manufacturing and contract manufacturers
• Optimize test time, yield, and line efficiency
• Lead root cause analysis

5. Data & Performance

• Analyze test data (yield, failure trends)
• Define KPIs and drive continuous improvement

Requirements:

1. Experience

• 5+ years in test engineering (PCBA / manufacturing / product)
• 2+ years of technical leadership experience
• Hands-on experience with ATE in production

2. ATE & Test Systems

• ICT / FCT / EOL testing
• Test fixtures and test infrastructure
• Test coverage, fault isolation, DFT

3. Manufacturing

• NPI → mass production
• Yield management, test optimization, line balancing
• Experience working with contract manufacturers

4. Embedded Systems

• Interfaces: UART, SPI, I2C, CAN, Ethernet
• Firmware flashing (secure flashing is a plus)
• Understanding of bootloaders and production firmware flows

5. Data & Metrics

• Yield analysis, failure Pareto
• KPI definition, SPC, GR&R

We offer:

• Competitive compensation and transparent conditions
• Military reservation (booking)
• Paid vacation and sick leave
• Health insurance
• Opportunity to influence technical decisions and product architecture
• Work with modern manufacturing environments and test systems
• Professional growth and development support
• Open culture and a strong engineering team

If you have relevant experience and are excited to contribute to a meaningful and impactful domain, we’d love to hear from you.

Send us your CV — we’ll be happy to review your application!

We are looking for a Middle Embedded Vision Integration Engineer to build and integrate sensor pipelines for precision turret systems operating under real-time and hardware constraints.

You will work on connecting and synchronizing cameras, rangefinders, and optical sensors into a cohesive embedded platform – ensuring reliable, low-latency data delivery to targeting and control systems. This role is ideal for an engineer who already has solid embedded Linux experience and wants to grow into full integration ownership, working on hardware bring-up, driver configuration, and pipeline development under the guidance of senior engineers.

You will work directly on defense projects for Ukraine, with a short path from implementation to field testing.

What We Offer

• Direct contribution to defense projects for Ukraine.
• Mentorship from top experts in vision hardware, robotics, and embedded systems.
• Hands-on involvement in integration and architecture decisions.
• Competitive compensation based on experience.
• Temporary military service exemption for work on defense-critical projects.

Requirements

Core Technical Skills – Required

• 3–5 years of commercial embedded software development.
• Degree in Computer Science, Electrical Engineering, Physics, or similar.
• Solid Linux embedded development experience (NVIDIA Jetson, ARM SoCs).
• Proficient in C++14/17; Python for tooling and scripting.
• Hands-on experience with camera integration: MIPI CSI, USB3, GigE Vision, or RTSP streams.
• Experience with video pipeline development: GStreamer, V4L2 (DeepStream is a plus).
• Basic experience integrating rangefinders or other sensors and reading their output at the system level.
• Understanding of optical systems: FOV characteristics, wide-angle vs. narrow-angle lenses, zoom control interfaces.
• Familiarity with hardware bring-up and peripheral integration (device trees or kernel modules are a plus).
• Understanding of real-time constraints, latency budgeting, and system timing.
• Ability to work with moderate supervision and take ownership of well-defined integration tasks.

Will Be a Plus

• Experience with thermal/IR cameras or night-vision imaging.
• PTZ or stabilized gimbal integration.
• IMU integration and sensor fusion basics.
• ROS/ROS2 experience.
• Multi-sensor time synchronization (PPS, hardware triggers, PTP).
• BSP customization or kernel module development.
• Model deployment pipelines on edge devices.
• Mission-critical or safety-critical systems experience.
• Remote telemetry or monitoring tooling.

Responsibilities

• Integrate and configure EO/IR cameras, laser rangefinders, and optical sensors into the turret platform.
• Build and maintain low-latency video pipelines supporting wide-angle (search/acquisition) and narrow-angle (tracking/engagement) channels.
• Implement FOV switching logic, inter-channel synchronization, and sensor alignment under senior guidance.
• Interface with rangefinder hardware and expose distance data to the targeting subsystem.
• Perform camera calibration and sensor-to-sensor geometric alignment.
• Collaborate with the CV team to ensure clean, well-timed data delivery to detection and tracking modules.
• Help integrate sensor outputs with turret control and stabilization systems.
• Participate in hardware selection and system architecture discussions.
• Support field testing, debugging, and system maintenance.
• Contribute to ensuring robustness and reliability of deployed sensor systems under field conditions.

Ideal Candidate Profile

You are a solid embedded engineer comfortable working close to hardware, with hands-on experience connecting cameras and sensors and building video pipelines on edge platforms. You can debug interfaces and timing issues, follow integration specs, and are ready to grow into full ownership of the integration layer with the support of senior engineers.

Шукаємо Senior / Lead Software Engineer (Data), який допоможе будувати й масштабувати production-grade data systems: пайплайни, сервіси та storage-рішення для збору, обробки, зберігання й доставки даних. Це роль для інженера з сильним software engineering mindset, який вміє працювати не лише на рівні реалізації, а й на рівні архітектури, data modeling, reliability, performance та technical leadership. Очікуємо, що людина зможе брати end-to-end ownership за критичні data workflows і впливати на стандарти команди.
 

Обовʼязки:

• Проєктувати, розробляти та підтримувати batch/streaming data pipelines і data services.
• Приймати технічні рішення щодо ingestion, orchestration, storage, трансформацій і delivery.
• Будувати ETL/ELT-рішення з використанням Python, Airflow, Cron.
• Інтегрувати дані з API, логів, NoSQL, IoT/embedded-джерел та внутрішніх сервісів.
• Проєктувати схеми зберігання, моделі даних і структури баз даних.
• Оптимізувати рішення з погляду performance, scalability, cost та maintainability.
• Забезпечувати data quality, observability, reliability і стабільність production-процесів.
• Планувати та реалізовувати міграції даних між платформами й форматами.
• Документувати схеми, трансформації, data lineage та ключові технічні рішення.
• Брати участь у code review, design discussions, incident resolution.
• Менторити інших інженерів і розвивати engineering standards у data-напрямку.
   

Вимоги:

• Значний досвід як Senior / Lead Software Engineer, Data Engineer або Backend Engineer у data-intensive середовищі.
• Сильний Python і досвід побудови production-ready рішень.
• Досвід роботи з Apache Airflow.
• Досвід роботи з MongoDB або іншими NoSQL-рішеннями.
• Сильне розуміння проєктування баз даних і data models: schema design, indexing, normalization/denormalization.
• Досвід роботи з великими обсягами даних, high-throughput або streaming workloads.
• Досвід із Azure Blob Storage або аналогічними object storage.
• Впевнене знання SQL та оптимізації запитів.
• Глибоке розуміння ETL/ELT, incremental processing, datalake/warehouse principles.
• Розуміння testing, observability, fault tolerance, idempotency, recovery для data systems.
• Досвід із Git, CI/CD, production deployment.
• Досвід технічного лідерства, mentoring, design review і роботи зі стейкхолдерами.
   

Буде плюсом:

• Snowflake, Elasticsearch
• Kafka або інші streaming-платформи
• Grafana / Prometheus
• Ansible або інші IaC / automation tools
• Power BI
• Досвід із cloud DWH, governance, lineage, internal data tools
  
  Надаємо бронювання*

We are looking for a Project Manager to lead UAV projects from concept to deployment, working with complex hardware and software systems.
In this role, you will work closely with engineering and product teams, as well as external partners, making sure projects move forward smoothly and solutions are delivered in line with technical requirements and real-world constraints.
 

Responsibilities
 

• Plan and manage projects end-to-end, defining scope, timelines, and key deliverables, while keeping track of dependencies between hardware and software
• Coordinate engineering, product, and partner teams, ensuring alignment and steady progress
• Identify risks early and address issues before they impact delivery
• Work with partners, clients, and institutional stakeholders, providing updates and resolving issues as they arise
• Manage budgets and resources, ensuring efficient use and alignment with project goals
• Support the transition from prototype to deployment together with hardware and manufacturing partners
• Oversee testing, validate system performance, and ensure solutions meet quality and operational requirements
• Review results, identify improvements, and work with engineering teams to implement them
• Maintain clear and structured project documentation

• Support rollout and scaling of solutions in operational environments

   

Requirements
 

• 3+ years of experience as a Project Manager
• Experience working with hardware systems or complex technical products
  (preferably UAV / UAS or miltech projects)
• Understanding of how products move from development to deployment
• Experience working with cross-functional teams in engineering environments
• Ability to work with complex systems, dependencies, and uncertainty
• Experience in risk management and problem-solving
• Strong communication skills and ability to align different stakeholders
• Experience working with partners, clients, or institutional stakeholders
• Understanding of testing and quality assurance processes
• Experience working with hardware partners and product delivery
• Proficiency with project management tools
• Intermediate (B1+) level of English or higher
   

Will be a plus
 

• Experience in defense or miltech projects
• Understanding of regulatory or certification requirements
   

We Offer
 

• Official employment under Ukrainian labor law
• Military reservation
• Medical insurance
• Individual English lessons
• Stock Options

An AI consulting group that builds serious, production-grade systems for companies ready to operationalize artificial intelligence across their business. We do not build gimmicks. The main focus is on custom AI solutions that integrate directly into operations and drive measurable results. 

 

We’re looking for a Senior AI Engineer for one of our clients. This is a hands-on role for someone who doesn’t just experiment with AI, but has built, deployed, and optimized real AI systems in complex, production environments.

 

This role is for someone who takes full ownership of AI systems — from architecture to performance. You’ll work at the intersection of LLMs, distributed data processing, and backend systems, building scalable AI pipelines and knowledge systems in a high-impact environment where performance, reliability, and flexibility (including airgapped deployments) matter.

 

Your responsibilities will include:

• Design and build distributed data pipelines (Apache Beam, Python) for large-scale document and model processing;
• Implement horizontally scalable LLM-powered extraction workflows across thousands of entities;
• Build runner-agnostic pipelines that run across multiple environments (local, cloud, on-prem);
• Design and implement entity resolution and cross-referencing systems with confidence scoring;
  Architect and build graph-based Knowledge Bases (Dgraph or similar), including schema design and query optimization;
• Develop pluggable LLM extractor frameworks (classification, relationships, completeness, document linking);
• Build abstraction layers for LLM providers (Anthropic Claude, Google Gemini, local models via Ollama/vLLM);
• Optimize LLM usage for cost, latency, and reliability in production environments;
• Design and implement backend service layers (Go-based APIs) connecting AI pipelines with agent systems;
• Ensure observability, debugging, and performance monitoring across distributed AI systems;
• Package and deploy systems using Docker (docker-compose, containerized environments);
• Collaborate directly with client teams on integrations, validation, and production rollout.
  
   

What we expect from you:

• 5–8+ years of experience in AI Engineering, Data Engineering, or Applied ML Infrastructure;
• Expert-level Python;
• Strong experience with distributed processing frameworks (Apache Beam preferred; Spark/Flink acceptable);
• Hands-on experience integrating LLMs in production (prompting, orchestration, provider abstraction);
• Experience with graph databases (Dgraph, Neo4j, JanusGraph, or similar);
• Strong understanding of distributed systems, parallel processing, and large-scale data pipelines;
• Solid SQL and data modeling fundamentals;
• Experience with Docker and containerized deployments;
• Experience with cloud platforms (GCP preferred, AWS/Azure acceptable);
• Strong backend/system design mindset (performance, scalability, reliability);
• Ability to work independently and take ownership without micromanagement;
• Strong problem-solving skills in complex, ambiguous environments;
• English level: B2+ (C1 preferred);
• Availability to overlap with US business hours.
  
   

Nice to have:

• Working experience with Go (for API/service layer contributions);
• Experience with local LLM inference (Ollama, vLLM, TensorRT-LLM);
• Experience deploying systems in airgapped or restricted environments;
• Background in defense, aerospace, or complex enterprise systems;
• Familiarity with MBSE / SysML tooling and model-based data (XMI, Cameo, etc.);
• Experience with document parsing pipelines (Docling, Unstructured, etc.);
• Experience with orchestration tools (Airflow, Dagster, Prefect).
  
   

We offer:

• Four-month full-time contract engagement;
• Remote work with overlap in US business hours;
• High-impact project with direct influence on production AI systems;
• Close collaboration with client’s product and engineering teams;
• Opportunity to build core infrastructure for real-world AI applications — not prototypes.

We are looking for the first Data Science engineers to join our team and play a foundational role in building a private Large Language Model from the ground up. This is a rare opportunity to shape the technical direction, influence architectural decisions, and establish best practices for intelligent systems within the organization.

What you will do: 

• Design, build, and maintain classical machine learning models to support core product needs.
• Develop agent-based systems (LLM agents, multi-step agents, agent-to-agent workflows) as part of the broader LLM ecosystem.
• Conduct rigorous experiments and iterate quickly to validate approaches and improve system performance.
• Build and optimize inference pipelines, including performance tuning, monitoring, and alerting.
• Collaborate closely with Data Engineering to deploy models securely and reliably into production environments.

• Contribute to defining standards, workflows, and tooling for the new Data Science function.

   

What we expect:

• 3+ years of hands-on experience with Python.
• Strong SQL skills and understanding of data workflows.
• Solid grasp of machine learning methods and their practical applications.
• Experience building agents or agent-based systems is a strong plus.
• Initiative, ownership, and readiness to work in a greenfield environment where many solutions must be defined from scratch.

About the Role
We are looking for a Yocto Engineer to design, develop, and maintain customized
Embedded Linux distributions using the Yocto Project. You will work closely with
hardware, firmware, and application teams to deliver stable, secure, and production-
ready Linux images for embedded devices.

Responsibilities
• Design, build, and maintain Yocto-based Linux distributions
• Create and maintain BSP layers, recipes, and image configurations
• Integrate and customize bootloaders and Linux kernel
• Optimize build times, image size, and system performance
• Debug build and runtime issues (BitBake, kernel, userspace)
• Integrate device drivers, middleware, and third-party packages
• Ensure compliance with licensing (GPL, LGPL, OSS)
• Support CI/CD pipelines for automated builds
• Collaborate with hardware, QA, and software teams
• Maintain technical documentation

Requirements
• Strong experience with Yocto Project / OpenEmbedded
• Solid knowledge of Embedded Linux architecture
• Experience with BitBake, recipes, layers, and configuration files
• Proficiency in build automation tools: Autotools, Make, CMake, Ninja, Meson
• Proficiency in scripting: Bash, Python
• Advanced knowledge in C&C++
• Hands-on experience with Linux kernel configuration and debugging
• Familiarity with cross-compilation toolchains
• Experience working with ARM-based platforms
• Knowledge of Git and collaborative development workflows
• Ability to debug low-level system issues

Nice to Have
• Experience with BSP bring-up on new hardware
• Experience with Buildroot or other embedded build systems
• Familiarity with secure boot, OTA updates, or SWUpdate / RAUC / Mender
• Understanding of real-time Linux (PREEMPT_RT)
• Experience with CI systems (Jenkins, GitLab CI, etc.)

Will be a plus:
• Opensource contribution
• Kernel drivers development
• System and kernel profiling
Education
• Bachelor’s or Master’s degree in Computer Science, Computer Engineering,
Electronics, or related field
(or equivalent practical experience)
What We Offer
• Opportunity to work on cutting-edge embedded products
• Competitive salary and benefits
• Flexible working model (remote / hybrid / onsite)
• Professional growth and learning opportunities
• Collaborative and engineering-focused culture