Jobs at Djinni

About the Project

We’re building an AI-powered video platform that aggregates and processes content from multiple social media sources. Users interact with video data through contextual search, LLM-powered features, and AI agent workflows.

You’ll join a small, focused engineering team working closely with technical leadership and product stakeholders, contributing across the stack with a strong focus on backend development and AWS infrastructure.

Tech Stack

Backend — Node.js / TypeScript

• Node.js
• TypeScript
• AWS Lambda
• AWS SDK
• Express
• Serverless Framework
• Zod
• Lodash

Backend — Python

• Python 3.13
• Pydantic
• Strands Agents / Strands Agents Tools
• boto3
• AWS Lambda Powertools
• Loguru
• httpx / requests / aiohttp
• uv

Frontend

• React 19
• TypeScript
• Vite
• React Query
• Zod
• AWS Amplify
• Axios
• i18next
• Tailwind CSS
• Ant Design
• React Toastify

Cloud & Infrastructure

• AWS
• Lambda
• Cognito
• DynamoDB
• Step Functions
• Serverless
• Terraform

Your Role

As a Full-Stack Engineer with a backend focus, you’ll work across the application while taking significant ownership of backend services, APIs, AWS infrastructure, and integrations.

The core backend stack is Node.js / TypeScript, with Python used for AI agents and related services. You’ll also contribute to React-based frontend development when needed.

Responsibilities

• Design, develop, and maintain backend services using Node.js and TypeScript
• Build and maintain serverless services and APIs on AWS Lambda
• Work with AWS services including Cognito, DynamoDB, Lambda, and Step Functions
• Develop integrations between backend services, AI agents, and external APIs
• Contribute to Python-based AI and agent services
• Build and maintain frontend functionality using React and TypeScript
• Design reliable data flows and asynchronous workflows
• Contribute to AWS infrastructure and Infrastructure-as-Code
• Troubleshoot performance, integration, and production issues across the stack

• Collaborate with product, AI, and engineering teams on architecture and implementation decisions

   

What We’re Looking For

• Mid-to-Senior level experience in full-stack software development
• Strong commercial experience with Node.js and TypeScript
• Strong experience with React and TypeScript
• Good understanding of backend architecture and REST APIs
• Practical experience with AWS, particularly serverless architecture
• Experience with services such as Lambda, Cognito, DynamoDB, and Step Functions
• At least basic-to-intermediate knowledge of Python and the ability to work with an existing Python codebase
• Understanding of Infrastructure-as-Code and cloud infrastructure
• Ability to work independently and take ownership of technical solutions
• English B2 or higher

Nice to Have

AI / LLM integrations

• Experience integrating OpenAI, Anthropic, or Google GenAI
• Experience with AWS Bedrock / Bedrock AgentCore
• Familiarity with Instructor
• Experience with AI agent frameworks, ideally Strands Agents
• Experience building LLM-powered workflows or agent-based systems

Observability

• Datadog
• ddtrace
• datadog-lambda

• AWS X-Ray

   

Infrastructure

• Terraform
• Serverless Framework
• Experience designing event-driven or distributed AWS architectures

Being part of 3asoft means having

• High level of flexibility and freedom
• Direct communication with international customers
• Competitive compensation paid in USD
• Fully remote work

About the Project

We are building a modern cloud-based web platform designed to deliver scalable and reliable solutions for its users. The product combines a robust Python backend with a dynamic React frontend and relies on AWS services to support a flexible, cloud-native architecture.

What you'll do:

• Develop and maintain end-to-end product features across backend and frontend.
• Build scalable backend services using Python and FastAPI.
• Create responsive and maintainable interfaces with React and JavaScript/TypeScript.
• Design, integrate, and maintain GraphQL and REST APIs.
• Work with relational and NoSQL databases depending on the product requirements.
• Develop and integrate cloud-based solutions using AWS services.
• Contribute to application architecture and help improve scalability, reliability, and performance.
• Implement and maintain effective logging, monitoring, and observability practices.
• Participate in code reviews, technical discussions, debugging, and collaborative development processes.

• Work closely with other engineers and stakeholders to turn product requirements into reliable technical solutions.

   

Requirements:

• 5+ years of professional experience in software development.
• Strong hands-on experience with Python and FastAPI.
• Solid background in React and modern JavaScript/TypeScript development.
• Practical experience designing and integrating GraphQL APIs.
• Good knowledge of relational databases such as PostgreSQL or MySQL.
• Experience building applications on AWS and working with services such as Lambda, DynamoDB, S3, AppSync, and CloudWatch.
• Understanding of cloud-native architecture and modern approaches to building scalable web applications.
• Experience with application monitoring, logging, and observability.
• Good knowledge of REST APIs, authentication mechanisms, and web application architecture.
• Confident use of Git and experience working within collaborative engineering teams.
• Upper-Intermediate English (B2) or higher.

Triton Growth is a Vancouver-based performance marketing agency and a Google Premier Partner + YouTube Select Partner. We run paid acquisition for high-ticket education, coaching, and info-product clients in North America, with 4B+ ad views delivered.

We're hiring a senior YouTube media buyer to own client accounts end to end.
 

What you'll do:

• Own client accounts across YouTube In-Stream and Demand Gen: strategy, builds, optimization, scaling
• Manage $50K-$300K+/month in spend per account
• Work with our creative team on hooks, scripts, and ad iterations driven by performance data
• Join weekly client calls with North American clients and present results

Requirements:

• 3+ years on Google Ads with significant YouTube direct response experience, $50K+/month managed personally
• You understand DR fundamentals: CPA/ROAS targets, funnel math, creative testing. Brand/awareness-only YouTube experience is not a fit
• Fluent spoken English. This is a client-facing role
• Strong Meta experience alongside YouTube is a plus, not required

What you get:

• USD compensation, paid monthly, full-time contractor
• Fully remote, some overlap with Pacific time mornings required
• Learn from a team that runs YouTube DR at a level very few agencies do
• Direct access to founders, no layers

Hiring process: 2-min Loom with application → 20-min video call → paid test task ($300) → offer with 30-day paid trial.

Our startup is growing fast, and we already have real clients using and testing the product. That is why we are looking for a strong Frontend Developer with solid experience in Vue.js / Nuxt.js who wants to join us at an early stage and become part of building a real technology company.

We are especially interested in candidates with experience building SaaS, dashboards, platforms, B2B products, and complex web applications - not only landing pages or regular websites. We would also like to understand what you personally built, what responsibilities you had, and what technical problems you solved.
 

English B1-B2 is required, as English is the main language of communication within our international team.

What We Are Looking For

• Strong practical experience with Vue.js 3
• Good experience with Nuxt 3
• Strong knowledge of JavaScript / TypeScript
• Good understanding of HTML, CSS and responsive web development
• Experience working with REST APIs and integrating frontend applications with backend services
• Understanding of component architecture, state management and modern frontend development practices
• Ability to build clean, maintainable and reusable frontend components
• Experience working with complex product interfaces and business logic
• English B1–B2

What We Offer

• Full remote work
• Flexible schedule
• Opportunity to join an active startup at an early stage
• Real influence on frontend architecture and technical decisions
• Small team without unnecessary bureaucracy

Important

We are looking not just for someone who can convert designs into pages, but for an engineer who understands how modern web applications should be built and can take responsibility for features from implementation to production.

We value developers who can think about usability, architecture, performance and maintainability - not only complete individual tasks.

When applying, please include examples of real projects where you personally worked with Vue.js / Nuxt.js, especially complex web applications, dashboards, B2B products, or products with significant business logic.

Level: Middle 

Engagement: Long-term contract

Location: Europe (EU / EEA / UK), remote 

Working hours: EU business hours, shifted 2–3 hours later to ensure daily overlap with US West Coast (PST/PDT) mornings

About the Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Middle-level SDET to design and maintain automated tests for a large-scale distributed data platform. You will validate the correctness, performance, and reliability of the query engine, connectivity layer, and backend services across all major clouds.

This is a data-heavy, backend-focused role. We are not looking for web/UI QA engineers — the work centers on validating distributed query execution, data correctness at scale, connectivity drivers, and backend microservices.

Responsibilities

• Develop and maintain automated tests in Python / pytest for backend services, REST APIs, and distributed data components.
• Write end-to-end, integration, and regression tests covering SQL query execution, data correctness, and platform APIs.
• Support performance and load testing with JMeter, including workloads over JDBC / ODBC / Arrow Flight drivers.
• Validate data-intensive scenarios — query plans, result correctness across data sources, metadata consistency, and behavior under concurrency.
• Contribute to CI/CD test pipelines in Jenkins — configure, maintain, and troubleshoot.
• Provision and manage test environments in Kubernetes (GKE / EKS / AKS) across GCP, AWS, and Azure using Docker.
• Investigate failures across the stack — query engine, distributed services, drivers, infrastructure — and drive them to resolution with engineering.
• Collaborate with US-based developers on testability and quality gates.
•  

Required Qualifications

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Python, including pytest, with a solid grasp of OOP and software design principles.
• SQL & Data: Strong SQL skills and solid understanding of how relational and analytical data systems work.
• Data-intensive testing experience: Hands-on experience testing data-intensive systems — query engines, ETL/ELT pipelines, streaming platforms, or analytical databases. Candidates with only web/UI QA backgrounds are not a fit.
• Testing experience: 3+ years in backend/system test automation or SDET roles.
• CI/CD & DevOps basics: Practical experience with Jenkins pipelines and deploying/maintaining test environments.
• Containers: Working knowledge of Docker and basic Kubernetes (running workloads, debugging pods, kubectl fluency).
• Cloud: Comfortable operating in at least one major cloud (GCP, AWS, or Azure).
• Version Control: Confident with Git / GitHub workflows.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.
•  

Desired Skills

• Experience testing REST APIs and backend microservices at scale.
• Familiarity with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• Understanding of modern data lakehouse concepts, open table formats (Apache Iceberg), and data warehousing.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Performance testing with JMeter or comparable load-testing tools.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Understanding of query plan generation, query acceleration / materializations, and metadata integrity in distributed data systems.

CreditBooster.ai's mission is to help every American understand, build, and own their credit. We're an AI-native credit improvement platform, live on the App Store and Google Play, with paying customers and a small remote team across the US and Europe.
 

About the role

We're hiring for a mindset more than for a stack: the engineer who treats a piece of the product as theirs and holds themselves to whether it actually works for the person using it.

That means ownership that follows the experience wherever it lives. A flow starts on a mobile screen, continues on the web, and runs through the API behind both, and we want someone who goes all the way down rather than stopping at a repo boundary. That's usually where the quality of an experience is won or lost.

AI is not a slogan here, it's how we build. Our designer shipped the referral page that's live in production today working with an agent. Our CPO built one of our web apps the same way. The standard we hold ourselves to is not handing a ticket to an agent and approving the result: you plan with it, read the plan properly, push back, iterate, and stay responsible for what ships.

We move fast and we're deliberately not over-gated, even in fintech. Freedom to move, judged on results.

Fully remote. We hire across Europe and Ukraine and across the Americas, including Canada, Mexico and Brazil, with morning Chicago overlap for standups and demos. Our working overlap is only about four hours a day, so being genuinely effective asynchronously matters here. We'd rather say that plainly than have you discover it in month two.
 

Responsibilities

• Own a product surface end to end: the mobile screen, the web equivalent, and the API behind both, with accountability for whether it works and not just for whether it shipped
• Ship across React Native (Expo) on iOS and Android, our web app, and our Astro landing site
• Cross the boundary rather than filing a ticket at it: Node.js, Fastify, TypeScript, and PostgreSQL are within reach when the surface you own needs them
• Hold the quality bar on what you own, from symptom to root cause to a fix you can prove held
• Use Claude Code, MCP servers, and your own agents to compress engineering work that used to take days into hours, while staying responsible for everything that merges
• Manage releases across App Store and Google Play: EAS builds, rollouts, OTA updates
   

The kind of work you'll see in your first sprint

• Taking one user-facing flow end to end and coming back with your own read on where it should be better, across mobile, web, and API
• A recurring production bug traced to root cause rather than patched at the symptom
• A view on the React Native versus native question, argued from the codebase rather than from preference
   

What we're looking for

• You've owned something, not just contributed to it. You can point at a surface in a product and say it was yours, describe what would have gone wrong without you, and separate what you owned from what your team delivered. This is the single thing we're screening hardest for
• You have real native experience, and this one is not negotiable. Swift or Kotlin, native modules, and apps you have shipped through App Store and Play Store review. If your mobile work is entirely inside JavaScript, we will not be able to move forward.
• You work across mobile and web. React Native is where most of the product lives, but a surface that stops at the repo boundary isn't owned. You're comfortable in a web codebase and not helpless behind an API
• You're AI-native in how you build. Claude Code or an equivalent agentic CLI is part of your daily workflow. You've built your own skills, agents, or MCP servers that automate real engineering work. You see agents as your primary collaborator, and you can also tell us about a time one was confidently wrong and how you caught it
• You debug for real. You go symptom to root cause to verification, and you know the difference between a bug that stopped reproducing and a bug that got fixed
• You're not attached to a framework as an identity. We may move to Swift. We may not. Either way we want someone who argues it from the codebase and then commits
• You ship without waiting for a spec. Often there's a problem and an owner, not a written specification
   

You may be a good fit if you have

• 4+ years building product software, with native Swift or Kotlin and apps you have shipped through App Store and Google Play review
• A product area you owned in production. Be ready to walk us through it: what it was supposed to do, what broke, what you changed, and how you knew things got better
• Real web experience alongside mobile: React or a modern web framework, in production
• TypeScript strict-mode discipline
• Enough Node.js and SQL fluency to fix the endpoint behind your own screen
• Effective written communication in English (B2 or higher). Our team works in Russian day to day, so you need to be comfortable speaking it, and Linear, code, and customer-facing copy are English
   

Bonus

React Native (Expo) in production. Most of the product lives there today, so it helps, but we would rather hire a strong native engineer who picks up React Native than a React Native engineer who cannot go native. Fintech, lending, KYC, or other regulated-domain work. Expo EAS pipeline ownership and store release experience. Astro or comparable modern web frameworks. A public Claude Code skill, MCP server, or contribution to an open-source agent harness. Founding engineer or first-few-hires experience at a small company, where owning the whole thing was the default.

Kombocode is a small engineering consultancy. We build and fix AI systems for healthcare tech companies in the US. The founder is an engineer with 20+ years of enterprise software experience. You work with her directly.

The role

LinkedIn lead gen for a focused ICP: technical leaders (CTO, VP Engineering, Head of Platform, VP AI) at US healthcare tech companies, Series B to growth stage, 80 to 300 people.

You'll need some overlap with US East Coast hours.

Why this is a good gig

• No bureaucracy. One person makes every decision and answers on Telegram, usually within the hour
• AI for US healthcare is where the money is right now. A year of lead gen in this niche does more for your future rate than three years of selling generic SaaS. 
• You book a call, you get the credit and the bonus. Nobody in between.

The number that matters

4 to 5 qualified sales calls booked per month. That's the KPI.

How you get there is your call. Channels, sequences, angles, timing, your playbook. We're hiring you for your approach, not to execute ours.

What you'll do

• Find and qualify prospects against our ICP criteria (Sales Navigator, Apollo, Crunchbase)
• Build and run your own outreach approach. We have voice rules and banned phrases your messages need to pass, the strategy is yours
• Personalize every message. A template without personalization doesn't get sent
• Keep HubSpot clean: statuses, duplicate checks before every send
• Weekly report: campaign stats and prospect replies word for word
• Handle first replies and pass warm contacts to the founder

What we need

• 3+ years of LinkedIn lead gen, ideally into the US market
• English B2 or better, you'll be writing to technical leaders at American companies
• Sales Navigator plus at least one enrichment tool (Apollo, Clay, Snov.io)
• CRM experience
• You read instructions and follow them. We have written voice rules, banned phrases, excluded accounts
• You can run your own work without a manager checking in

Nice to have

• Some feel for US healthcare or B2B SaaS
• Experience with narrow ICPs where you can't brute force the number

Terms

• $400 to $500 per month fixed
• $25 per qualified call
• $100 per signed contract from those calls
• We talk on Telegram

Trial period

First two months are a trial. Full base and bonuses.

• Month one we're not counting calls. We're looking at whether the list is actually ICP, whether your messages read like a person wrote them, and whether the CRM and weekly report are clean.
• Month two the 4 to 5 calls KPI applies in full.
• Will have 2-3 calls/week on Trial, then 1-2 calls/week as needed after trial.
• At the end of two months we either keep going or we don't, and you'll hear which one straight.

How to apply

1. A short note about your best LinkedIn campaign: niche and numbers
2. Written interview
3. Test task: qualify 5 profiles against our criteria
4. Call and offer

About the role

This is an on-site position in Abu Dhabi, UAE. We are looking for a hands-on Forward Deployed AI Engineer to build and operate production agentic AI systems within a complex operational business.

You will work directly with stakeholders and a cross-functional engineering squad to understand business challenges, translate them into practical technical requirements, and deliver solutions from discovery and design through implementation, deployment, operation, and continuous improvement. This is a build-first individual-contributor role with end-to-end engineering responsibility for assigned solutions.

What you will do

Understand before you build

• Collaborate directly with stakeholders to translate operational needs into clear technical requirements, constraints, and delivery priorities.
• Contribute across discovery and solution design, then implement, deploy, operate, and continuously improve the resulting systems.
• Challenge assumptions, identify underlying operational drivers, and recognize when AI is not the appropriate solution.

Agentic AI solution development

• Design, build, deploy, and continuously improve enterprise-grade agentic AI applications as the primary engineering approach.
• Develop AI agents capable of multi-step reasoning, tool and API orchestration, context management, exception handling, and human-in-the-loop workflows at enterprise scale.
• Implement Retrieval-Augmented Generation solutions, including data ingestion, chunking, vector representations, vector search, retrieval optimization, grounding, and source traceability.
• Connect AI systems to enterprise platforms through Model Context Protocol (MCP), REST APIs, OpenAPI specifications, webhooks, messaging, and event-driven architectures.
• Create reusable, self-service AI services and interfaces that can support multiple business domains.
• Apply structured LLM engineering practices, including tool calling, schema validation, retries, fallbacks, guardrails, and clear recovery paths.

Quality, reliability and governance

• Take responsibility for the quality of assigned solutions through testing, evaluation, observability, structured logging, version control, and continuous feedback mechanisms.
• Optimize deployed solutions across accuracy, reliability, performance, security, latency, and cost.
• Apply security, privacy, access-control, auditability, responsible-AI, and governance requirements throughout solution design and operation.

Delivery and collaboration

• Work closely with product owners, AI architects, engineers, and business stakeholders across discovery and delivery.
• Implement robust multi-agent systems, agent-to-agent communication patterns, tool-orchestration flows, and evaluation frameworks within the agreed solution architecture.
• Contribute reusable components, documented patterns, implementation guidance, and operational runbooks that other engineers can adopt.
• Participate in design discussions, code reviews, testing, release preparation, production troubleshooting, and post-release improvement.
• Communicate delivery progress, technical risks, dependencies, and trade-offs clearly to technical and non-technical stakeholders.

Required skills and experience

• Demonstrated curiosity and a strong drive to understand complex business and operational challenges before proposing a solution.
• A business-first, human-centered approach that treats AI as a way to augment people rather than replace them.
• Excellent English communication skills and experience working effectively in diverse, international teams.
• Strong experience building production-grade software, including practical delivery with Generative AI, Large Language Models, or applied machine learning and hands-on experience designing and deploying agentic AI solutions.
• Proven ability to deliver AI applications from requirements and design through implementation, deployment, and production support.
• Strong Python programming skills and expertise in at least one additional language: TypeScript/JavaScript, Java, or C#.
• Hands-on experience or strong working knowledge of MCP for connecting AI agents with systems, tools, APIs, and data sources.
• Practical experience with one or more modern agent orchestration frameworks or enterprise AI platforms.
• Strong understanding of asynchronous programming, API development, typed data validation, CI/CD, testing strategies, source control, logging, and error handling.
• Experience with vector databases or search platforms and production RAG patterns.
• Experience integrating enterprise systems through APIs, managed identities, middleware, webhooks, messaging queues, and cloud-native architectures.
• Practical experience deploying containerized solutions in cloud environments with monitoring and observability.
• Strong judgment across quality, latency, reliability, security, governance, and cost trade-offs.

Will be a plus

• Experience in aviation, transportation, logistics, supply chain, cargo operations, customer service, or other complex operational environments.
• Background in classical machine learning, data science, or advanced analytics.
• Full-stack engineering experience across front-end, API, and back-end systems.
• Experience with Voice AI, email automation, CRM integrations, workflow automation, or multilingual AI solutions.
• Experience building evaluation frameworks, golden datasets, simulation-based testing, regression suites, and AI quality-measurement systems.
• Experience designing multi-agent architectures, agent registries, agent-to-agent communication, and tool-orchestration standards.
• Experience working effectively with external AI platforms, startups, or technology providers as part of a broader delivery team.
• Relevant certifications in cloud AI, Generative AI, agentic AI, MLOps, or related disciplines.

Work model and relocation

The role is full-time and onsite in Abu Dhabi, UAE, for an initial one-year assignment with possible extension. The selected candidate will be employed through the designated UAE company. Planned support includes the UAE employment visa, employee medical insurance, an initial flight to the UAE, a return flight at the end of the assignment, an approved broker fee, apartment-search assistance and local arrival support (subject to the final written offer).

We are looking for a Marketing Manager to join our growing team.

We are a friendly team of passionate professionals committed to delivering reliable software solutions for customers from all around the world.This role is a good fit for someone with a marketing background, an interest in B2B, and a desire to grow in IT services marketing.

Requirements

• 1+ year of experience in marketing.
• Experience in marketing, preferably in B2B or IT services.
• Understanding of B2B marketing and the software development market.
• Experience with organizing content processes: creating content plans, coordinating content production, managing deadlines, publishing, and distributing content across channels.
• Ability to write and edit LinkedIn posts, articles, case studies, and short marketing texts.
• Understanding of listing and rating platforms such as Clutch, GoodFirms, DesignRush, G2, or similar directories.
• Experience working with client reviews: collecting, organizing, publishing, and updating them on relevant platforms.
• Ability to coordinate work with copywriters, SEO specialists, designers, developers, and the sales team.
• Knowledge of SEO fundamentals, content marketing, GA4, and Google Search Console.
• English level from Intermediate, B1+, to work with content and communicate effectively.
   

Responsibilities

• Creating and maintaining content plans for marketing activities.
• Organizing the content production process: collecting inputs, coordinating tasks, tracking deadlines, and checking content before publication.
• Writing, editing, and publishing LinkedIn posts, articles, case studies, and other marketing materials.
• Managing content distribution across different channels 
• Working with listing platforms: updating company profiles, checking information, and improving content quality.
• Supporting the review collection process and keeping client reviews organized.
• Planning and launching marketing outreach campaigns: preparing ICPs, messaging ideas, supporting materials, and tracking results.
• Preparing briefs and tech assignments for copywriters, designers, developers, and other specialists.
• Managing SEO and tracking its performance.
• Working closely with the sales team to prepare relevant materials and collect insights about leads and clients.
• Supporting the marketing team with competitor research, market research, and content ideas.
   

Will be a plus

• Experience in service-based IT companies.
• Experience managing LinkedIn pages or personal brands.
• Experience working with Reddit, Quora, or similar platforms.
• Knowledge of email marketing.
• Experience preparing marketing materials for sales outreach.

We offer

• Flexible work format: remote, 8-hour working day without time trackers.
• Competitive salary.
• Tight-knit and friendly team.
• Personalized career growth.
• Up to 50% coverage of the cost of professional courses.
• Vacation time, sick leaves, and national holidays.
• Competitive bonuses for personal recommendations of new employees.
• Professional development tools: mentorship program, tech talks, and workshops.
• English classes with a teacher.
• Corporate events and team buildings.

Overview

We are looking for an experienced UAV Pilot-Technician (multirotor) to join the flight team responsible for testing our flagship R&D product — a GPS-denied alternative navigation system. The candidate must confidently operate drones, be technically literate, have a deep understanding of UAV core components, and hands-on experience with Ardupilot-based systems.

The role combines hands-on piloting of multirotor UAVs with testing and technical support of all flight-related aspects.

Responsibilities

• Pilot multirotor UAVs & fixed-wings in field-testing scenarios
• Perform pre-flight checks and UAV setup
• Maintain airframes and supporting equipment
• Support flight planning and adherence to safety procedures
• Troubleshoot and repair UAV hardware issues
• Record and report flight data as needed
• Collaborate with engineers during testing and development of new platforms

Requirements

Must-have

• Real flight time on multirotor UAVs
• Solid understanding of how core UAV components work
• Advanced-user level of Ardupilot
• Experience with mission-planning software (Mission Planner)
• Ability to safely operate a drone in field conditions
• Diagnostic and repair skills for UAVs and supporting equipment

Nice to have

• STEM (Science, Technology, Engineering, Mathematics) education
• Experience with fixed-wing UAVs
• Combat experience
• English at B1 level or higher

Personal qualities

• Responsibility
• Attention to detail
• Communication skills and ability to work in a team
• Initiative

We offer

• Competitive salary
• Reservation from mobilization
• On-site work with access to hardware and lab facilities
• Office in Kyiv with shelter access, generator and Starlink
• 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

We are looking for a Project Manager to join Sigma Software’s IT Solutions department and lead cross-functional transformation initiatives across the company. In this role, you will coordinate enterprise-level projects focused on process optimization, automation, and adoption of modern digital and AI-driven solutions

You will work in a complex environment with multiple stakeholders, balancing strategic goals with operational delivery while ensuring measurable business value. The position is open in a remote or hybrid format depending on your location

We at Sigma Software continuously invest in internal innovation and digital transformation to provide our employees with the best tools and environments for effective work. This role offers the opportunity to influence company-wide initiatives, work with modern technologies, and contribute to the adoption of AI-supported approaches across the organization

CUSTOMER 

Sigma Software’s IT Solutions department is responsible for building and evolving internal organizational capabilities through the implementation and development of business applications and digital solutions. The department supports multiple business functions across the company and focuses on improving operational efficiency, collaboration, automation, and employee experience through modern technologies and transformation initiatives.

PROJECT 

The project portfolio includes enterprise-wide transformation initiatives aimed at improving operational efficiency, optimizing internal processes, and implementing scalable digital and AI-powered solutions across the company. The Project Manager will coordinate multiple parallel initiatives involving business and technical stakeholders while ensuring transparent delivery, effective communication, and incremental business value

Key Technologies: Azure DevOps, Confluence, Enterprise Collaboration Tools, Automation Platforms, AI-assisted Productivity Tools

Job Description

• Plan, manage, and monitor project execution to ensure delivery on time and within budget
• Drive end-to-end project lifecycle management using appropriate delivery methodologies and best practices
• Lead cross-functional transformation initiatives involving multiple business units and internal teams
• Align business and technology stakeholders around project goals, priorities, and expected outcomes
• Identify opportunities for process optimization, automation, and operational efficiency improvements
• Promote and support the adoption of AI-driven approaches within project delivery and workflows
• Perform risk analysis and proactively manage delivery risks and dependencies
• Monitor project KPIs and implement corrective actions when needed
• Ensure transparent communication and structured project documentation
• Coordinate and support delivery teams, including onboarding and professional growth activities
• Contribute to the continuous improvement of delivery processes and project management practices

Qualifications

• At least 5 years of experience in project management
• Proven experience managing cross-functional or transformation initiatives
• Experience working in enterprise environments with multiple stakeholders and parallel projects
• Strong understanding of project management methodologies and delivery frameworks
• Experience collaborating with technical teams and managing IT-related projects
• Understanding of modern technologies, integrations, and automation approaches
• Knowledge of Agile, Scrum, Kanban, or hybrid delivery approaches
• Strong risk management and decision-making capabilities
• Awareness of AI capabilities and willingness to integrate AI into workflows
• Intermediate English level or higher

Will be a plus

• Experience with enterprise digital transformation programs
• Experience implementing automation or AI-driven business solutions
• PMP, PRINCE2, Agile, or similar certifications
• Experience with process improvement methodologies

Personal Profile

• Proactive and ownership-driven mindset
• Strong organizational and prioritization skills
• Strong communication and stakeholder management skills
• Excellent leadership, negotiation, and problem-solving abilities
• Ability to work effectively in dynamic environments
• Collaborative and team-oriented approach
• Strong analytical and strategic thinking
• Ability to build trust with stakeholders across different business functions
• Continuous improvement mindset and openness to innovation

Coinask.ai — a B2C AI SaaS product at the intersection of AI, Crypto, and FinTech.

We're looking for a hands-on Senior Creative Designer who will own Coinask's visual quality and personally produce strong graphic and video content.

We don't need someone who just executes a brief — we need a strong designer with great visual taste and an understanding of how design drives business results. You'll create banners, static creatives, landing pages, social content, and video, quickly test different approaches, and improve them based on results.

About the Role

The core focus of this role is hands-on design production.

You'll work across a range of formats — from ad creatives and social content to Figma mockups, landing pages, and video. It's not just about making things "look nice" — it's about understanding composition, hierarchy, typography, visual storytelling, attention, and conversion.

You'll work closely with the Head of Marketing and Lead Brand & Community Manager, turning marketing and communication tasks into quality visual content.

Your Responsibilities

• Graphic Design: create static creatives, banners, social content, marketing materials, and other visual assets.
• Web & Landing Pages: create Figma mockups and the visual side of marketing landing pages.
• Video & Motion: edit short-form and performance creatives for Reels, TikTok, Shorts, and ad campaigns; work with footage, screen recordings, UGC, captions, graphics, basic motion elements, and format adaptations.
• Creative Development: independently develop visual concepts and propose solutions, rather than just executing ready-made briefs.
• Visual Consistency: maintain a cohesive and recognizable visual style for Coinask across channels and formats.
• Creative Performance: analyze the results of your creatives together with Marketing, understand which approaches work better, and apply those insights to future iterations.
• AI Workflow: use AI tools for research, ideation, generation, and production, speeding up the work without sacrificing quality.
  
   

What We Expect From You

• A strong portfolio with examples of graphic design, digital creatives, and video/motion work.
• Confident with Figma, Photoshop, and other professional design tools; hands-on experience editing and producing short-form video creatives.
• Strong visual taste and an understanding of what makes design high-quality, modern, and professional.
• Able to work fast and independently, adapting one design across different formats and tasks.
• Understand the basics of marketing design and performance creatives: hierarchy, hooks, readability, CTAs, attention, and visual storytelling.
• Willing to look at creative results, draw conclusions, and apply them to the next iteration.
• Able to independently find and propose visual solutions rather than waiting for a detailed brief.
• Experience with AI creative tools, used as part of the production workflow.
• Comfortable working in a fast-paced environment with lots of iteration.
  
   

Nice to Have

• Experience with B2C SaaS, AI, FinTech, or Crypto/Web3.
• Experience with performance marketing / creative testing.
• Motion design and 3D.
• Experience building or evolving a visual identity.
  
   

How We Work

We're an AI-native team.

For us, AI is part of the daily creative workflow. We expect you to use AI to speed up research, ideation, generation, and production — but the final output needs to meet a professional design standard.

We value speed, quality, and the ability to move quickly from idea to finished creative.

Create → Launch → Measure → Learn → Iterate

 

This Role Is for You If You're Looking For

• Lots of hands-on work. You'll be directly producing creatives, not just briefing others.
• Freedom in visual decisions. We expect you to bring your own taste and initiative.
• Impact on results. You'll see the performance of your creatives and use that data for the next iterations.
• The chance to shape the visual direction of a new AI product.
• An AI-native environment and a fast creative workflow without unnecessary bureaucracy.

Coinask.ai — a B2C AI SaaS product at the intersection of AI, Crypto, and FinTech.
 

We're looking for a hands-on Lead SEO & GEO Specialist who will take ownership of Coinask's organic visibility across Google and AI-powered search — from the technical SEO foundation and search intent to GEO, authority building, and results measurement.
 

This isn't a classic SEO copywriter or link-builder role. You'll build the system that makes Coinask easier to find, understand, and get referenced in both traditional and generative search.
 

About the Role

Search is changing: alongside classic Google, AI-powered search and answer engines — ChatGPT, Perplexity, Gemini, and others — are growing fast.

Your job is to build the system:

Technical SEO → Search Intent → Semantic Authority → AI Visibility → Organic Growth
 

You'll work closely with the Head of Marketing, Lead Brand & Community Manager, Product, and Engineering, turning search and audience-behavior data into concrete SEO/GEO initiatives.

 

Your Responsibilities

• SEO & Organic Search Strategy: develop and execute Coinask's SEO strategy — keyword research, search intent, semantic clusters, content opportunities, on-page SEO, and internal linking.
• Technical SEO: own crawlability, indexability, site architecture, Core Web Vitals, canonicalization, robots.txt, sitemap, and Schema.org. Identify issues and write specs for Engineering.
• GEO / AI Search Visibility: track Coinask's presence in ChatGPT, Perplexity, Gemini, Google AI Overviews, and other AI search experiences; find citation gaps, competitor gaps, and opportunities to grow AI visibility.
• SEO Content Strategy: identify content gaps and write SEO/GEO briefs for the Brand & Community team — what to create, for which search intent, and what structure and topics to cover.
• Authority & Digital PR: identify relevant crypto/tech media and authoritative platforms, run outreach, negotiate placements, and see quality mentions and backlinks through to publication.
• Analytics & Measurement: build the SEO/GEO measurement system: organic traffic, rankings, conversions, backlinks, AI visibility, citations, and the organic channel's contribution to acquisition.
• Use AI and automation for research, semantic analysis, competitor research, data processing, monitoring, and scaling SEO processes.
  
   

What We Expect From You

• 3+ years of hands-on experience in Technical SEO / Organic Growth / SEO Management, ideally in B2C SaaS, AI, Crypto, Web3, or FinTech.
• Deep understanding of Technical SEO, semantic SEO, search intent, and authority/link building.
• Confident with Google Search Console, GA4, Ahrefs / Semrush, Screaming Frog, or similar tools.
• Understand the principles of AI Search / GEO / AEO, citation patterns, and how AI systems find and use sources.
• Able to run SEO audits, keyword research, and competitor analysis, and turn findings into concrete actions.
• Hands-on experience in link building / SEO outreach and securing quality editorial placements.
• Technical literacy — comfortable working with HTML, Schema.org, and web architecture, and writing specs for Engineering.
• Strong analytical thinking: able to turn data into SEO hypotheses, priorities, and experiments.
• High autonomy and ownership — able to independently move from opportunity → strategy → execution → measurement.
• Fluent English for working with the Western search landscape, English-language semantics, and international media.
  
   

Nice to Have

• Experience with AI products / AI-native SaaS.
• Experience in Crypto / FinTech / Web3.
• Hands-on experience with GEO/AEO platforms and AI search monitoring.
• Python / SQL or automation via n8n, Make, or similar tools.
• Understanding of YMYL, trust, and compliance in financial and crypto products.
  
   

How We Work

We're an AI-native team.

For us, AI isn't a separate skill on a resume — it's part of the daily workflow. We expect you to use AI and automation to speed up research, technical audits, semantic analysis, monitoring, and data processing, so you can stay focused on strategy and decision-making.

We value speed, autonomy, and the ability to move quickly from idea to test.

Research → Identify → Optimize → Deploy → Measure → Iterate

You'll have the freedom to build the Organic Search function, while also owning its real impact on the business.

 

This Role Is for You If You're Looking For

• The chance to build Organic Search from scratch. You'll have a direct impact on how Coinask is found in Google and AI search.
• A new level of SEO. Combining Technical SEO, semantic search, and GEO in one product.
• Real impact on the product. Your search insights will shape site structure, landing pages, content strategy, and GTM.
• Hands-on ownership. You don't just make recommendations — you find opportunities, launch initiatives, and measure results yourself.
• An AI-native environment. AI and automation are part of the workflow, not a side experiment.
• High speed and autonomy. Minimal bureaucracy and a short cycle from insight to implementation.

Coinask.ai — a B2C AI SaaS product at the intersection of AI, Crypto, and FinTech.

We're looking for a hands-on Senior Growth Analyst who will take ownership of ensuring Coinask's data is accurate, consistent, and ready to drive business decisions — from tracking and integrations to product analytics, attribution, and dashboards.

This isn't a "just reporting" role. You'll be responsible for the product's analytical foundation: collecting data correctly, maintaining data quality, connecting different systems, and helping Marketing and Product see the full picture of the business.
 

About the Role

We're actively driving traffic and growing the product, so we need a single source of truth for Marketing and Product:

Tracking → Integrations → Data Quality → Product Analytics → Dashboards → Insights
 

You'll work closely with the Head of Marketing, Growth PM, and Engineering, to ensure a strong connection among marketing data, user behavior, and product data.
 

Your Responsibilities

• Tracking & Analytics Setup: build and maintain the Event Taxonomy, web/product tracking, and key user journey events. Work with GTM, server-side tracking, and analytics tools.
• Product Analytics: set up and maintain Amplitude, Mixpanel, PostHog, or similar systems — funnels, cohorts, retention, activation, and key product flows.
• Integrations & Data Flow: ensure correct data exchange between Web, Product, Backend, CRM, ad platforms, and analytics tools via APIs, Webhooks, n8n/Make, or other integrations.
• Marketing Analytics & Attribution: connect ad spend, traffic sources, sign-ups, and product events so Marketing and Product see accurate CAC, ROAS, conversion, and LTV.
• Data Quality & QA: regularly audit data, find duplicates, data loss, broken events, and discrepancies between systems; identify root causes and coordinate fixes with Engineering.
• Dashboards & Reporting: build and maintain clear dashboards for Marketing, Product, and Management, keeping metrics up to date with a single shared definition.
• Insights: find anomalies, patterns, and growth opportunities in the data and turn them into actionable insights for Product and Marketing.
• Use AI and automation tools to speed up analysis, SQL, QA, debugging, and data work.
  
   

What We Expect From You

MUSH HAVE 

• 2+ years hands-on with a subscription product, in-house — you owned its metrics, not just reported on them: free-to-paid conversion,

churn, cohorts of paying users

• Experience building analytics from scratch at an early product

stage — no legacy systems, no ready dashboards, no established

taxonomy

• AI tools as part of your daily workflow, not a line in a skills list

• English B2+ — working communication, materials, documentation

Core requirements

• 3+ years of experience in Product Analytics, Web Analytics, Marketing Analytics, Analytics Engineering, or Tracking.
• Confident with GTM, GA4, and product analytics tools — Amplitude, Mixpanel, PostHog, or similar.
• Understand how events, cookies, first-party data, server-side tracking, APIs, and Webhooks work.
• Strong SQL skills and the ability to work independently with data in PostgreSQL, BigQuery, or similar systems.
• Hands-on experience building integrations and data flows between marketing, product, and backend systems.
• Understand marketing attribution principles and how to connect acquisition data with product metrics.
• Able to build dashboards and reporting systems that teams actually use.
• Able to independently identify the root cause of data discrepancies and drive them to resolution with Engineering.
• Strong analytical and business thinking: you understand not just how to get a number, but why the business needs it.
• High autonomy, ownership, and comfort working in a fast-paced environment.
   

Nice to Have

• Python or JavaScript for custom scripts and API work.
• Experience with dbt, BigQuery, Snowflake, or other data tools.

• Experience in FinTech / Crypto / AI products.

  
   

How We Work

We're an AI-native team. AI is part of our daily workflow. We expect you to use AI for writing SQL, analyzing data, debugging tracking, automating QA, and speeding up routine tasks.

We value speed, pragmatism, and autonomy: a reliable system that works today beats a complex architecture that will be ready in six months.

Track → Connect → Validate → Analyze → Improve

This Role Is for You If You're Looking For

• The chance to build an analytics foundation from scratch, free of legacy systems and tracking chaos.
• Real business impact: your data and insights will be used directly by Marketing and Product.
• Broad scope: from tracking and integrations to product analytics and reporting.
• An AI-native environment where modern tools are used to genuinely speed up the work.
• High autonomy and speed without unnecessary bureaucracy.