Jobs AI

We are a leading sea moss superfood brand in the U.S., on a mission to redefine natural wellness by making it simple, accessible, and affordable for everyone, everywhere.

As we continue to scale across multiple channels and serve a growing customer base, we are looking for a CRM & Automation Specialist to take ownership of our customer support technology ecosystem.

You'll be responsible for managing and optimizing our Zendesk, Shopify, and Siena AI infrastructure, proactively identifying issues before they impact customers, and building scalable systems that support long-term growth.

Why join us?

In this role, you'll become the owner of the technology that powers Customer support experience. You'll have the opportunity to build smarter systems, reduce manual work, improve AI performance, and create the infrastructure that allows our support team to operate at its best.

What we're looking for:

• Systems-oriented – You understand how multiple platforms interact and can map dependencies across complex workflows.
• Proactive – You don't wait for problems to appear in reports; you identify and solve them before they affect customers.
• Analytical – You enjoy investigating data, spotting patterns, and getting to the root cause of issues.
• Detail-oriented – You notice small inconsistencies before they become large operational problems.
• Strong communicator – You can explain technical issues clearly to both technical and non-technical stakeholders.

What you'll do:

CRM & Automation Management

• Own and optimize Zendesk and Shopify workflows, automations, tagging, and integrations.
• Improve support operations by reducing manual work and streamlining agent processes.
• Ensure accurate and reliable data flow between systems.

AI Support Systems (Siena AI)

• Monitor, test, and optimize AI performance and customer experience.
• Identify and resolve bugs, broken logic, and integration issues.
• Improve AI responses through prompt and knowledge base optimization.

Troubleshooting & System Reliability

• Investigate and resolve issues across Zendesk, Shopify, APIs, and AI platforms.
• Perform root cause analysis and implement preventative monitoring.

Vendor & Cross-Functional Collaboration

• Act as the main point of contact for AI and support technology vendors.
• Partner with Support, Marketing, Retention, and Operations teams to build scalable solutions.
• Drive system improvements, feature requests, and automation initiatives.

Reporting & Analytics

• Build and maintain dashboards tracking support performance, AI quality, and automation effectiveness.
• Analyze trends and data to identify customer, product, and operational issues before they become larger problems.

What you bring:

Required Experience

• Strong experience in Zendesk administration.
• Experience working in e-commerce environments.
• Experience building workflows, automations, and support operations systems.
• Strong analytical and troubleshooting capabilities.
• Experience working with large datasets and reporting.

Technical Skills

• Zendesk (Critical): Administration, Triggers, Automations, Macros, Integrations, Zendesk Explore.
• Shopify: Customer architecture, Orders and fulfillment flows, Tags and customer segmentation, Metafields.
• AI Platforms: Siena AI or similar AI customer support tools, Understanding of LLM behavior and prompt engineering.
• Data & QA: Root cause analysis, System testing, Data validation, Dashboard building.

What we offer:

• Welcome Pack and custom True Sea Moss merch to ensure you arrive like you were always meant to be here
• Sports reimbursement to support your physical and mental health
• Coaching & career consultations to support your personal and professional growth
• Access to corporate English lessons to sharpen your communication skills
• WHOOP membership to help you track your health, sleep, and recovery
• Coworking membership if you prefer a hybrid work lifestyle
• Sabbatical options after long-term contributions
• Project grants for side ideas, personal initiatives, or creative experiments

Ready to Build the Systems Behind an Exceptional Customer Experience?

If you're passionate about automation, AI, e-commerce systems, and solving complex operational challenges—and you want to own the infrastructure that powers customer support at a fast-growing wellness brand—this role is for you.

Apply now and help us build smarter systems that allow our team to focus on what matters most: serving our customers. 🌊

SouthRivers Data is a data & AI engineering partner. We strengthen the teams of consultancies and end clients across the EU, UK, and North America with senior data and AI engineers.

We're looking for an AWS AI Architect with strong Agentic AI experience to join an AI PoC/MVP project for a large Canadian insurance company.

About the project:

• Design and build an AI PoC/MVP on AWS
• Focus on AI agents / agentic workflows and enterprise GenAI architecture
• Greenfield project with significant ownership over solution architecture and technology decisions
• Direct work with the client's English-speaking technical and business teams
• Full-time, long-term potential
• Location: Toronto / Canada — primarily remote, with a possibility of spending a few weeks onsite at the client's office

• Potential start date: September 15

   

Requirements:

• 6+ years in software, data, ML, or cloud engineering, with strong solution architecture experience
• Strong hands-on experience designing and building GenAI / Agentic AI solutions
• Solid AWS architecture experience
• Amazon Bedrock and related GenAI services
• Experience with AI agents: tool calling, orchestration, memory/state, multi-step workflows, and agent-to-system integrations
• Experience with at least one agent framework such as Strands Agents, LangGraph, CrewAI, LlamaIndex, or similar
• RAG architectures, embeddings, vector search, and knowledge retrieval
• Integration of LLMs/agents with enterprise APIs, databases, and internal systems
• Python and experience building production-grade AI services
• AWS services such as Lambda, S3, API Gateway, ECS/Fargate, IAM, CloudWatch
• Understanding of security, identity, access control, data privacy, and guardrails for enterprise AI systems
• Infrastructure as Code: Terraform or CloudFormation
• English B2+ — daily communication with the client, no interpreter

Nice to have:

• Amazon Bedrock AgentCore experience
• MCP / agent tool integration experience
• Multi-agent architectures
• Agent observability, evaluation, tracing, and production monitoring
• Amazon OpenSearch / vector databases
• Experience taking GenAI solutions from PoC to production
• Experience in insurance, financial services, or other regulated industries
• AWS certifications (Solutions Architect, Machine Learning, or similar)
• Canadian visa

Interview process:

1. Recruiter interview
2. Technical interview
3. Possible additional interview with an AWS / AI engineer

We are looking for a Head of Execution to drive delivery across Project Bankstore. This role is for an operator who turns strategy into results — someone who can coordinate cross-functional teams, remove blockers, and make sure initiatives actually ship on time and to spec.

Details

• Project: Bankstore
• Schedule: Full-time
• Location: Remote

About the role

The Head of Execution owns operational delivery for Bankstore, translating strategic priorities into concrete plans and making sure every team — product, engineering, sales, partnerships — is aligned and moving toward the same milestones. You'll be the person accountable for getting things done: tracking progress, surfacing risks early, and stepping in wherever execution is at risk of stalling.

You have

• A strong track record of leading execution or operations in fintech or banking environments
• Experience coordinating cross-functional teams and driving projects to completion
• Comfort working with ambiguity and turning high-level strategy into actionable plans
• Strong project management and prioritization skills
• Excellent communication and stakeholder-management skills

What to do

• Translate Bankstore's strategic priorities into execution plans and milestones
• Coordinate across product, engineering, sales, and partnerships to keep initiatives on track
• Identify and resolve delivery risks and blockers before they impact timelines
• Set up and maintain processes for tracking progress and accountability
• Report on execution status and key risks to leadership
• Drive continuous improvement in how the organization plans and delivers work

We are looking for a Head of Product to own the product vision and roadmap for Project Bankstore. This role is for a product leader with deep fintech instincts — someone who can balance user needs, regulatory constraints, and business goals into a product that actually works for banking customers.

Details

• Project: Bankstore
• Schedule: Full-time
• Location: Remote

About the role

The Head of Product will define and drive the product strategy for Bankstore, working closely with engineering, sales, and partnerships to ship a roadmap that serves both users and the business. You'll be responsible for prioritization, discovery, and making sure the product meets the specific demands of fintech and banking — including compliance and risk considerations that shape what can be built and how.

You have

• A strong track record leading product in fintech, banking, or a closely related space
• Experience owning a product roadmap from discovery through to shipped features
• Solid understanding of the regulatory and compliance considerations that shape fintech products
• Strong cross-functional collaboration skills, particularly with engineering and business teams
• Excellent prioritization and stakeholder-management skills

What to do

• Define and own the product vision and roadmap for Bankstore
• Lead discovery to identify user and business needs, translating them into a prioritized backlog
• Work closely with engineering to scope and ship features
• Ensure product decisions account for relevant fintech/banking compliance and risk requirements
• Partner with sales and partnerships to align the roadmap with commercial priorities
• Track product performance and iterate based on data and user feedback

About BankStore

BankStore is a global fintech platform that helps startups, SMEs, venture funds, and Web3 businesses access essential financial infrastructure. Our AI-driven matching engine connects clients to a curated network of 70+ banks, 90+ acquirers, and 180+ payment providers across 95+ currencies, alongside fast-track company incorporation in 8 startup-friendly jurisdictions and ongoing legal and compliance support. We operate across the UK, US, UAE, Hong Kong, Singapore, and Europe, giving founders a single point of access to banking, payments, and legal searvices that would otherwise take months to assemble.

The Role

We're looking for a Chief Operating Officer to run the day-to-day engine of BankStore: the operational backbone connecting our clients to banks, acquirers, payment providers, and incorporation partners across multiple jurisdictions. You'll own operational strategy, scale our partner network and onboarding processes, and turn a fast-moving fintech marketplace into a predictable, efficient, and compliant operation. You will report directly to the CEO, sit on the leadership team, and work closely with Legal, Compliance, Product, and Partnerships.

What You'll Do

• Own end-to-end operations across BankStore's marketplace: client onboarding (KYB/KYC), bank and payment-provider matching, account opening, and incorporation fulfillment.
• Build and scale the operating processes and SLAs behind onboarding 100+ banks, 90+ acquirers, and 180+ payment providers across 95+ currencies.
• Manage and grow relationships with partner banks, acquirers, payment providers, and incorporation agents across the UK, US, UAE, Hong Kong, Singapore, and Europe.
• Design and monitor operational KPIs (onboarding time, approval rates, turnaround SLAs, partner performance) and drive continuous improvement.
• Partner with Legal and Compliance to ensure operational processes meet KYB/KYC/AML requirements across all jurisdictions of operation.
• Lead and scale operations, customer success, and partnerships teams as the company grows headcount.
• Own the operating budget and resource planning across departments, working closely with Finance.
• Drive process automation and tooling improvements in partnership with Product and Engineering to reduce manual work in onboarding and account management.
• Oversee vendor and partner contract performance, escalations, and renewal strategy in coordination with Legal.
• Represent operations in leadership planning: pricing, market expansion (new jurisdictions/currencies), and new product launches (e.g., Web3 payments, banking cards).
• Build contingency and risk-mitigation plans for partner outages, compliance holds, or banking relationship disruptions.

• Report operational performance and business metrics to the CEO and board.

   

What We're Looking For

• 8+ years of operations leadership experience, with at least 3+ years in a senior operating role (COO, VP Ops, Head of Ops) at a fintech, payments, or banking-as-a-service company.
• Proven track record scaling multi-jurisdictional operations involving banking partners, payment providers, or acquirers.
• Working knowledge of KYB/KYC/AML onboarding processes and how they intersect with operational workflows.
• Experience managing partner and vendor relationships with financial institutions.
• Strong analytical skills with a track record of building KPIs, dashboards, and SLAs that drive measurable operational improvement.
• Experience building and leading cross-functional teams (operations, customer success, partnerships) in a fast-growing startup environment.
• Comfortable operating with ambiguity, building processes from scratch, and iterating quickly.
• Excellent written and spoken English; additional languages are a plus.
• Strong stakeholder management skills, able to work closely with Legal, Compliance, Product, and Finance leaders.

Nice to Have

• Experience with Web3/crypto client operations or compliance considerations.
• Prior experience at a banking-as-a-service, embedded finance, or fintech marketplace company.
• Experience operating across the UK, US, UAE, Hong Kong, Singapore, or EU markets specifically.
• Experience with company incorporation or corporate services operations.

About Us

We build AI-powered solutions that solve real business problems. Our team works with modern technologies to create scalable products and continuously explores new AI capabilities. You'll have the opportunity to work on AI-driven features while growing your expertise in this rapidly evolving field.

Responsibilities

• Develop and maintain full-stack applications using JavaScript/TypeScript.
• Build scalable backend services with Node.js (Express, Fastify, or NestJS).
• Develop modern frontend applications with React and Next.js.
• Design and maintain REST APIs and ensure reliable client-server communication.
• Integrate third-party APIs, authentication, and payment systems.
• Work with PostgreSQL and other databases.
• Collaborate with the team to design and implement AI-powered product features.

• Learn and adopt modern AI technologies as part of product development.

   

Requirements

• Strong problem-solving skills and willingness to learn.
• 3+ years of commercial experience with JavaScript/TypeScript.
• Solid production experience with Node.js.
• Strong experience with React and modern frontend development.
• Experience with Next.js is a plus.
• Good understanding of REST APIs, databases, application architecture, and debugging.

• Interest in AI technologies or commercial experience working with AI-powered products.

   

Nice to Have

• Experience with Python or FastAPI.
• Experience with Redis, queues, or caching.
• Familiarity with AWS or GCP.
• Experience with Docker and GitHub Actions.

• Knowledge of monitoring and observability tools.

   

What We Offer

• Competitive salary and performance bonuses.
• Remote-first culture.
• Flexible working hours.
• Open-minded and results-driven team.
• Opportunity to work with modern AI technologies and grow your expertise.
• High level of ownership and direct impact on the product.

🚀 Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

📍 About the Product:

We are building an AI-first platform that fuses multiple maritime data sources into a unified operational picture. The system builds a digital twin of global maritime activity, applies behavioral analytics and predictive AI models to surface smuggling, illegal fishing, container risk, and other compliance or security threats, and presents mission-grade intelligence to both commercial and government stakeholders. 

Operating at global scale, the platform processes millions of events and terabytes of geospatial data daily. 

About the Role:

You will join an autonomous team building agentic AI capabilities within a production-grade maritime intelligence platform.

As a Senior AI Engineer, you will design, build, and deploy production-grade AI systems powered by LLMs, autonomous agents, and retrieval-augmented generation (RAG). You’ll work across the full AI application lifecycle – from experimentation and prompt engineering to scalable deployment, evaluation, monitoring, and continuous improvement.

You’ll collaborate closely with platform engineers, researchers, and product teams to transform AI prototypes into reliable, secure, and scalable production systems.

📍 Key Responsibilities:

• Design, build, and deploy production-grade AI applications using LLMs, RAG, and agentic workflows.
• Build and optimize autonomous AI agents capable of planning, using tools, making decisions, and solving complex operational tasks.
• Integrate foundation models and LLM APIs into scalable systems, including retrieval pipelines, vector search, prompt orchestration, and AI memory.
• Develop AI evaluation and observability frameworks, including hallucination detection, trace analysis, model performance monitoring, experimentation, and continuous improvement.
• Build scalable Python backend services and integrate AI capabilities with distributed production systems.
• Collaborate with research and product teams to productionize new AI capabilities, taking them from experimentation to reliable real-world use.
• Own technical decisions and drive AI engineering best practices, including architecture, testing, tooling, deployment, and AI-SDLC standards.

📍 Required Competence and Skills:

• 7+ years of software engineering experience, including at least 1.5 years of hands-on experience building production AI applications, with proven experience delivering agentic AI systems used by real users.
• Strong software engineering background in Python or another backend language (Golang, Rust, TypeScript, Java, etc.), with the willingness to work primarily with Python. 
• Hands-on experience building agentic AI systems using frameworks such as LangChain, LangGraph, CrewAI, DeepAgents, OpenClaw, Hermes, or similar.
• Experience deploying and operating production AI services in cloud environments, with a proven track record designing scalable, event-driven architectures using messaging (SQS/SNS) and SQL/NoSQL databases. AWS experience is preferred.
• Experience integrating AI agents and AI-powered capabilities into production applications through GraphQL or REST APIs.
• Experience taking AI applications from development to production and collaborating with platform engineering teams on deployment and operation using Kubernetes and Terraform.
• Experience ensuring production AI systems are reliable, secure, observable, and ready for mission-critical use, including monitoring and incident response.
• Excellent communication skills, autonomy, and accountability in ambiguous, high-velocity environments.

Nice to Have:

• Experience with React.js and full-stack development, with the ability to contribute to frontend development when needed.
• Experience with vector databases and similarity search in production AI applications.

Why Us:

We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

We provide full accounting and legal support in all countries we operate.

We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

We offer a highly competitive package with yearly performance and compensation reviews.

The company is looking for a Generalist Technical Artist – Playables Engineer with strong game design intuition and a passion for creating engaging interactive experiences.

This role focuses on building, iterating, and polishing HTML5 playable ads where gameplay, visuals, and interaction come together seamlessly. The ideal candidate combines technical art expertise with lightweight coding skills and a strong understanding of what makes games feel fun, responsive, and satisfying.

 

Core Responsibilities
 

Own the visual execution and interactive feel of short-form game experiences by combining:

• Optimized 2D and 3D art creation
• Lightweight game-focused coding
• Strong understanding of gameplay mechanics and player experience
• Rapid prototyping and iteration workflows
  
   

Key Responsibilities
 

Technical Art & Animation

• Create and optimize 2D/3D assets for playable ads
• Work with Blender, Photoshop, and After Effects
• Handle:
  • Model editing and cleanup
  • Asset optimization
  • Materials, lighting, scale, and pivots
  • Exporting game-ready assets such as GLB files and textures
• Animate UI, gameplay feedback, VFX, and characters
• Integrate visuals into HTML5 playable pipelines
• Ensure strong visual quality while maintaining mobile performance
   

Gameplay & Interactive Development

• Use AI tools and agentic workflows to rapidly create gameplay systems, animations, assets, and interactive experiences
• Write, modify, and debug JavaScript / TypeScript to:
  • Control gameplay behavior
  • Tune timing, pacing, and feedback
  • Connect visuals with interaction logic
  • Create a satisfying polish and game feel
• Work with AI coding assistants and modern creative development tools
• Contribute to rapid prototyping and AI-assisted game development pipelines
• Experiment with emerging AI technologies for game creation and interactive content
  
   

Required Qualifications
 

• 3+ years of experience in Technical Art, Game Art, Playables, or Interactive Design
• 3+ years of hands-on experience with Blender creating game-ready 3D assets
• Readiness/Experience building interactive HTML5 playable ads using web-based game frameworks
• Experience within the mobile gaming industry
• Experience with any of those technologies:
  • HTML5
  • JavaScript / TypeScript
  • Node.js
  • Pixi.js
  • Three.js
  • GitHub
  • Unity 
  • Unreal Engine experience
• Strong understanding of game mechanics, game feel, player feedback, and gameplay polish
• Experience creating mobile game animations, UI animations, VFX, and gameplay feedback
• Experience using AI tools, agentic workflows, and AI coding assistants

• Understanding of mobile optimization and lightweight playable ad performance constraints
   

  Nice to Have

• GLSL or custom shader experience
  
   

Why Apply?
 

This is an exciting opportunity to work at the intersection of gaming, creativity, and emerging AI technologies. They are looking for someone who is passionate about building engaging interactive experiences, experimenting with new tools, and pushing the boundaries of playable content creation.
 

If you enjoy combining art, gameplay, and technology to create experiences that players instantly connect with, they would love to hear from you.

About Us

We are a tech startup creating and managing digital AI models for Tier-1 markets, primarily the US and Europe.

We have advanced generative AI pipelines and a well-established technical infrastructure in place. We are currently entering an active scaling phase and expanding our Traffic R&D team.

We are looking for a smart and highly motivated enthusiast who is genuinely interested in AI models and their monetization. Your mission will be to take ownership of one specific traffic source — for example, Twitter/X — understand its algorithms inside out, and build a systematic traffic acquisition engine around it.

Why This Role Is Different

You will not be joining a fully built system — you will help create one.

The project CEO will provide you with the necessary resources, testing budgets, access to private training programs, and consultations with specialized industry experts.

What we expect from you: strong analytical thinking, hands-on execution, and the ambition to take full ownership of an entire traffic acquisition channel.

What You’ll Be Doing

* Research & Development: Complete specialized training programs funded by the company, study private communities and industry forums, and turn new knowledge into practical experiments.

* Hands-on Account Management: Initially manage networks of accounts through anti-detect browsers, warm up profiles, publish content daily, and interact with audiences while maintaining natural, human-like account activity.

* Technical Setup: Work with proxies, social platform limitations, account infrastructure, and methods for minimizing shadow bans and account restrictions.

* Analytics: Track conversion data, identify profitable traffic funnels and content formats, and determine which approaches generate the strongest audience response.

* Scaling: Once a manual traffic funnel proves profitable and repeatable, help transfer the workflow into automated systems using scripts and AI agents.

Who We’re Looking For

* Strong interest in the AI creator space: You understand or actively follow the virtual creator / AI model market, keep up with industry trends, and are interested in its monetization opportunities.

* Technical mindset: You already know — or can quickly learn — how anti-detect browsers, mobile proxies, User-Agents, cookies, and account infrastructure work.

* English: Confident B2+ level. You should be comfortable reading Western forums and communicating with English-speaking audiences on behalf of a digital creator.

* Autonomy: You do not wait for someone to explain every step. If an account gets banned, you investigate the reason, research possible solutions, suggest a new approach, and test it.

A Major Plus, But Not Required

Successful experience in traffic acquisition / affiliate marketing in grey-area or dating-related verticals, particularly with traffic sources such as:

Reddit, Twitter/X, Tinder, Badoo, Bumble, and Snapchat.

Experience working with Instagram, Threads, TikTok, or YouTube algorithms will also be a strong advantage.

What We Offer

* Work format: Fully remote, full-time.

* Compensation: Fixed salary + KPI-based performance bonus.

* Resources: Testing budgets, paid training, infrastructure, and access to external industry expertise.

* Career growth: Once you identify a profitable traffic funnel and successfully scale it, you will have the opportunity to grow directly into a Traffic Team Lead role and build your own team around that specific traffic source.

If you are excited about AI models, traffic acquisition, experimentation, and building new growth channels from scratch, we would be happy to hear from you.

We are looking for an experienced  Shopify Backend Developer to join our tech team and lead the development of internal systems, integrations, automations, and software infrastructure for our company and for leading eCommerce brands.
 

This is not a Shopify website-building role.

We're looking for a developer who can take a complex business need — ERP sync, a subscription system, an advanced checkout flow, or an internal AI tool — and turn it into a stable, secure, and maintainable system. The role covers backend services, APIs, integrations, Shopify Apps, ETL pipelines, automations, and AI-powered tools.
 

Responsibilities

- Develop and maintain backend services and REST/GraphQL APIs. Build integrations with Shopify, ERP systems, payment providers, HubSpot, Monday, Meta, and others. 
- Develop Shopify Apps, Shopify Functions, and Checkout Extensions. Build sync flows for orders, products, inventory, customers, and payments. 
- Develop complex automations, queues, background jobs, and ETL pipelines. Work with databases and design stable, scalable data models. 
- Build internal AI tools and AI solutions for clients. Improve performance, security, scalability, and reliability of existing systems. 

- Work closely with product, dev, and design teams.
 

Requirements

• Experience: 3–5+ years of backend development, proven production system experience, significant experience with REST APIs and integrations.
• Technologies: strong Node.js and TypeScript skills, experience with Express or NestJS, experience with PostgreSQL and Redis, Git.
• Cloud & DevOps: Docker, CI/CD, familiarity with AWS or GCP.
• Integrations: experience with external APIs, OAuth2, Webhooks, Queue Systems, rate limit handling.
   

Strong Advantages

Shopify App development, Shopify Functions and Checkout Extensions, Shopify Admin GraphQL API, ERP integrations, payment gateways, HubSpot API, Monday API, Meta API, GraphQL, BullMQ or RabbitMQ, SaaS product development, experience with AI APIs (OpenAI, Claude, Gemini), RAG, tool calling, or prompt engineering.
 

Who We're Looking For

Someone who doesn't just write code but understands business processes — able to take a real customer problem (inventory sync, complex checkout, ERP integration, business automation) and turn it into a stable, smart, maintainable solution.

Bonus if you've already built: SaaS systems, CRM systems, complex automations, Shopify Apps, Shopify Functions, system integrations, AI tools, ERP sync systems, backend infrastructure for business systems.
 

Soft Skills

Systems thinking and architectural planning ability, full end-to-end ownership of tasks, strong independent learning ability, proactive problem-solving, good communication with technical and non-technical teams, ability to work in a dynamic environment, willingness to work with AI tools like Cursor, Claude Code, or Codex as part of the dev process.
 

What You'll Build

From day one you'll work on systems in real use by leading eCommerce brands: Shopify Apps and Shopify Functions, subscription and billing systems, ERP and payment integrations, backend infrastructure for business systems, AI tools for automation and data analysis, sync engines and catalog enrichment.
 

Location: Remote / Hybrid (Israel-friendly hours). 
Type: Full-time. 
Level: Mid-Senior / Senior.

About the role:
We’re looking for a GenAI Engineer to design and build production-grade AI capabilities, including intelligent agents, LLM-powered features, and workflow automation. In this role, you’ll collaborate closely with product, engineering, and design teams to integrate cutting-edge AI technologies into a large-scale, customer-facing product.

You’ll join a US-based team developing one of the world’s leading enterprise video platforms, used by thousands of organizations worldwide for live streaming, virtual events, online training, webinars, and other interactive experiences.
Requirements:

• Strong software engineering background (Python preferred)
• Proven track record of building production-grade GenAI applications
• Hands-on experience with LLMs, RAG, AI agents, vector databases, and AI orchestration frameworks
• Practical experience with OpenAI, Anthropic, Google Gemini, Amazon Bedrock, or similar AI platforms
• Strong system design and problem-solving skills
• Upper-Intermediate English (B2+) or higher 

Nice to Have

• Experience with AWS and cloud-native applications
• Exposure to MCP, AI automation, or multimodal AI 

Responsibilities

• Build AI-powered features using modern LLMs
• Develop AI agents, tool-calling workflows, and RAG systems
• Integrate AI capabilities with enterprise products through APIs and MCP
• Optimize prompts, model performance, and AI quality
• Collaborate with Product, Engineering, and Design teams to deliver production-ready AI solutions 

What We Offer

• Work on production AI features with real user impact in a flexible, Agile, multinational team where innovation and collaboration drive everything we do
• Continuous learning and professional growth alongside top talent in the global tech industry
• Hybrid work model, combining remote work with time in our Lviv office
• Daily collaboration with native English speakers, providing a natural opportunity to strengthen your English in a professional environment
• 18 working days of paid vacation, 10 working days of paid sick leave, and 11 paid Ukrainian public holidays

We're a fast-growing tech company with a portfolio of SaaS products serving diverse industries. Innovation, performance, and design precision are core to our values.

We're looking for a QA ninja who knows our product better than anyone else on the team and stays closest to our real customers. You'll test with a customer mindset, thinking, clicking, and breaking things the way a real user would. This is not a follow-the-checklist role. We move fast, and so will you. Requirements will sometimes be incomplete, and you'll know how to test anyway, ask the right questions, and find the bugs others miss.

Key Responsibilities

–  Own manual testing as a first-class discipline: exploratory testing, fast bug hunting, unconventional test paths, and creative edge-case thinking

–  Design test coverage using formal test design techniques (equivalence partitioning, boundary values, decision tables, state transitions, pairwise, and others)

–  Write, maintain, and extend automated tests in TypeScript and Playwright, and keep the suite reliable as the product evolves

–  Work daily with AI coding agents (Claude Code CLI or IDE extension, OpenCode, or similar) to accelerate testing, generate test cases, and automate routine work

–  Test payments end-to-end across Stripe, Adyen, and PayPal, including sandboxes, test cards, webhooks, and provider-specific behavior

–  Run cross-browser and responsive testing across viewports (BrowserStack), on real devices and simulators/emulators

–  Perform API testing, read and interpret application logs to localize issues, and maintain Playwright reporting pipelines with Slack notifications

–  Write and maintain test cases in Xray, ideally generated with AI assistance, and report results clearly within Scrum

–  Analyze and improve: proactively propose product and UX improvements and, when needed, run comparative analysis against competitors

Requirements

Must have

–  3+ years of manual testing, including mandatory SaaS product experience

–  2+ years of test automation with TypeScript and Playwright

–  1+ year of hands-on AI-assisted work: core Claude Code CLI (or similar agentic CLI) commands and workflows, context window management, basics of AI agent orchestration, and an understanding of skills (what they are, how to create and apply them)

–  Strong command of test design techniques; this is non-negotiable

–  Solid understanding of client-server architecture and the software development lifecycle (SDLC)

–  Payment testing experience: Stripe, Adyen, PayPal, sandbox environments, and provider specifics

–  Git and GitHub/GitLab workflows

Also required

–  Ability to create and maintain CI/CD jobs (GitHub Actions preferred)

–  Understanding of Playwright reporting pipelines: publishing reports (e.g., to an S3 bucket) and configuring Slack notifications for automated test runs

–  Xray for test case management

–  Ability to test effectively under incomplete or ambiguous requirements: read requirements critically, find gaps and contradictions, and cover them with test cases

–  Self-organized, autonomous, and self-managed; you know what to do next without being told

–  An out-of-the-box thinker who finds bugs quickly through unconventional paths

–  Analytical: you don't just report bugs; you understand the product deeply enough to suggest how to make it better

–  A clear communicator who reports results, estimates work, and keeps the team informed

Nice to Have

–  Experience with PostHog (product analytics, session replays, feature flags)

Interview Process

–  The technical interview lasts 1.5–2 hours: the first part is theoretical, and the second part is practical.

–  Candidates should have the Claude Code CLI or the Claude Code plugin for VS Code installed and be ready to complete a technical task live during the interview. (Codex or other AI tools are also accepted.)

What We Offer

–  Full-time, long-term role

–  22 days paid leave + local bank holidays

–  100% remote

–  Flexible hours, core window 7:00–18:00 EET

About Our 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 Senior Software Engineer to build and operate production AI agent and search services on top of a large-scale data platform. This is hands-on work at the intersection of distributed backend engineering and applied AI: multi-agent workflows, tool-execution infrastructure, retrieval and relevance, and integrations with multiple LLM providers — all running as real, customer-facing production services with the reliability expectations that implies.

Responsibilities

• Design and implement scalable multi-agent workflows (including conversation state), tool-execution infrastructure, and data-aware tools working with catalogs, schemas, lineage, SQL, jobs, semantic metadata, data preparation, and visualizations
• Build search and retrieval capabilities with OpenSearch or equivalent — indexing, relevance tuning, hybrid keyword + vector search
• Integrate multiple LLM/model providers with secure configuration and graceful degradation
• Develop APIs and event contracts across REST, streaming/SSE, gRPC, protobuf, and SDKs, including UI integrations
• Operate, monitor, and improve production services — service health, logs, metrics, traces, search-cluster health, latency, and error rates; participate in the team's production-support model
• Investigate incidents, drive root-cause analysis, and ship durable fixes
• Design for permissions, tool approvals, multi-tenancy, and customer-data governance
• Maintain dependencies, apply security fixes, and reduce tech debt; produce designs, tests, runbooks, and documentation; lead technical discussions and review code

Required Qualifications

• B.S. or M.S. in Computer Science, Computer Engineering, or a related field — or equivalent practical experience
• 7+ years of relevant experience, or equivalent demonstrated senior-level impact
• Strong Java software engineering skills
• Strong grasp of concurrency, data structures, API design, testing, maintainability, and backward compatibility
• Solid background in distributed systems, microservices, cloud services, or data-intensive backends
• Hands-on experience with search technologies — OpenSearch, Elasticsearch, or Lucene — including vector search, embeddings, or relevance systems
• Experience building LLM applications, agent/tool workflows, RAG systems, or model-provider integrations
• Strong production instincts: diagnosing failures via logs, metrics, and traces; designing for fault tolerance, retries, cancellation, and recovery
• SQL and familiarity with data platform concepts: catalogs, metadata, schemas, governance, lineage
• Comfort leading ambiguous, cross-service work with clear stakeholder communication and strong written documentation
• Comfortable with AI-assisted development workflows — using modern AI tools productively while critically validating their output
• English Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team
• Availability to work EU business hours shifted 2–3 hours later for daily overlap with US West Coast mornings

Desired Skills

• LangChain4j or similar agent frameworks
• Python for AI services, evaluation harnesses, or sandboxed execution
• React and TypeScript
• gRPC, protobuf, Quarkus, Kubernetes, MongoDB, KV stores, event-driven architectures
• Apache Arrow, Apache Iceberg, OpenLineage, semantic layers, or data-governance systems
• AI quality evaluation: LLM-as-judge, model benchmarking, production AI metrics
• OpenSearch operations: index lifecycle management, relevance tuning, incident response
• Open-source contributions

Details

• Engagement: Long-term contract
• Location: Europe (EU / EEA / UK), remote
• Working hours: EU business hours, shifted 2–3 hours later for daily overlap with the US West Coast team

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).

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
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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
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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
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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
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What we offer

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