Jobs AI

Domain: Banking & Finance
Experience: 10+ years
Project Duration: September 1, 2026 – June 29, 2027
Format: Remote
Location: Poland

About the Project

We are looking for a Data & Machine Learning Architect to join a greenfield initiative focused on building a next-generation, cloud-native digital banking platform.

The project aims to create a scalable, modular, API-first, event-driven, and AI-powered ecosystem supporting real-time operations, faster product innovation, and sustainable business growth.

The platform will leverage modern Microsoft Azure services, advanced data technologies, and machine learning capabilities to enable digital transformation at scale.

Responsibilities

• Define and design end-to-end data and machine learning architectures using Microsoft Azure
• Lead the design and implementation of modern data platforms covering data lakes, data warehouses, real-time streaming, and analytics
• Develop scalable ML pipelines covering data ingestion, model training, deployment, monitoring, and automated retraining
• Establish MLOps practices, CI/CD standards, governance frameworks, and best practices across data and AI environments
• Ensure data quality, security, regulatory compliance, reliability, and operational excellence across the platform
• Collaborate with business and technical stakeholders to translate business requirements into robust and scalable technology solutions
• Provide architectural guidance, technical leadership, and mentorship to engineering teams
• Evaluate emerging technologies and contribute to the strategic roadmap for data and AI capabilities

Requirements

• 10+ years of professional experience across Data Engineering, Data Architecture, Analytics, Artificial Intelligence, or Machine Learning
• Proven experience designing and delivering enterprise-scale data and machine learning platforms within the Microsoft Azure ecosystem
• Advanced knowledge of Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage, Azure Machine Learning, AKS, and Azure DevOps
• Practical experience implementing MLOps practices, including ML lifecycle management, model governance, monitoring, and CI/CD automation
• Strong understanding of machine learning workflows, feature engineering, model deployment, and responsible AI principles
• Solid expertise in data governance, security, regulatory compliance, and metadata management
• Strong hands-on programming skills with Python and SQL
• Experience with containerization and orchestration technologies such as Docker and Kubernetes
• Strong leadership, communication, collaboration, and stakeholder management skills
• Fluent business and technical English

Tech Stack

• Data Engineering
• Data Analysis
• AI / Machine Learning
• Microsoft Azure
• Azure Data Factory
• Azure Databricks
• Azure Synapse Analytics
• Azure Data Lake Storage
• Azure Machine Learning
• Azure DevOps
• CI/CD
• Python
• SQL
• Docker
• Kubernetes

Project Details

• Start date: September 2026
• Duration: 10 months
• Project type: Greenfield
• Verification process: Technical interview + project interview

Dinarys is an Ecommerce Development Company helping retailers, brands, and manufacturers across DACH, the UK, and the US build, scale, and optimize their digital commerce solutions.

We’re entering a new stage of marketing.

Rather than treating our website as a collection of pages, we’re transforming it into a scalable knowledge infrastructure that powers brand visibility, SEO, AI search, LLMs, sales enablement, and future AI agents.

We’re looking for an Content Marketing Lead (AI & SEO) who can lead this transformation.

This is a strategic, hands-on role where you’ll work directly with the CEO, Solution Architects, Delivery teams, and Business Development to capture the company’s expertise and transform it into a structured, scalable knowledge ecosystem.

If you’re excited about AI, content strategy, semantic search, and building systems rather than simply producing content, we’d love to meet you.

You’ll thrive in this role if you:

• Think like a business owner rather than a content marketer.
• Love extracting knowledge from experts and turning it into scalable business assets.
• Enjoy building systems, frameworks, and repeatable processes.
• Understand that modern content is built for both humans and AI.
• Know how SEO, semantic search, entity-based content, branding, and AI work together.
• Constantly experiment with AI tools, workflows, and autonomous agents.
• Are comfortable working directly with founders and engineering teams.

• Take ownership of ambiguous problems and build solutions from scratch.

   

What You’ll Build

During your first months, you’ll help transform Dinarys’ marketing foundation by building an AI-native knowledge ecosystem. You’ll work on structuring the company’s expertise into a scalable knowledge base, designing content architecture, and developing AI-powered workflows that make our expertise accessible to both people and AI systems.

This role goes far beyond creating content. You’ll help shape how our knowledge is organized, connected, and distributed to strengthen brand authority, improve discoverability across search engines and LLMs, and create a long-term foundation that supports marketing, sales, and future AI initiatives.

Responsibilities

• Own and continuously evolve Dinarys’ Brand & Knowledge Strategy.
• Design and build a scalable knowledge infrastructure across the website and marketing assets.
• Define information architecture, content hierarchy, entities, and relationships across industries, services, technologies, and customer challenges.
• Build an AI-ready content ecosystem that improves discoverability across Google, LLMs, AI assistants, and future agentic systems.
• Develop a semantic SEO and entity-first content strategy aligned with business objectives.
• Conduct interviews with customers, Solution Architects, Project Managers, engineers, and leadership to transform expertise into reusable knowledge assets.
• Create customer success stories, technical case studies, solution pages, whitepapers, executive content, landing pages, and industry resources.
• Lead thought leadership initiatives around the CEO and technical experts.
• Design and optimize AI-powered content workflows using modern AI tools and agents.
• Continuously experiment with new AI capabilities, content operations, and knowledge management approaches.
• Collaborate closely with Sales, Business Development, Delivery, and Leadership to ensure marketing supports commercial growth.
• Measure and optimize brand visibility, organic growth, AI discoverability, and content performance.

Requirements

• 5+ years in B2B Content Marketing, Brand Marketing, Content Strategy, Knowledge Management, or a related field.
• Experience developing and executing strategic content initiatives.
• Strong business storytelling and interviewing skills.
• Experience transforming technical expertise into business-focused content.
• Strong understanding of SEO, semantic search, content architecture, and information organization.
• Experience designing scalable content systems rather than only producing individual assets.
• Experience working with software development, SaaS, AI, technology, or ecommerce companies.
• Practical experience using AI tools (ChatGPT, Claude, Gemini, Perplexity, etc.) to improve marketing workflows.
• Ability to work independently, identify gaps, and drive initiatives with minimal supervision.
• Excellent English (Upper-Intermediate+).

Nice to Have

• Experience with Knowledge Management or Information Architecture.
• Understanding of entity-based AEO (Answer Engine Optimization), or LLM optimization.
• Experience with AI agents and agentic workflows.
• Experience with headless CMS platforms (Contentful, Storyblok, Sanity, etc.).
• Experience with Google Analytics 4, Search Console, Ahrefs, Semrush, or similar tools.
• Experience with ecommerce or digital commerce.
• Experience with PR, thought leadership, executive branding, or developer marketing.

What We Offer

• Fully remote work.
• Direct collaboration with company leadership.
• High ownership and freedom to shape Dinarys’ marketing direction.
• Opportunity to build a recognized brand in the international ecommerce technology market.
• A strategic role with significant influence on company growth, positioning, and business development.

Position name: Senior Frontend Developer
Level: Senior

Hard skills requirements (including years):

• Expert TypeScript / JavaScript and React — strong commercial frontend engineering at Senior/Expert level
• Strong Next.js experience and deep understanding of modern frontend architecture
• Demonstrable experience with agentic / AI-assisted software development in real delivery environments — NOT vibe coding; includes appropriate testing, validation and engineering controls
• Automated testing: Playwright for E2E, Jest / Vitest or equivalent for unit/component testing
• GitHub / GitHub Actions and modern CI/CD workflows
• Security-conscious engineering approach, particularly for sensitive / regulated / digital-asset environments
• Web3 / blockchain experience strongly preferred; strong FinTech or financial services background accepted as alternative where candidate demonstrates technical curiosity and ability to ramp quickly
• Ability to shape solutions from high-level or partially defined requirements without heavily specified tickets
• Contribute to frontend architecture and technical design decisions
• Technical guidance and mentoring to another frontend engineer (without formal line management responsibility)

Soft skills requirements:

• Pragmatic, entrepreneurial and product-minded approach
• Comfort challenging assumptions and constructively calling out poor technical or product decisions
• Strong engineering judgement in underspecified environments
• Sociable, collaborative style suited to a close-knit distributed team
• User-focused mindset and pride in crafting high-quality experiences

Key responsibilities:

• Deliver senior-level frontend features across the company's product estate
• Develop scalable, maintainable interfaces using TypeScript, React and Next.js
• Help establish mature agentic / AI-assisted development patterns and engineering controls
• Test own code thoroughly — unit/component and E2E — and collaborate with QA
• Proactively identify Web3 and application-security edge cases
• Provide technical guidance and mentoring to the Cayman-based frontend engineer
• Research unfamiliar product or Web3 topics independently and propose pragmatic solutions

About Faro

Faro is an AI memory layer that allows agentic systems to recall what it learned in the past. Faro currently outperforms industry leader Mem0 on the LoCoMo benchmark (94.1% vs 91.1%). Faro is the memory infrastructure that makes every AI agent more engaging and accurate to work with.

The Role

As an ML/AI researcher at Syntra, you will own the research geared at improving the Faro engine across areas such as: retrieval strategies, memory extraction quality, temporal reasoning, and the evaluation methodology.

You will design benchmarks, build the datasets and LLM judges that score them, run controlled experiments, and turn your research into production ready features. You will play a key role in keeping Faro ahead of its competitors and helping shape the overall product direction.

What you will Work On

• Benchmark datasets, ground truth, and evaluation harnesses
• LLM-judge scoring pipelines with confound controls
• Retrieval, chunking, and memory-extraction experiments
• Accuracy and latency improvements to the core recall engine
• Written recommendations backed by powered, reproducible measurements
• Research code that merges to main in small, production-safe PRs

Must-Haves

• 3+ years of applied ML/NLP research or equivalent industry R&D
• Strong Python capabilities
• LLM pipelines: prompt design, structured extraction, LLM-as-judge evaluation
• Embeddings + vector search (Qdrant, pgvector, Pinecone, or similar)
• Benchmark design: dataset construction, ground truth, statistically powered comparisons
• Engineering discipline: pytest, CI, code review, small reviewable PRs
• Self-starter or experienced with "startup pace"

Nice-to-Haves

• Memory-systems or RAG research (contextual retrieval, temporal reasoning, consolidation)
• Multi-provider LLM experience (OpenAI, AWS Bedrock, Cohere embeddings)
• Agent framework experience (LangChain, LlamaIndex, CrewAI, AutoGen)
• Publications or open-source evaluation and benchmark contributions
• Early-stage startup experience (Series A or earlier)

We will reach out and hold interviews on the week of September 7th, 2026. Thank you.

Our client is the leader in the Early Childhood Education (ECE) sector, providing the most widely used developmental assessment and curriculum system in the US. 

They are early in shaping how AI changes the way they build and operate software. They have active initiatives in AI tooling cost-management and agentic development workflows, but their direction is still forming and will keep evolving as the field does. 

They are not looking for someone to execute a fixed plan, they are looking for an experienced practitioner who can validate the direction we are setting, bring expertise we do not have in-house, stay ahead of what is emerging, and help us adjust and grow as the landscape shifts. This person is hands-on enough to build and prove things directly, and senior enough that we trust their judgment on where to place bets.

What you will do

• Act as a hands-on technical partner across AI engineering initiatives, currently spanning tooling cost management, model routing and selection, and agentic development workflows.
• Pressure-test the approaches they are considering, tell them where they are wrong or where a better path exists, and back it with evidence rather than opinion.
• Bring outside expertise and patterns from how other organizations are solving these problems, so they are not learning everything the expensive way.
• Track what is emerging across models, tooling, frameworks, and techniques, and translate it into concrete recommendations on what they should adopt, defer, or ignore.
• Build and run proofs of concept to validate ideas quickly, then help them decide what to operationalize.
• Help mature their agentic development workflow so engineering teams can adopt it, including model routing and token efficiency.
• Partner with Infrastructure and Security so that what they build fits their architecture and meets their data privacy obligations.
• Help them build internal capability, so the expertise compounds with their team and does not leave when the engagement ends.

Required background

• 5+ years in software, platform, or ML engineering, with recent, direct experience building and operating LLM-backed systems in production.
• Demonstrated breadth across the current AI engineering stack: models and their tradeoffs, inference cost dynamics, gateways and routing, agentic workflows, and the AI coding tool landscape.
• A track record of forming a point of view on fast-moving technical decisions and being right often enough to be trusted with them.
• Strong hands-on engineering ability. This person builds, benchmarks, and ships, not just advises.
• Comfort operating with ambiguity and early-stage direction; able to bring structure rather than wait for it.

• Cloud and infrastructure fluency (AWS preferred, including Bedrock).

   

Strongly preferred

• Experience helping an organization adopt AI-first engineering practices, not just individual tool use.
• Hands-on model evaluation and routing design, and exposure to AI cost governance.
• Experience in regulated data environments. 
• A habit of staying current through real practice (building, writing, contributing) rather than headlines.

What this role is not

• Not a fixed-scope implementation seat. The work will change as their direction evolves, and they want someone who helps drive that change.
• Not a data science or model training role. The focus is applied AI engineering, integration, and enablement.
• Not a manager. Individual contributor, hands-on, with influence earned through expertise. 

Workload: full-time, 40 hours per week
Start: asap but can be discussed
Duration: long-term
Location: any remote, preferably within ±3 hours of CET
English: B2-C1

We are looking for a highly capable AI-First Golang Team Lead Engineer to join a project where they'll build an AI tourism platform. This is not a traditional coding role. We don’t need coders; we need engineers who build features end-to-end using AI coding tools (Claude Code preferably!).

Details !!:
- CRITICAL: 2-3+ years of technical leadership experience leading a team, squad, pod, or similar unit (a hard must). Demonstrable experience of leading delivery within a team: coordinating, breaking work down, representing the team in planning and stakeholder conversations, facilitating outcomes.
- CRITICAL: Senior Golang Developer, 5+ years of experience
- CRITICAL: AI-first delivery: proven, demonstrable experience using Claude Code or similar agentic AI tools is a hard must (specific examples expected on the application).
- CRITICAL: Strong proficiency in English (Upper-intermediate level or Advanced)
- Hands-on engineering position
- Not a people-management role

You must have:
● 2-3+ years of technical leadership experience leading a team, squad, pod or similar unit (a hard must, think team lead or early-stage engineering manager)
● A developer's background (5 years minimum): you have seen production reality with your own hands before moving towards leading people
● A genuinely product-driven mindset: you think about user value and business outcomes before implementation
● Comfort facilitating and coordinating a pod without relying on formal authority
● Willingness and ability to take part in client meetings and act as the external face of your pod
● Excellent spoken and written English for planning sessions, stakeholder updates and client conversations
● Ownership mentality with a strive for elegantly simple, high-quality solutions; you test your own work thoroughly since we have no QA team
● Proven experience using Claude Code; share specific examples
● Solid Golang experience; you'll review AI's code, and you must understand how it works
● Ability to do on-call once in a while to help maintain our platform's reliability & uptime
●  European or African time zones (±3 hours from CET)
● Available full-time (40 hours/week). Must-Have Requirements (Team Lead — no flexibility on any)
● Go (Golang): Real production experience, not just personal projects. No flexibility on other technologies.
● AI/backend engineering: Deep knowledge of building and productionizing complex AI systems — observability, reliability, quality
● Product mindset: Ability to think beyond engineering toward product outcomes
● Leadership: Capable of leading without needing coaching or internal mentoring
● English communication: Very strong, given client-facing responsibilities
● Minimum 5 years of experience across the board
● Candidates should be responsible for testing their own code — QA ownership expected
● The Team Lead will head a small pod (not a traditional manager with direct reports)
● Client-facing responsibilities begin from onboarding, with full client-facing ownership expected to grow over time

Also, they will have on-call duties (now it’s during working hours and weekends, rotation among team members, but later they want to have 24/7 on call, so one person will be on-call for 24 hours (probably) and it will be compensated extra). Desirable skills (would be a benefit): Any special requirements for the person

Nice-to-Have
● German language: A significant bonus but not required — the one criterion the client can flex on

Come Back Agency is a recruitment agency that helps IT companies grow their teams with the right people. Right now we are looking for a Content Manager for our client - SoftDoes.

Soft Does is an IT company whose services are used by businesses across the US, including non-technical ones. The company is scaling its website content: SEO-optimized service pages are already live, with more pages, technology descriptions and blog content planned. 

You will work in tandem with the company's current Content Manager, who will onboard you, set priorities and review your work. The workflow is self-managed and result-oriented: you pick tasks from the internal management tool and own them end to end.

About the Role

Your main focus will be on creating and managing website content. You will write, edit, and optimize SEO-focused content, then publish it in the CMS using ready-made templates. Most of your work will involve writing and editing texts, while the remaining time will be spent formatting pages, the visual part, and managing content within the CMS platform.

What You'll Do

• Create SEO-optimized texts following the established content structure (we work in Surfer SEO)
• Edit and rework AI-generated drafts: remove cliches, add uniqueness, adapt the text to our structure
• Create and fill service pages in the CMS using templates - with high attention to detail
• Work with keywords and make sure every page is optimized for Google and AI search
• Use AI tools (e.g., Gemini) for research and information gathering
• Manage your own task flow in the internal management tool
• Search for, generate (AI) and basic image editing for pages or texts (if necessary)

• Over time - additional content tasks: blogs, outreach articles, new page types (technology pages, etc.)

   

What We're Looking For

• 6+ months of experience as a Content Manager, Copywriter, SEO Copywriter or Content Creator with a focus on texts (not graphic or video content creation)
• Hands-on experience with any CMS (WordPress, Shopify or similar - university or internship experience also counts)
• Confident use of AI tools for content beyond ChatGPT: you write detailed prompts and critically edit the output instead of copy-pasting it
• Understanding of SEO basics and keyword work (e.g., Google Keyword Planner or similar tools)
• English B1 - enough to read and edit texts 
• Attention to detail, self-management, and a result-oriented approach
• Interest in IT topics and informational content

Nice to Have

• Experience with Surfer SEO or similar SEO content platforms
• Experience creating content for the US market
• Familiarity with Google Search Console
• Experience writing content for tech / IT companies

What We Offer

• Working hours aligned with US time zones, typically 16:00- 00:00 Kyiv time
•  English lessons to support clear and confident communication
• Paid vacation and sick days
• Fully remote work
• Opportunities for professional growth within the team
• Structured, personalized onboarding to help you ramp up effectively

Hiring stages: Screening call - Test task - Technical interview

Apply with your resume and a short note outlining your relevant experience. You can also submit it through our website at comeback.ua. Selected candidates will be contacted by Come Back Agency.

We're looking for a Technical PM who owns delivery of digital banking products built on Trigger Neobank Engine — from pre-sale and scope negotiation to production launch.

You will be the person the client trusts and the person the team follows.

⛔ Please DO NOT apply to this position if you don't know

• What JSON is and how to work with it
• What Swagger is and how to test an API using Postman
• Anything about IT architecture and data types
• How to dive deep into technical topics and find out solutions

We're looking for a problem solver, not a ping-pong player.

We'd prefer working with an open-minded, fast-learning middle-grade specialist rather than a well-seasoned, snail-paced C-level genius.

🤖 AI is mandatory, not a bonus

If you don't use AI in your daily work and can't work with AI agents — please don't write to us.

We expect you to run your project with AI: meeting and call processing, scope and estimate drafting, risk analysis, status reporting, requirement decomposition, client correspondence, documentation, and custom agents for your own routine. A PM who still does all of this by hand is a bottleneck. Candidates without practical AI experience will not be considered.

🚀 Project

Trigger Neobank Engine enables banks, fintechs, and telecoms to launch full digital banking products — onboarding, payments, cards, credit modules, corporate banking — 5x faster and at 10x lower cost. Our clients are banks and telecoms in emerging markets. Projects are technically deep, regulated, and business-critical.

🎯 Requirements

• Own the project from the start or earliest stage
• Be an entrepreneur and act as the customer's agent: build client relations and business insight, propose extra services the customer actually needs
• Take part in pre-sale and up-sale on your account — and help with other pre-sales
• Take an active part in technical negotiations of scope and architecture, and in defining the business terms of contracts
• Work with business stakeholders to define project vision, goals, and product functionality
• Control KPIs (profitability, revenue, utilization) and act to keep them at the best possible level
• Plan, manage, and monitor execution; deliver on time and within budget
• Supervise delivery through active leadership of the team; ensure projects are tailored and delivered according to the best-fit delivery model
• Provide high-quality risk analysis; track, act upon, and communicate risks properly to your customers
• Implement best practices and tools for project execution and management — including AI-based ones

🛠 Required Skills

• At least 5 years of commercial experience in project management
• Real, provable experience using AI tools and AI agents in daily work — mandatory
• Multitasking: proven ability to manage 3+ medium-size projects simultaneously
• Proactive mindset is a must
• Technical skills/knowledge is a must
• Understanding of basic IT architecture principles
• Understanding of how APIs work; ability to use Postman to test APIs
• Profound knowledge of project management processes, methodologies, and tools
• Excellent communication and presentation skills for both customers and engineering teams
• Risk management skills
• Leadership skills
• Excellent negotiation and problem-solving skills
• Advanced understanding of corporate environment and objectives; ability to propose solutions to achieve them
• Intermediate level of English and higher

⭐ Nice to have

• Fintech/banking delivery background: payments, cards, onboarding, KYC, core banking integrations
• Experience with regulated enterprise clients and their procurement/security review processes
• Product-side experience: discovery, roadmap, prioritization, metrics
• Own AI workflows: custom agents, prompt libraries, automated reporting pipelines
• Experience with configuration-driven or platform products (not custom one-off development)

📚 Mindset

• Ownership end-to-end — the client's outcome is your outcome
• AI-first: your leverage comes from tooling, not from working longer hours
• Comfortable being the most technical person in a business meeting and the most business-minded person in a technical one
• Sees risks early and escalates with a proposed solution attached

🎁 Offer

💻 100% remote

💵 Competitive salary in USD

⏰ Flexible schedule

🏦 A world-class fintech platform

🧠 Strong engineering culture and experienced leadership

🌍 Top-tier banks, fintechs and telecoms across emerging markets

🚀 Growth into Solution Architect or Product Owner

We're looking for a hybrid BA + low-code automation engineer — someone who can talk to a bank's business stakeholders in the morning, and by evening have the process running as an executable workflow.

This is a role for people who think in state machines, not in Word documents.

⛔ Please DO NOT apply if you don't know

• What JSON is and how to work with it — you will live inside JSON payloads
• What Swagger is and how to test an API using Postman
• Anything about IT architecture, data types, sync vs. async, webhooks, and idempotency
• How to dive deep into a technical topic and come back with a solution
• How to model a real business process as states, transitions, and error branches

If your BA experience is limited to writing requirements and passing them to developers, this role is not for you. You will build.

We're looking for a problem solver, not a ping-pong player.

🤖 AI is mandatory, not a bonus

If you don't use AI in your daily work and can't work with AI agents — please don't write to us.

We build an AI Application Runtime, and we use AI to build it: requirement analysis, process decomposition, generating workflow logic, writing and reviewing JS/JSON inside nodes, drafting specs and documentation, building agent-driven automations for internal operations. Candidates without practical, demonstrable AI experience will not be considered.

Bring examples: your agents, your prompt libraries, your automations. We will look at them.

🚀 Project

Trigger Neobank Engine enables banks, fintechs, and telecoms to launch full digital banking products — onboarding, payments, cards, credit modules, corporate banking. Business logic is expressed as configurable, orchestrated processes rather than hardcoded services.

You will design and implement the processes that run real banking products.

🎯 What you'll do

• Elicit requirements from banks and fintech clients; convert vague business intent into precise, executable specifications
• Design process logic: state machines, decision trees, compensation and error-handling branches, SLAs and timeouts
• Build and maintain workflows in n8n / Corezoid / Node-RED — including JS code nodes, API calls, and data transformation
• Integrate external systems: core banking, processing, KYC/AML providers, payment rails, notification channels
• Design and document API contracts together with backend engineers
• Build AI-agent-based automations: routing, classification, document processing, operational assistants
• Test your own processes: Postman, log analysis, edge cases, retries, duplicate protection
• Write clean documentation: process diagrams, data flows, integration specs
• Support implementation teams during rollout and troubleshoot production behavior

🛠 Required

• 3+ years as a Business Analyst, Solution Analyst, Integration Engineer, or low-code developer
• Real, provable experience using AI tools and AI agents in daily work — mandatory
• Hands-on experience with at least one process/automation platform: n8n, Corezoid, Node-RED, Camunda, Temporal, Zapier/Make at a serious scale
• Confident with JSON, REST, webhooks, authentication (OAuth2, API keys, signatures)
• Ability to write basic JavaScript for data transformation inside workflow nodes
• Postman and Swagger as everyday tools
• SQL at a query level
• BPMN or equivalent process modelling
• Ability to structure your own work and drive a topic to closure without supervision
• Intermediate English or higher

⭐ Nice to have

• Fintech domain: payments, cards, onboarding, KYC/AML, ledgers, reconciliation
• Experience with Kafka or other message brokers
• Understanding of event-driven and microservice architecture
• Building your own AI agents / MCP tools / retrieval workflows
• Experience with server-driven UI or configuration-based platforms

📚 Mindset

• Ownership from requirement to production behavior
• AI-first: automate your own analyst work first
• Thinks about failure paths before happy paths
• Curious about what happens one layer below the abstraction

🎁 Offer

💻 100% remote

💵 Competitive salary in USD

⏰ Flexible schedule

🏦 A world-class fintech platform

🧠 Strong engineering culture and experienced leadership

🌍 Top-tier banks, fintechs and telecoms across emerging markets

🚀 Growth into Solution Architect or Product Owner

We are looking for a Senior AI/ML Engineer with strong production experience in AI engineering and a solid commercial background in legal / commercial contracts.

Both areas are mandatory. A strong AI Engineer without hands-on experience working with commercial contracts will not be a fit for this role.
 

Must-Have Skills

AI / ML Engineering

• Strong commercial experience with Python
• Production experience with LLM-based and agentic AI systems
• Experience designing AI agent architectures
• Hands-on experience with tool use and MCP (Model Context Protocol)
• Experience with OCR / Document AI
• Experience parsing and processing documents, images, tables and structured/unstructured data
• Experience with LLM evaluation and testing
• Practical approaches to hallucination detection, mitigation and control
• Experience building reliable, production-ready AI systems

Commercial Contracts / Legal Domain

Hands-on commercial experience working with commercial contracts is required.
 

The candidate should understand:

• Master Agreements
• Amendments
• Statements of Work (SOWs)
• Exhibits / Attachments
• Amendment chains and contract versions
• Order of precedence
• Identifying and resolving conflicts between contractual documents
• Common commercial contract clauses
• Extracting, comparing and reasoning over contractual terms

What You'll Do

• Design and develop production-grade LLM and agentic AI solutions
• Build AI agents capable of working with complex commercial contract documents
• Develop document processing pipelines covering OCR, text, tables and images
• Implement tools and MCP-based integrations for AI agents
• Build evaluation frameworks and testing strategies for LLM-based systems
• Improve reliability and reduce hallucinations in production AI workflows
• Work with complex contract structures, amendments and related documents
• Translate business and legal requirements into robust AI solutions
   

Ideal Candidate

You are a strong AI/ML Engineer who also understands how commercial contracts are structured and interpreted in real-world business environments.

We are specifically looking for someone who can combine deep AI engineering expertise with practical commercial contracts knowledge.

We are looking for a talented Agentic Full stack Engineer (AI-Native Delivery) with 3+ years of commercial full stack experience, to join an established, revenue-generating B2B platform for the materials industry.

This is not a "write code with AI" role — it's an operate AI agents role: decompose work, fan it out to parallel coding agents, verify adversarially, ship across the stack.

JOB REQUIREMENTS:

Must have:

• 3+ years of commercial fullstack development experience (React + Node.js/TypeScript, or Python)
• Hands-on, practical experience directing multiple AI coding agents in parallel — isolated worktrees/branches, adversarial verification of agent output, spec-driven development, and building reusable AI skills/hooks/commands for recurring workflows 
• Working knowledge of PostgreSQL and basic understanding of cloud infrastructure (Terraform/AWS)
• Ability to work fully autonomously and communicate directly with an English-speaking client team without a manager in between
• English — Upper-Intermediate or higher

Nice to have:

• Experience with SAP / enterprise ERP integration (RFC/BAPI, ABAP, customer & order master data)
• Experience in multi-tenant / B2B SaaS platforms
• Familiarity with compliance frameworks (GDPR, SOC 2, ISO 27001)
• Experience building internal tooling for other engineers
• Design-system literacy

Key Responsibilities:

• Full-stack development across the client's platform — from a React component to a Postgres row-level-security policy to a Terraform module
• Cross-boundary root-cause debugging: auth, pagination, dependency conflicts, integration mismatches
• Turning recurring tasks into reusable AI agent skills, hooks, and commands so the next run is faster
• Proving results with concrete evidence — fixtures, payloads, read-back records — rather than relying on a green CI badge alone

PROJECT

Customer: Established, revenue-generating international platform for the materials industry, backed by a large global industrial distribution group.

Type: B2B SaaS / marketplace platform.

Product: The platform serves as a digital backbone for companies across the materials industry — chemicals, polymers, elastomers, rubber — replacing a patchwork of separate CRMs, ERPs, and spreadsheets with one connected system that turns commercial interactions and physical assets into structured, usable data.

Market: Global materials/chemicals industry, client team based in the US.

Stage: Mature, actively growing platform with an established engineering team (not a from-scratch build).

Project team: 3 developers, 2 QA, 1 DevOps on the delivery side, plus a dynamic client-side team. 

Work schedule: Full-time, full remote 

INTERVIEW STAGES:

• 1-st stage — Call with the Recruiter
• 2-nd stage — Interview with the technical specialist and the recruiter

• 3-rd stage —  Interview with the client

   

OUR BENEFITS:

• Projects with modern JS stack (React.js, React Native, Angular, Node.js)
• Strong JavaScript community at the company (90+ developers)
• Work from anywhere (fully remotely or in our office)
• Paid vacations and sick-leaves, additional days-off, relocation bonus
• Wellness: Medical insurance/ sport compensation/ health check-up+flu vaccination at your choice
• Education: regular tech-talks, educational courses, paid certifications, English classes
• Fun: own football team, budget for team-lunches, branded gifts
• One of the best IT employers in Lviv (or IT service companies in Ukraine) based on DOU rating

We're looking for a AI Video Creator to join our team and create gameplay videos and UA creatives for our mobile games.

You'll work closely with the UA team, capturing gameplay, editing videos and producing creative variations that help us test new ideas and improve performance.
 

What You'll Do

• Capture high-quality gameplay footage and stills across our games, with a good instinct for finding the most compelling moments
• Create AI-assisted UA videos from raw gameplay footage and turn them into testable creative variations
• Edit and enhance footage with sound, transitions, effects and pacing for short-form formats
• Work with AI-assisted creative tools to generate and iterate on new creative concepts
• Work closely with the UA team, using creative performance results to produce new variations and concepts
• Adapt and version videos for different channels, placements, formats and aspect ratios

• Collaborate with game, marketing and UA teams to develop new creative ideas

   

What We Expect

• Experience working with AI-assisted creative tools, or a strong interest in using them in your workflow
• A portfolio that demonstrates strong video editing skills and a good understanding of what makes creative work, including examples of AI-assisted creative
• Experience in gameplay capture and video editing, ideally for UA or performance marketing
• Experience capturing and editing gameplay across different games
• Understanding of short-form video formats and performance-driven creative
• Ability to produce high-quality creative quickly and iterate based on feedback and performance
• Good understanding of games and an instinct for finding moments that are interesting to different audiences
• Attention to detail and ability to work independently

• Good communication and organizational skills, with the ability to work on multiple projects in parallel

   

Nice to Have

• Experience with motion design, graphic design or animation
• Affinity for internet culture, trends and memes
• Experience working with a UA team, performance marketing agency or in a high-volume creative testing environment

About the company

Are you tired of missing important moments in your weekly game because no one recorded you? Say goodbye to FOMO and hello to PUSHIT!

PUSHIT allows you to easily catch up on all the highlights you did while playing your sports game.

Our advanced replay system allows you to capture moments previously taken, so you never have to miss anything.

See those videos for more information about PUSHIT:

1. https://www.youtube.com/watch?v=uQrXgheKjCg
2. https://www.youtube.com/watch?v=pmdihAft2f8

See our current mobile apps:

1. IOS
2. Android

What is the job

You’ll be the Machine Learning Engineer on a compact, fast-moving team, working directly with the founders. Your mission: design, train, and ship computer-vision models that recognize sports events and generate highlight videos—running both in the cloud and on edge devices.

Responsibilities

• Build & improve CV models – object detection, action recognition, semantic segmentation, tracking, and event classification for multi-camera sports footage.
• Optimize for the edge – convert and quantize models (TFLite/ONNX/RT-Core) so they run in real time on Raspberry Pi 5 and ARM-based phones.
• Own the ML pipeline – data collection, labeling guidelines, experiment tracking (Weights & Biases / MLflow), automated training, and CI/CD to Kubernetes.
• Collaborate cross-functionally – work with backend, video-encoding, and mobile teams to integrate inference results into our NestJS APIs and Flutter/Angular clients.
• Raise the bar – research state-of-the-art techniques, run ablation studies, author technical specs, and mentor future student interns.

Requirements

• Strong Python (3 yrs+) and deep-learning expertise with TensorFlow and/or PyTorch.
• Solid background in computer vision: convolutional nets, attention mechanisms, spatio-temporal models (e.g., I3D, SlowFast).
• Experience deploying models to mobile or edge hardware (TFLite, Core ML, TensorRT, or similar).
• Familiarity with Docker & Kubernetes workflows for scalable training/inference.
• Proven ability to turn research into production code: at least one project or product in the wild (GitHub, app store, or academic publication).
• Comfortable with version control, code reviews, agile tickets, and writing clear documentation.
• Passion for sports—or at least enough curiosity to spot a backhand winner or a slam-dunk replay!

• English—professional level (our dev team is global).

   

Bonus points

• Experience with video encoding pipelines (FFmpeg, HLS, RTMP) or real-time streaming protocols.
• Knowledge of AWS/GCP services for training at scale (SageMaker, Bedrock, Vertex AI).
• Skills in data annotation tooling or active-learning strategies to shrink labeling budgets.
• Background in satellite or aerial image segmentation, sign-language or face-recognition projects (great analogies to sports CV challenges).

• Love for open-source: contributions to CV libraries.

   

Why PUSHIT?

• Ship features that thousands of weekend athletes use every day.
• Work on cutting-edge CV problems with real-time performance constraints.
• Small team ⇒ huge ownership, zero bureaucracy.
• Fully remote
• Competitive salary, early equity, and budget for conferences & GPUs.

Our Mission and Vision

At Solidgate, our mission is clear: to empower outstanding entrepreneurs to build exceptional internet companies. We exist to fuel the builders — the ones shaping the digital economy — with the financial infrastructure they deserve. To achieve that, we’re on a bold path: to become the #1 payments orchestration platform in the world.

We believe the future of payments is shaped by people who think big, take ownership, and bring curiosity and drive to everything they do. That’s exactly the kind of teammates we want on board.

We're building the #1 payment orchestrator in the world — and the names behind us prove it. Clients include Bolt, Ajax, Nova Post, MEGOGO. Trusted by giants like J.P. Morgan. Ranked #2 in the "Employer of the Year 2026" award by Forbes Ukraine.
 

About the Role

Our marketing mission is simple: Solidgate should be everywhere. Every channel. Every conversation. Every feed.

⚡ This role is for a builder — someone who knows that great content doesn't happen on its own, it's created, tested, and refined every single day.

We're looking for a Senior Content Manager who will be the bridge between product, sales, and the market. Someone who turns complex fintech into stories that CPOs and CFOs at target companies actually read. Not a brief executor — a channel owner who plans, decides, and publishes.
 

What you'll own

• Full ownership of the LinkedIn channel — content plan, writing, publishing, and analytics. Your posts land in front of CPOs and CFOs at our target companies.
• Product content: turn feature releases and product updates into blog posts, LinkedIn content, and website copy that actually connects with B2B buyers.
• Stakeholder management: independently extract insights from product, sales, and AM teams — no chasing required. Build bridges so content flows without bottlenecks.
• PR & thought leadership: expert articles, media commentary, and thought leadership content that establishes Solidgate as the go-to voice in payments.
   

You'll be great at this if

• You have 2+ years in B2B/SaaS content marketing and have independently owned a company LinkedIn channel — not just contributed to one.
• Your English is C1+ and you can write product-heavy content that doesn't sound like a manual.
• You don't wait for a detailed brief. You show up with ideas and drive them to publish.
• You have written case studies and product content — not just SEO articles about abstract topics.
• Fintech or payments background? That's a major plus — but deep curiosity and a fast learning curve can get you there too.
   

Why Solidgate?

Real impact. Your LinkedIn post is read by CPOs and CFOs of companies we're closing. Your case study ends up in the sales deck.

True autonomy — you own the channel. Plan, decide, publish — no approval queue for every post.

Speed — minimum bureaucracy. Short feedback cycles. Decisions actually get made.

Fintech depth — go deep into the payments industry alongside a team with 10 years of experience.

Growth path — a clear road to Head of Content or Content Lead at a fintech company with global reach.
 

🫂 Know top talent? We’re always on the lookout. Recommend someone for our role, and if they get hired, there’s a bonus waiting for you — simple as that.

About the Role

As a Solutions Engineer, you'll embed with customers to design, build, and ship production software fast — full-stack apps, cloud infrastructure, and applied AI solutions built around Python or Node.js. As this is an outstaffing role with a German HR-tech company, strong written German is required for day-to-day communication with the client team.

What You'll Do

• Build and ship Python-based applications, APIs, and integrations directly with customers, from prototype to production.
• Design and deploy cloud-native, containerized infrastructure (Azure/AWS/GCP) with CI/CD and Infrastructure as Code.
• Build and productionize GenAI/agentic solutions (RAG, vector search, LLM orchestration) using Python frameworks like LangChain/LangGraph.
• Lead PoCs and modernization efforts that turn customer problems into working solutions.

What You'll Bring

• Strong Python engineering skills — APIs, microservices, data pipelines, and automation.
• Cloud experience (Azure, AWS, or GCP) with containers/Kubernetes and IaC (Terraform).
• Hands-on GenAI/ML experience: LangChain, LangGraph, RAG, vector databases (Pinecone/Weaviate/FAISS).
• Comfort working directly with customers in fast-moving, ambiguous engagements.

Nice to Have

• Experience with additional languages (JS/TS) or frontend frameworks.
• Cloud or enterprise architecture certifications.