Jobs AI

Creatio is an AI CRM and workflow platform where people and AI agents work together - with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.

We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.

In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.

Who We’re Looking For

We are looking for an AI Software Engineer to design, build, evaluate, and operate AI-powered capabilities within the Creatio platform.

You will join the AI teams building the agent platform that enables AI agents to safely perform real work in the product: call tools and APIs, read and write data, maintain context, follow permissions, and escalate to humans when needed.

The team also owns the core infrastructure for testing, monitoring, logging, observability, and cost/performance control, ensuring AI agents are reliable, scalable, secure, and production-ready.

This role combines strong software engineering expertise with hands-on AI engineering experience. You will work on enterprise-grade AI solutions, including assistants, copilots, knowledge systems, semantic search, RAG-based capabilities, and agentic workflows.

Responsibilities:

• Design and implement AI-powered product features within the Creatio platform.
• Build assistants, copilots, agentic workflows, knowledge systems, RAG, and semantic search capabilities.
• Integrate LLM providers, tools, enterprise data sources, and MCP-based solutions.
• Develop and maintain backend services using C# and .NET.
• Build evaluation frameworks, quality gates, and observability practices for AI solutions.
• Monitor and improve the quality, latency, cost, reliability, and security of AI capabilities.
• Apply AI coding assistants and engineering agents as part of the daily development workflow.

Requirements:

• Strong experience with C# and .NET.
• Hands-on experience with LLMs, prompt engineering, function calling, and structured outputs.
• Understanding of agent architectures, MCP, RAG, embeddings, vector search, and semantic search.
• Experience with AI evaluation, observability, security, and Responsible AI practices.
• Solid understanding of API design, distributed systems, and software architecture.
• Experience with SQL databases, testing, CI/CD, and cloud-native development.
• DevOps fundamentals, including Docker containerization and basic Kubernetes knowledge.
• Strong knowledge of engineering best practices and production-grade software development.

What to expect from us:

• Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
• Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
• Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
• Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
• Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

We are seeking a skilled ML/AI Engineer to join our team and deliver cutting-edge ML/AI models in the ASR domain and legal insights more broadly. The core of this role is building, deploying, and serving ML models in production. 

A key part of this role is speech engineering — prior ASR/speech experience is not a must, but a willingness to learn and grow into this domain is essential. Experience with LLM-based solutions and agentic flows is an advantage, not a requirement. 

What you’ll do: 

• Build, deploy, and serve ML models in production — the core of the role — optimizing inference performance, latency, and efficient GPU utilization. 
• Support and extend our speech solutions, including 3rd-party ASR integrations and self-hosted ML models. 
• Evaluate and optimize key ASR/ML metrics such as WER, latency, F1 score, EER, and DER. 
• Secondary: Integrate LLMs and agentic flows into production solutions where they add value, including fine-tuning existing models. 

What you’ll bring: 

Core (required): 

• Solid background in machine/deep learning, with 4+ years of experience. 
• Strong Python skills and experience working in Linux environments. 
• Familiarity with deep learning libraries (e.g., PyTorch, TensorFlow) and training workflows. 
• Experience with MLOps pipelines and serving/deploying models in production. 
• Experience optimizing models for inference, including GPU acceleration. 
• Experience with Docker, gRPC, and serverless / micro-services architectures on cloud infrastructure (AWS/GCP/Azure). 
• Experience with real-time / streaming systems and low-latency processing (e.g. streaming pipelines, live sessions). 

Nice to have (secondary / optional): 

• Experience building and productizing agentic flows and AI-driven solutions (1+ year). 
• Familiarity with LLM / agent orchestration frameworks such as CrewAI, AWS Bedrock, Temporal, AgentCore, or LiteLLM. 
• Prior ASR / speech experience — not required; willingness to learn this domain is what matters most. 

Overview

We are looking for a detail-oriented and motivated  Quality Assurance Specialist to join our team. This is a great opportunity for someone who has completed a QA Academy, QA training program, or similar practical course and is ready to start their professional career.

No prior commercial experience is required, but candidates should have a basic understanding of QA processes, testing web applications, writing test cases, and documenting requirements.

This role is ideal for someone who can learn quickly, communicate clearly, organize information, and help ensure high-quality delivery of web applications.

Key Responsibilities

• Gather, analyze, and document business and functional requirements
• Collaborate with stakeholders, developers, and team members 
• Create and maintain test cases and test scenarios based on requirements
• Perform functional, regression, and exploratory testing of web applications
• Identify, document, and track defects through resolution
• Maintain clear and consistent documentation across all deliverables
• Learn and follow team processes, tools, and quality standards

Requirements

• Completed QA Academy, QA bootcamp, QA training program, or equivalent hands-on QA course
• Basic understanding of software testing concepts and QA processes
• Ability to write test cases, test scenarios, and bug reports
• Basic understanding of web applications and how users interact with them
• Strong attention to detail and ability to organize information clearly
• Analytical thinking and problem-solving mindset
• Good written and verbal communication skills
• Willingness to learn, ask questions, and improve through feedback
• Familiarity with tools such as Jira, Trello, Excel, Google Sheets, or similar tools

Nice to Have

• Practice testing web applications during QA Academy or training projects
• Experience creating documentation, user stories, or acceptance criteria
• Basic understanding of Agile/Scrum processes
• Exposure to HR, recruiting, or business operations systems
• Basic understanding of APIs, databases, or backend systems
• Portfolio, training project, or sample test documentation

Experience Level

This is an entry-level role. We welcome candidates with no prior commercial experience, provided they have completed QA Academy or similar QA training and can demonstrate basic hands-on skills in software testing, documentation, and analytical thinking.

Candidates with internship, freelance, training project, or personal project experience are also encouraged to apply.

The mission:

• Execute domain research. Market demand, search and prompt volume, competitive density. Present it as a defensible case.
• Build domain authority. Pillar-and-cluster architecture, a publishing cadence we can sustain, and pages that reach top 1–3 for the queries that matter.
• Get ranked by Google/bing. Push pages to top 1-3.
• Get cited by AI. Show up in AI Overviews, ChatGPT, Claude, Gemini, and Perplexity answers for our target topics.
  
  What you’ll do:
• Run market, competitor, and trend research; identify rising and exploding topics before they’re saturated
• Own keyword and prompt strategy
• Prepare and post content that actually gets traffic
• Design and maintain site architecture, internal linking, and crawl health
• Turn engineer-written technical material into clear, publishable, SEO/GEO-optimized content – and publish it yourself in WordPress and LinkedIn
• Produce and edit visuals (Canva, AI image tools) with proper alt text and on-page hygiene
• Build backlinks and off-site presence
• Instrument and report: Search Console, Analytics, rank tracking, AI-visibility monitoring — with a clear read on what’s working and what to kill
• Automate your own repetitive work with scripts

Requirements:

1. Search – expert level: technical SEO, on-page, off-page, and AI/answer-engine optimization. Topical authority through pillars and clusters. Demonstrated history of taking pages to top 1–3 and lifting a domain’s authority.
2. Tools: WordPress admin, Ahrefs (or equivalent), Screaming Frog or similar crawler, Google Search Console, Analytics, News, SERP APIs, Canva and AI image generation. Working fluency with ChatGPT, Claude, Gemini as both research tools and ranking surfaces.
3. Writing: scientific and technical clarity – clutter cut, active voice, verb-driven sentences, paragraphs that hold a single idea. You’ll be editing PhD-level engineers; you need to be credible to them and readable to their buyers.
4. Technical background: AI/ML, data science, or computer science – enough to understand AI agents, model architectures, and data visualization without hand-holding. Python at a working level: scripting, basic OOP, API calls, automating your own routines.
5. Research instinct: you can size a market, read a competitive landscape, and spot a trend early enough to matter.
6. Ownership of the business process – SEO/AIO. The outcome is the number of organic leads with commercial intent.

To apply send:

1) two pages you took to page one, with before/after data;

2) two examples of published technical content;

3) a paragraph on a domain you think we should own and why.

An international energy trading company is looking for an AI Adoption & Enablement Lead to work remotely.

The team develops digital products at the intersection of energy trading and technology, helping shape the market in real time.

Operating across 23 countries with offices in Switzerland, Croatia, the Netherlands, and Ukraine, our 75-person team drives massive market impact. In 2024 alone, we managed 122.6+ billion kWh within the largest private balancing group, traded 34.4+ billion kWh of electricity, and handled 1.8 billion m³ of gas.

Requirements: experience in systems analysis, participation in transformation projects or systems integration, and hands-on experience with AI tools.

Nice to have: experience implementing AI tools within business processes, as well as experience in fintech or trading projects.

What we offer: 100% remote work, flexible schedule, long-term B2B contract, corporate hardware, 20 working days of paid vacation, covered sick leaves, and a highly influential role shaping the company's AI architecture.

YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.
We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.
Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.
 

Our client’s product is a cloud-based financial planning and analysis (FP&A) platform designed for SMBs, transforming manual monthly and quarterly reporting into automated, scalable processes. Solution connects to organizational systems such as ERP, CRM, HRIS, and complex Excel files, consolidating all data into a single cloud-based database. Product automates critical financial transformations including FX conversions, eliminations, hierarchies, financial adjustments, and more while allowing end-users to continue working in Excel as they always have. Serving primarily the US market, our client is experiencing strong and sustained growth. This is an exciting opportunity to lead a multidisciplinary R&D team and work on a cutting-edge SaaS product at scale.

Key Requirements:

🔹Strong Python and system design fundamentals — enough to make sound technical calls and catch when the AI is wrong;
🔹Experience delivering software from idea to production;
🔹Excellent system design and architectural thinking;
🔹Ability to make technical decisions independently and take ownership of outcomes;
🔹Experience working with AI coding tools such as Claude Code, Cursor, Codex, GitHub Copilot, or similar;
🔹Strong product mindset and the ability to balance technical and business priorities;
🔹Comfortable working in ambiguous, fast-moving environments;
🔹Excellent communication and collaboration skills;
🔹Ability to review, challenge, and improve AI-generated output rather than relying on it blindly;
🔹Experience building AI-native development workflows;
🔹English – Upper-Intermediate or higher.

Will be plus:

🔹Django experience;
🔹Experience with modern frontend technologies, QA automation, or full-stack environments;
🔹Experience working in product companies or startups.

What you will do:

🔹Own features end-to-end, from initial requirements to production and monitoring;
🔹Partner with Product to turn requirements into clear execution plans — Product owns the what, you own the how;
🔹Orchestrate AI agents across development, QA, and automation;
🔹Review, validate, and improve AI-generated code and solutions;
🔹Make architectural decisions, define data models, and optimize system performance;
🔹Ensure high quality throughout the entire delivery lifecycle;
🔹Own a feature area while contributing across other areas when needed;
🔹Collaborate directly with engineering and product teams to continuously improve delivery processes.

Interview stages:
 

🔹 HR Interview;
🔹 Tech interview with Team Lead;
🔹 Interview with PM;
🔹 Interview with VP R&D (optional);
🔹 Reference check;
🔹 Offer.

Why Join Us?

At YozmaTech, we’re self-starters who grow together. Every day, we tackle real challenges for real products – and have fun doing it. We work globally, think entrepreneurially, and support each other like family. We invest in your growth and care about your voice. With us, you’ll always know what you’re working on and why it matters.

From day one, you’ll get:

🔹 Direct access to clients and meaningful products;
🔹 Flexibility to work remotely or from our offices;
🔹 A-team colleagues and a zero-bureaucracy culture;
🔹 Opportunities to grow, lead, and make your mark.

After you apply

We’ll keep it respectful, clear, and personal from start to offer. You’ll always know what project you’re joining – and how you can grow with us.

Everyone’s welcome

Diversity makes us better. We create a space where you can thrive as you are.

Ready to build something meaningful?

Let’s talk. Your next big adventure might just start here.

About the role

We are looking for an AI Automation & Agentic Systems Lead who will own the company's AI transformation.

This role is much broader than software development.

You will analyze how every department operates, identify bottlenecks, redesign business processes, build AI agents, automate workflows, and implement AI solutions that become part of employees' daily work.

Your responsibility is not simply writing code—your responsibility is delivering measurable business outcomes through AI.

We are looking for someone who naturally asks:

"Can this process be automated?"

instead of

"Who should do this manually?"

Your responsibilities

• Own the company's AI automation strategy.
• Analyze business processes across all departments.
• Identify opportunities for AI-driven optimization.
• Design and build production-ready AI agents.
• Create internal AI products and automation tools.
• Integrate LLMs into business workflows.
• Build Retrieval-Augmented Generation (RAG) systems using company knowledge.
• Develop multi-agent systems.
• Integrate internal and external APIs.
• Build dashboards and analytical tools.
• Automate reporting and decision-support systems.
• Design AI-first workflows for HR, Finance, Legal, Operations, Recruiting, Marketing, Customer Support, and Engineering.
• Collaborate directly with department heads to understand business needs.
• Measure the impact of automation using business metrics.
• Continuously improve and scale AI solutions.

What you'll build

Examples of projects you may own:

• AI Recruiting Assistant
• HR AI Agent
• Finance AI Assistant
• Legal Document AI
• Executive AI Dashboard
• AI Knowledge Assistant
• AI Operations Assistant
• AI Performance Review Assistant
• AI Analytics Platform
• AI Reporting Platform
• AI Employee Support Agent

Required experience

• 5+ years of software engineering experience.
• Strong Python or TypeScript.
• Experience building production AI applications.
• Experience designing and deploying AI agents.
• Experience integrating OpenAI, Anthropic, Gemini, or similar LLM APIs.
• Experience with RAG architectures.
• Experience with vector databases.
• Experience integrating REST APIs.
• Experience working with SQL and NoSQL databases.
• Experience building internal business tools.
• Experience with cloud platforms.
• Excellent communication skills.
• Strong systems thinking.
• Ability to translate business problems into technical solutions.

AI-first mindset

We are specifically looking for engineers who:

• naturally use AI in their daily work;
• think AI-first rather than process-first;
• design autonomous workflows instead of manual operations;
• build AI systems instead of simply consuming AI tools;
• look for automation opportunities before adding headcount.

We're looking for builders, not prompt users.

Must-have

Real production experience building AI Agents.

This role is not about prompt engineering alone.

You should have experience building AI systems that:

• use tools and APIs;
• maintain memory and context;
• orchestrate multiple agents;
• perform autonomous tasks;
• are used by real users in production.

Success after 3 months

• AI automation roadmap delivered.
• First production AI agents deployed.
• Multiple business workflows automated.
• Department heads actively using AI solutions.

Success after 6 months

• AI integrated into every major department.
• Internal knowledge accessible through AI.
• Company-wide AI dashboards available.

• Measurable reduction in manual work.

   

  What we offer

• Opportunity to lead the company's AI transformation.
• Freedom to select technologies and architecture.
• Direct collaboration with founders and executive management.
• High ownership and real business impact.
• Budget for AI tools and experimentation.
• Opportunity to build products used across the entire company.
• Competitive compensation.
• Flexible work environment.
• A team that believes AI should transform every business function—not just software development.

Meet the YozmaTech

YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.
We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.
Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.

Our client is looking for an AI Builder / Full-Stack Engineer to join an early-stage startup with a very small team and a high level of ownership.

The company is building an AI-native product for the janitorial industry that automates the processing of large volumes of complex documentation, including contracts and RFPs. The product analyzes this information and generates accurate, detailed bids, including pricing, equipment selection, and task breakdowns down to the room and space level.

This role is ideal for an engineer who can take an AI capability end-to-end — from designing agents and backend systems to building the product experiences through which users interact with them. You’ll work across AI/LLM engineering, backend systems, data pipelines, and full-stack product development.

Key Requirements:
🔹 Strong commercial experience with AI/LLM engineering and backend development;
🔹 Strong Python engineering skills;
🔹 Hands-on experience building AI agents, LLM workflows, or AI-native systems;
🔹 Experience designing backend services, APIs, data pipelines, and working with databases;
🔹 Ability to work with unstructured data and build systems for processing and analyzing complex information;
🔹 Experience integrating and working with LLM APIs and AI models;
🔹 Comfortable building full-stack product features and modern web UIs;
🔹 Experience with React, Next.js, and/or Node.js;
🔹 Strong understanding of system design, data modeling, debugging, and infrastructure;
🔹 Experience testing AI systems and evaluating the quality of model outputs;
🔹 Ability to take an AI capability from agent/backend logic through to a usable customer experience;
🔹 High level of ownership and ability to independently drive technical work from architecture to production;
🔹 Comfortable working through ambiguous product and technical requirements in a fast-paced startup environment;
🔹 Pragmatic approach to engineering — knowing when to build deeply and when to ship quickly;
🔹 English – Upper-Intermediate or higher.

Will be plus:
🔹 Experience working specifically with contracts, RFPs, or other complex business documentation;
🔹 Experience building UIs for managing or interacting with AI agents;
🔹 Experience with both commercial and open-source AI models;
🔹 Previous experience in the janitorial / cleaning services industry or similar domain;

What you will do:
🔹 Design and deploy agentic AI workflows, agent harnesses, and orchestration systems;
🔹 Develop and maintain the backend for AI agents that process and analyze contracts, RFPs, and other complex documents;
🔹 Build pipelines for large volumes of unstructured data, including OCR and vision-based document and image analysis;
🔹 Integrate AI tools and models, including OpenAI, Google, and open-source models, using Python;
🔹 Build AI agent orchestration using LangChain, Deep Agents, and similar frameworks;
🔹 Build backend services, APIs, data pipelines, and core infrastructure;
🔹 Own data flows across ingestion, transformation, storage, retrieval, evaluation, and application usage;
🔹 Design and maintain databases, including Postgres and MongoDB;
🔹 Build full-stack product experiences around AI capabilities, including agent interfaces, review/approval flows, and AI-assisted workflows;
🔹 Collaborate with frontend development using React, Next.js, and Node.js to integrate AI agents into the product;
🔹 Turn structured and unstructured AI outputs into polished user-facing experiences, documents, and product workflows;
🔹 Build datasets and testing approaches for AI systems and implement evaluation metrics, including LLM-as-a-judge and statistical evaluation;
🔹 Debug model behavior, pipeline failures, data quality issues, frontend/backend integration, and system performance;
🔹 Own complex technical problems end-to-end, from architecture and implementation through production;
🔹 Build reliable, scalable, and secure systems for an AI-native product;

Interview stages:
🔹 HR Interview;
🔹 Technical Interview — 30 min;
🔹 Non-technical / Culture Fit Interview — 60 min;
🔹 Deep Technical Interview — 1 hour;
🔹 Reference Check;
🔹 Offer;

Why Join Us?

At YozmaTech, we’re self-starters who grow together. Every day, we tackle real challenges for real products – and have fun doing it. We work globally, think entrepreneurially, and support each other like family. We invest in your growth and care about your voice. With us, you’ll always know what you’re working on and why it matters.
From day one, you’ll get:
🔹 Direct access to clients and meaningful products;
🔹 Flexibility to work remotely or from our offices;
🔹 A-team colleagues and a zero-bureaucracy culture;
🔹 Opportunities to grow, lead, and make your mark.

After you apply

We’ll keep it respectful, clear, and personal from start to offer.
You’ll always know what project you’re joining – and how you can grow with us.

Everyone’s welcome

Diversity makes us better. We create a space where you can thrive as you are.

Ready to build something meaningful?

Let’s talk. Your next big adventure might just start here.

We are seeking an AI Infrastructure Engineer to join our client's team, working on a backend platform within the UK insurtech space. 

Responsibilities: 

• Design and take ownership of the platform runtime, including how agents are compiled, configured, and deployed at scale 
• Build the configuration layer enabling carriers to control and iterate on product journeys without requiring code changes 
• Own the data model underlying the platform's systems and tooling, ensuring the ability to rapidly meet evolving customer requirements 
• Define the security model, encompassing PII handling, data residency, and model access controls 
• Develop self-improvement loops, including performance tracking and automated evaluation across deployments 
• Establish the observability and audit trail infrastructure necessary for a regulated insurer to operate AI at scale with confidence 

• Continuously enhance the platform's engineering practices through automated validation, robust CI pipelines, and agentic review processes 

   

Requirements: 

• At least 5+ years of demonstrated experience building substantial backend infrastructure 
• Well-formed perspectives on distributed systems, API design, and designing for auditability 
• Strong proficiency in Python and Go, with exposure to secure DevOps/CI-CD practices and observability/audit-trail implementation 
• Prior experience delivering robust systems to a large user base 
• Proficiency with LLMs and agent frameworks; prior experience shipping a production agent platform is not required, though a thorough understanding of the associated constraints is expected 
• A security-first design orientation, integrated into the design process rather than treated as a compliance checklist 
• Upper-Intermediate English proficiency or higher 

We Offer:   

• Innovation Culture: Work in a team that actively experiments with AI and modern development approaches   
• Real Product Impact: Direct collaboration with a client and influence on product decisions   
• Flexible Work: Remote work or a modern office in Kyiv   
• Generous Time Off: 20 paid vacation days + 15 sick leave days annually   
• Professional Growth: Compensation for courses, certifications, and learning resources   
• Cutting-Edge Tools: Access to premium AI tools (Cursor Pro, Сlaude Code, GitHub Copilot, etc.)  

Recruitment Process:   

1. HR Interview   
2. Technical&Final Interview  
3. Client Stage 
4. Job Offer 

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:

Our client operates a global technology-driven financial services platform that serves millions of users across multiple regions, offering access to multi-asset trading - including stocks, indices, currencies, and digital assets.

The product operates as a regulated, data-intensive financial ecosystem, processing massive volumes of transactions and real-time customer interactions daily. It’s well-funded, profitable, and known for pushing innovation in AI, automation, and data governance across its operations.

The team partners with internal business units to identify high-impact opportunities and build AI-powered solutions that automate workflows, improve efficiency, and help teams scale.

About the Role:

As an AI Product Manager, you will lead strategic AI initiatives from opportunity discovery through launch and iteration. You will work closely with internal business units to identify needs, define product priorities and roadmaps, and lead cross-functional teams in delivering scalable AI solutions.

This is a hands-on, builder-oriented role where you will use AI-assisted development tools to prototype ideas, validate assumptions quickly, and make evidence-based product decisions. You will own the full product journey — from defining KPIs and aligning stakeholders to driving adoption and continuously improving product performance in a dynamic, data-intensive environment.

Key Responsibilities:

• Own AI product initiatives end to end — from discovery and validation through delivery, launch, adoption, and continuous improvement.
• Work closely with internal business teams to understand their needs, identify high-impact opportunities, align priorities, and manage stakeholder expectations.
• Define clear product requirements, roadmaps, success metrics, and KPIs, and track product adoption, performance, and business impact.
• Build and test functional AI prototypes using AI-assisted development tools, model APIs, automation platforms, low-code tools, or lightweight code.
• Partner with engineering and other cross-functional teams to turn validated ideas into scalable, production-ready solutions, including acceptance testing before release.
• Ensure successful product adoption and continuously improve solutions based on performance, feedback, and business needs.
• Drive an AI-native approach across the product lifecycle, from research and planning to testing and decision-making.

Required Competence and Skills:

• At least 4 years of Product Management experience, with proven end-to-end ownership from idea to launch and measurable results.
• Strong experience working with business stakeholders and cross-functional technical teams, aligning priorities and managing expectations.
• Experience defining product requirements, roadmaps, KPIs, and success metrics.
• Hands-on experience building AI-powered applications, workflows, or prototypes using AI development tools and model APIs.
• Good technical understanding of APIs, system architecture, data flows, LLMs, AI agents, and RAG.
• Strong product thinking, problem-solving, prioritization, and communication skills.
• Ability to work effectively in ambiguous, fast-moving environments, with a high level of ownership and an evidence-based approach to decision-making.
• Strong stakeholder management, customer discovery, analytical thinking, prioritization, and communication skills.

Nice to Have:

• Previous software engineering or other strong technical background.  
• Experience turning prototypes or custom solutions into scalable, reusable products. 
• Experience leading cross-functional initiatives involving multiple business units, technical teams, and senior stakeholders.

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.

We are looking for an AI Integration Engineer (Python) to join our client's team on a UK insurtech project. 

Responsibilities: 

• Configure and deploy product journeys on the platform for each carrier or MGA partner 
• Build and maintain integrations with policy admin systems, quoting engines, and data feeds 
• Own data mapping and schema translation between the platform's data model and each insurer's existing architecture 
• Spot recurring patterns across deployments and turn them into platform improvements 
• Conduct technical scoping for new insurer partnerships, defining feasibility and required effort 

• Help define what a genuinely good AI insurance journey looks like in production 

   

Requirements: 

• At least 4+ years of hands-on experience with API integration and data mapping — real integration work 
• Strong Python experience, with a solid API/integration background 
• Insurance, insurtech, or closely adjacent background — a real understanding of how carriers, MGAs, and intermediaries operate 
• Day-one fluency with agentic tooling such as Claude Code, LangGraph/LangChain, or equivalent — not necessarily building pipelines from scratch, but able to hit the ground running 
• Comfortable being client-facing — equally at ease in a carrier meeting and in a terminal, sometimes in the same afternoon 
• A proactive mindset: someone who gets frustrated when a platform limits what they can deliver for a customer, and takes action to fix it 
• Upper-Intermediate English or higher 

We Offer:   

• Innovation Culture: Work in a team that actively experiments with AI and modern development approaches   
• Real Product Impact: Direct collaboration with a client and influence on product decisions   
• Flexible Work: Remote work or a modern office in Kyiv   
• Generous Time Off: 20 paid vacation days + 15 sick leave days annually   
• Professional Growth: Compensation for courses, certifications, and learning resources   
• Cutting-Edge Tools: Access to premium AI tools (Cursor Pro, Сlaude Code, GitHub Copilot, etc.)  

Recruitment Process:   

1. HR Interview   
2. Technical&Final Interview  
3. Client Stage 
4. Job Offer 

SignalsAPI turns hiring activity into buying signals. We watch 450+ sources, work out which companies are hiring for what, and find the person to contact. Recruitment agencies use it to find clients worth pitching; sales teams use it as intent data.

When someone asks an AI how to find companies that are hiring, SignalsAPI should be one of the answers. That's the job.

Hiring signals first, not "prospect intelligence" — that category already has ZoomInfo and Clay in it and we don't win it from here.

You'd get assets most people in this field never have. jobs.signalsapi.com publishes 2M+ hiring signals a month, and we run a public MCP server AI clients can query directly. Nobody has done anything with either.

What it isn't: 50 keyword articles nobody reads, AI-generated content at scale, bought backlinks, or filling a calendar someone hands you. Deciding what should exist is the job.

You're a fit if you've moved a brand's visibility in AI answers before and can show me where. You've done SEO, GEO/AEO, content or growth and think past Google rankings. You can read an AI answer and work out why one vendor got named over another. You write well in English.

Remote. I don't track hours or care where you are, only whether the number moves. You'd work directly with me — I'm the founder and the engineer.

How this works: no cover letter. Ask me for our prompt set and baseline first; I'll send both. Send a one-page pilot proposal — one result you're confident you can deliver, how long, what it costs, the plan, and a URL proving you've done it before. If it's credible: half an hour on a call, we agree the pass line in writing, and we run a paid pilot. If it lands, the work is yours. I reply within five days either way.

Description

We are looking for a Trainee Integration Engineer who will join our team and grow into an Integration Engineer specializing in Boomi, eCommerce integrations, and AI-powered solutions.

You will have an opportunity to learn Boomi, Shopify, REST APIs, webhooks, data transformation, integration patterns, and AI/LLM technologies, while working on a practical end-to-end demo rather than isolated training tasks. You will also use AI tools such as Claude to accelerate development and explore how AI can be embedded directly into integration and eCommerce scenarios.

Requirements

Basic understanding of programming concepts
Understanding of REST APIs and HTTP
Basic knowledge of JSON
Basic SQL knowledge
Familiarity with Git
Analytical and problem-solving mindset
Interest in AI and emerging technologies
Willingness to learn new technologies and experiment with new tools
Good English communication skills
Ability to work independently on small tasks and ask questions when needed

Nice to have

Experience with Java, JavaScript, C#, Python, or another programming language
Experience working with REST APIs
Basic understanding of Generative AI / LLMs
Experience with AI tools such as Claude, ChatGPT, GitHub Copilot, or similar
Basic understanding of cloud platforms
Familiarity with Shopify or another eCommerce platform
Understanding of webhooks
Any experience with integration platforms such as Boomi, MuleSoft, Workato, Zapier, or similar
Basic understanding of CI/CD

Job responsibilities

Learn the fundamentals of Boomi, AI-powered integrations, and integration architecture
Build and maintain integration flows in Boomi
Integrate Shopify with external systems using APIs and webhooks
Work with JSON/XML and transform data between different systems
Implement simple business scenarios and AI-powered use cases
Use AI tools such as Claude to accelerate development, troubleshooting, testing, and documentation
Explore and integrate AI/LLM capabilities into eCommerce and integration scenarios
Investigate integration failures and troubleshoot API/integration issues
Prepare technical documentation for implemented integrations
Collaborate with experienced engineers and the project/solution team
Gradually take ownership of individual integration components and contribute to the client-facing demo / PoC

What we offer

Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives.

Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.

DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.

Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.

Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.

Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.

Company Overview

Robots & Pencils is an applied AI engineering firm building the next frontier of business architecture. We design and ship AI co-workers that integrate into enterprise operations and deliver measurable results for our clients. We're all in on AWS, combining deep UX capability with senior engineering talent to get AI into production fast and keep it there.
We’ve earned the trust of leaders across Consumer Products and Retail, Education, Energy, Financial Services, Healthcare, and Manufacturing and more, and earned a reputation as the nimble alternative to traditional global systems integrators. Founded in 2009, with delivery centers in Canada, the United States, Eastern Europe, and Latin America, we are smaller, faster, and more senior by design. Our teams average 15+ years of experience. We move fast, sweat the details, and build things that actually ship.
 

Position Overview

We’re looking for a Principal AI Engineer to define and drive the technical direction of our AI/ML systems. This role is ideal for a deeply experienced engineer who leads from the front — shaping architecture at the system level, solving the hardest problems, and raising the bar for how AI gets built and operated across the organization.

In this role, you will work on a cross-functional team, setting AI architecture standards, leading complex system design and implementation challenges, and solving integration problems that require both deep expertise and broad systems thinking. You’ll partner closely with leadership to define the AI roadmap and make high-stakes technical decisions that shape how our AI work scales across clients and over time.

Why This Role Matters

At Robots & Pencils, we design AI systems for a human world. Our name says it all. Robots and pencils means engineering paired with creativity, because every agent we ship has to work for real people in real workflows. That balance is baked into how we operate.

Every role here contributes directly to that mission. Here, you shape how AI systems integrate into enterprise operations, how teams move at real velocity, and how products create measurable impact for clients and the people they serve. We ship production-ready AI in 30 to 45 days. That pace demands people who take ownership, lead with craft, and care deeply about what they put their name on.

What You’ll Do

Craft & Delivery

• Define AI architecture and technical strategy, and lead implementation across the full lifecycle from design through production
• Build scalable ML platforms, pipelines, and workflow orchestration that support model development and event-driven, asynchronous operations at scale
• Architect and build LLM-powered systems, including prompt engineering, function/tool calling, multi-agent orchestration, RAG patterns, vector databases, embeddings, and streaming responses
• Design and develop APIs and backend services that integrate AI capabilities with enterprise systems and third-party platforms
• Lead model development, optimization, and the path from research to production, ensuring promising approaches translate into reliable, production-ready systems
• Ensure AI reliability, security, and scalability across deployed systems, including logging, monitoring, and debugging in production environments
• Bring an AI-forward mindset to your daily work, using tools like Claude, Cursor, and other modern AI assistants to ship higher-quality work at pace

Collaboration & Communication

• Co-define the AI roadmap with leadership, operating as a peer in strategic technical conversations
• Communicate complex technical concepts clearly to engineering and non-engineering stakeholders alike, translating depth into decisions others can act on
• Engage with product, engineering, and data teams to align AI work with broader business priorities

Leadership & Influence

• Define and champion AI engineering standards that shape how the organization builds and operates AI systems
• Mentor across the organization, shaping engineering culture and developing the next generation of technical leaders
• Own high-stakes architectural decisions that carry significant organizational and cross-engagement weight
• Drive technical vision — defining not just what gets built, but how AI engineering evolves at R&P over time

What You’ll Bring

• 9+ years of professional software engineering experience, with 5+ years focused on AI/ML systems in production and deep, hands-on expertise with generative AI development
• Expert software engineering background (Python or similar) with strong design sensibilities for distributed, scalable, and maintainable systems
• Deep experience designing distributed systems and event-driven architectures that underpin production AI workloads
• Deep expertise with cloud platforms, with mastery of AWS services and AWS GenAI offerings
• Proven track record architecting and shipping complex agentic systems in production across multiple teams or engagements
• Mastery of AI frameworks and orchestration tools, with clear judgment on when to adopt versus build
• Deep experience with evaluation frameworks and observability tools for LLM apps, including establishing these practices where they don't yet exist
• Deep expertise in AI safety, responsible AI principles, prompt injection defenses, PII handling, and AI governance and compliance in production
• Extensive experience designing RAG architectures: chunking strategies, embedding models, vector databases, and advanced retrieval techniques
• API and systems design experience, including architecting and integrating with internal and third-party services at scale
• Advanced cost optimization expertise: token economics, caching strategies, model routing, quantization
• Strong working knowledge of Docker, Kubernetes, and cloud-native AI architecture patterns
• Expertise in MLOps and AI infrastructure, including model versioning, monitoring, deployment automation, and reproducibility
• Demonstrable, day-to-day usage and expert command of AI-forward coding tools such as Claude Code and Cursor
• Track record of technical leadership and mentoring at an organizational level, with influence that extends beyond the immediate team
• Excellent problem-solving and stakeholder communication skills, with the ability to navigate the most ambiguous technical and business challenges with sound judgment

You’ll Do Well Here if You Are

• A doer. You see something broken and fix it. You'd rather move on clarity than wait for certainty.
• A fast learner who knows you don't know everything. The AI landscape changes weekly. You're senior enough to know better and curious enough to keep learning anyway.
• Direct in a way that makes the work better. You give honest feedback. You'd rather have the hard conversation than blow smoke.
• Obsessed with craft. You know genius is in the details. You ship exceptional, not perfect, and you don't put your name on work you wouldn't stand behind.
• Built for ownership. You honor commitments, admit mistakes fast, and back your teammates when a decision costs something. No handoffs, no finger-pointing.
• All in. You treat clients' businesses like your own. You take the work seriously without taking yourself seriously.
• Resourceful when the budget, timeline, or team is tight. Constraints don't slow you down. They sharpen you.
• Glad to be in the room with people who care as much as you do. Our teams average fifteen-plus years of experience. We hire people who push each other to do better work.

We Offer

• 20 days of paid vacation.
• 15 days of unpaid vacation.
• All official public holidays off.
• 5 paid sick days without a doctor's certificate.
• Medical insurance.
• Military draft deferment (reservation) support.
• Cooperation under a gig-contract.

Headway Inc is a global tech company, revolutionizing lifelong learning by creating digital products for over 170 million users worldwide. Our mission is to help people grow. We’re proud to be ranked 4th among the World’s Top EdTech Сompanies by TIME magazine. We believe lifelong learning should be accessible, personalized, and impactful to each individual. That’s how we change the world and why we bring together exceptional minds.

The core of our achievements is our team. We believe in people and shared values SELECT. That’s why, together with Alona Sharai, Head of Support at Headway Inc, we’re looking for a Support Agent to help build scalable AI-powered support while influencing product decisions.
 

The team you'll be working with

Support works with almost every product at Headway Inc, in close contact with Product, Engineering, and Payments. Automation handles the routine. What reaches you is what it couldn't: refunds where the right call isn't obvious, users who've already had an answer and still don't have a solution.
 

How you grow here

Once your work on tickets is stable, you start taking on more alongside it – automations, analytics, knowledge base, the hardest cases – and eventually go deep in whichever direction fits you. The opportunities are there. Which ones you take, and when, is your call.
 

Why this is exciting

• Support here is being rebuilt, not maintained. Automation is already in production and carrying live volume. You'll be working with that system, and on it, as the agent role keeps shifting toward quality and analysis.
• Room to build instead of repeat. When volume allows, that time goes to learning and projects.
• A team that values proactivity, systemic thinking, and openness to feedback.
   

This role is your calling if you

• Take a problem to the end instead of handing it over, even when the end is three teams away.
• Ask why a flow exists, and notice when the answer doesn't hold up.
• Talk in outcomes: what you changed, why it mattered, how you know it worked.
• Pick up new tools fast and are comfortable around technology, AI included.
• Keep working well when priorities and processes move under you.
• Want feedback and aren't afraid to challenge the status quo.
• See support as a business function.
• Have some experience in support or another user-facing role. Mindset counts more than years.
• Communicate confidently in English (Upper-Intermediate and higher).
   

What you’ll do

• Handle complex user cases that require empathy and deep product understanding rather than templated responses.
• Work in synergy with AI tools: monitor response quality and continuously improve automation.
• Audit and improve support processes: identify inefficiencies and initiate scalable solutions.
• Act as a bridge between users and the product team by surfacing insights and recurring issues.
• Proactively detect anomalies or spikes in user requests and help mitigate risks early.
• Grow into the work behind the tickets – automations, analytics, and the knowledge base other agents rely on
   

What to know going in

• Day-to-day, this is agent work. User requests are the core of the job, and the automation and process side grows out of that rather than replacing it.
   

What do we offer

• Work within an ambitious team on a socially impactful education product.
• An office with a reliable shelter, generators, satellite internet, and other amenities.
• Access to our corporate knowledge base and professional communities.
• Personal development plan.
• Compensation for English language learning, external training, and courses.
• Medical insurance and full sick leave compensation.
• Sports activities: running, yoga, boxing, and more.
• Corporate holidays: we go on a week-paid holiday to rest and recharge twice a year.
• Supporting initiatives that help Ukraine. 
   

Working schedule

This is a full-time position with a hybrid remote option. It means that you can decide for yourself: whether you want to work from the office, remotely, or combine these options.

Support works in shifts: 8 hours a day, either Sunday to Thursday or Tuesday to Saturday.
 

Hiring process for this role
Screening call, interview with a team, reference check, bar-raising.

Are you interested? Send your CV!