Vibe-coder / AI-кодер (Claude, Cursor)

Description

Nebius Academy is an educational platform that helps experienced software developers stay at the forefront of technological innovation. We create specialized courses that teach professionals how to effectively use AI tools in real-world development workflows (AI Assited Programming).

Our programs are designed to help engineers critically and productively apply artificial intelligence in their professional work, improving code quality, development speed, and overall work efficiency.

Our mission is to provide engineers with access to cutting-edge knowledge in AI-assisted development and help them become leaders in the new era of programming.

Who are we looking for?

We are building a talent pool of experienced developers and technical experts for ongoing roles as Instructors, Authors, and Subject Matter Experts in our AI-assisted programming educational program.

We are looking for specialists across the following languages and platforms: Golang, Kotlin, Swift, C++, Mobile Development (Android / iOS), and other languages.

A strong candidate doesn't just know their language deeply — they actively use AI-assisted development tools in their daily workflow. We prioritize hands-on experience with tools such as Cursor, Claude Code, GitHub Copilot, or similar AI coding assistants. The ability to teach others how to integrate these tools effectively into real development work is what sets our instructors apart.

These are Talent Pool positions — we continuously review applications and build our roster of experts. This means there may not be an immediate opening at the time you apply, but strong candidates will be added to our talent pool and contacted as relevant opportunities arise.

You can join us on a part-time basis, contributing as an instructor leading live sessions and workshops, as a course author creating learning materials, or as a subject matter expert supporting curriculum development.

Apply now — we review applications on an ongoing basis. Our selection process is fully asynchronous and designed to respect your time:

1. Application Review — we evaluate your profile against our current needs
2. Async Video Interview — a short self-recorded interview (10–15 minutes max)
3. Test Assignment — approximately 1 hour to complete
4. Talent Pool — finalists are added to our active roster of vetted experts
5. Hiring Manager & Tech Expert Call — once a relevant position opens, we invite you to a live interview with our team
6. Offer - We extend offer to you for a relevant position, upon the recruitment process is successfull

Please submit your resume in English.

What you will do

Available Roles

We are building a talent pool of Instructors, Authors, and Subject Matter Experts for our AI-assisted programming educational programs. We hire on an ongoing basis across the following specializations:

Most in demand: Golang, Kotlin, Swift, C++, Mobile Development (Android / iOS) Also relevant: other languages and technical domains

Depending on your expertise, you may:

• Deliver live workshops and training sessions
• Create educational content, assessments, and project-based learning materials
• Design practical exercises, guides, prompts, and reference resources
• Help define curriculum structure, learning objectives, and competency frameworks
• Review content for technical accuracy and industry relevance
• Share insights on AI tools, workflows, and emerging trends
• Collaborate with instructional designers and curriculum teams to continuously improve learning outcomes
• Support program updates based on learner feedback and market needs

Areas of involvement

• Instructor — leads live sessions, workshops, and learner interactions.
• Author — creates course content, lessons, assessments, and projects.
• Subject Matter Expert — shapes curriculum strategy, competency frameworks, and program direction.

⌛ All roles are part-time: 10–15 hours per week.

Requirements

• 5+ years of experience in software engineering or a related technical field
• Strong proficiency in one or more of the following: Golang, Kotlin, Swift, C++, Android, iOS
• Hands-on experience with AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, or similar
• Strong ability to share knowledge through content creation, training, mentoring, or facilitation, making complex technical concepts clear, practical, and engaging for learners
• Ability to work independently with strong ownership and minimal supervision
• Availability to collaborate within European time zones
• Ability to dedicate approximately 10–15 hours per week
• Fluent English (written and spoken); Russian or Spanish is a strong plus
• Background in developer advocacy, tech leadership, mentoring, conference speaking, or technical community engagement is a plus

Nice-to-have

• Strong expertise in Software Engineering, AI Engineering, Machine Learning, or Data Science
• Ability to evaluate real-world AI/LLM applications, architectures, and workflows
• Experience creating competency maps, skill frameworks, learning roadmaps, or curriculum structures
• Ability to review technical learning content and provide structured feedback

What we can offer you

• The opportunity to teach while maintaining your primary job: Share your expertise without leaving your current role.
• Competitive hourly rate of $40-$85 USD for flexible part-time collaboration with significant impact and an amazing team!
• Remote cooperation with a schedule convenient for both you and the team: We don't focus on micromanagement.
• Cross-cultural experience: Become part of an international team and connect with professional developers from diverse backgrounds.
• Meaningful impact: Share your knowledge and help experienced engineers advance their skills in AI-assisted development.
• Participation in innovative projects: Contribute to shaping the future of programming education and AI adoption.
• Professional growth: Receive feedback and develop your skills as a technical educator and thought leader.

About TaxDome

At TaxDome, we’re building the #1 practice management platform for accounting firms in the US and globally. Founded in 2017, we’ve grown into a 400+ fully remote team across 40+ countries, serving tens of thousands of businesses worldwide with millions of end clients.

How we work

You’ll be part of a globally distributed team built on trust, ownership, and self-management.
We focus on outcomes over activity — prioritizing clear ownership, pragmatic decision-making, and accountability for results over rigid processes. Collaboration is central to how we operate: we communicate openly, involve the right people early, and continuously improve how we build products and teams together.

About this role

We're looking for a Senior AI Engineer to help us scale faster by designing and running production AI services - RAG-powered assistants, MCP servers, AI agents - and building smart automations for our teams. You'll choose the right tool for each problem, from Python services to low-code platforms like n8n, designing solutions that save time and boost efficiency.
This is a hands-on senior role: you'll own solutions end to end - from scoping a business problem and choosing the architecture, to building and integrating it, to shipping it securely and operating it. The role is as much about engineering judgment - deciding what to build, why, and with which trade-offs - as about building itself.
It's a fully remote role, we are hiring across the EU, with a preference for candidates working within CET (±3 hours).

What you’ll be responsible for

• Lead discussions on business challenges and propose solutions using LLMs, AI agents, custom services, or low-code tools - whichever fits best.
• Make and document architecture and tooling decisions: code vs low-code, build vs buy, model selection - with explicit cost, latency, security, and maintainability trade-offs.
• Design, build, and operate production Python services - including our retrieval-grounded assistant with RAG, database, auth, and CI.
• Build and tune RAG pipelines: embeddings, vector search, and retrieval quality evaluation.
• Design, build, and maintain MCP (Model Context Protocol) servers that connect internal tools, data sources, and APIs to LLMs and AI agents.
• Design, configure, and maintain AI agents for internal projects - including tool-calling, orchestration, and multi-step agentic workflows.
• Build and maintain automations in n8n.
• Design, test, and optimize prompts and multi-step prompt chains, including systematic evaluation (evals) of prompt and pipeline quality.
• Optimize cost and performance of AI workloads: caching, latency profiling, choosing the right model per task, token budgeting, basic load testing.
• Use AI coding agents as a primary implementation tool: decompose problems into well-specified tasks, review and validate generated code, and keep the bar on tests, security, and maintainability.
• Integrate external and internal services through REST APIs, webhooks, and OAuth flows.
• Build internal MVP tools on top of generative models to validate business hypotheses.
• Research, evaluate, and implement new automation and AI tools; run pilot projects with generative models.
• Maintain a structured prompt and workflow library, and document solutions for maintainability and handoff.
• Apply sound data-handling and security practices when working with internal systems, customer data, and credentials.
• Collaborate cross-functionally to understand needs and deliver impactful, reliable solutions.

Example project: building a feedback hub that collects and processes user feedback from multiple sources (CRM, surveys, forums, call recordings) into a single dashboard.

What you bring

Must-have

• 5+ years in IT overall, including 2+ years hands-on building applications, agents, and automations on top of LLMs - applying generative AI to real products and business tasks — and demonstrated seniority owning solutions end to end.
• Python - solid backend engineering: designing services, working with databases and APIs, writing tests, comfortable with Git, containers, and CI/CD. Not just scripting or extending existing automations.
• Hands-on experience with RAG and retrieval: embeddings, vector databases, tuning retrieval quality.
• Databases: SQL (Postgres) and key-value (Redis); familiarity with vector search (pgvector or similar).
• Experience building and operating AI agents and agentic workflows (tool-calling, orchestration); solid understanding of LLM principles, AI workflow design, and multi-step prompt chains.
• Demonstrated ability to justify technical decisions and reason about trade-offs (cost, latency, security, complexity) - not just implement what's asked.
• Experience with AI-assisted development workflows (Claude Code or similar); able to stay accountable for the quality of agent-generated code.
• Sound data-handling and security awareness (credentials, tokens, PII, access scopes).
• Self-driven, curious, and proactive in experimenting with new tools and technologies.
• English - Fluent: able to lead professional communication, handle correspondence, and participate fully in work meetings in English.

Nice-to-have

• Experience designing and building MCP servers (otherwise we expect a fast ramp on MCP).
• Experience with workflow automation platforms (n8n, Make, or similar).
• Experience integrating OpenAI, Anthropic, or other AI APIs.
• Experience integrating third-party services (Jira, Slack, Google, HubSpot, etc.) via REST APIs, webhooks, and OAuth flows.
• Experience with LLM observability and eval tooling (Langfuse, promptfoo, or similar).
• Experience running services on managed container PaaS platforms.
• Background in text/data processing.
• Experience with Google Workspace API, Slack API, CRM systems.
• Familiarity with data/security governance frameworks relevant to internal tooling.

What Success Looks Like

• First 90 days: ramp on our stack (n8n, Python services, Postgres/pgvector, Redis, our PaaS), ship one meaningful automation or AI tool into production, document it, and make at least one documented architecture decision (e.g., code vs low-code for a real task).
• First 6-12 months: own a portfolio of live automations, agents, and MCP integrations; establish reusable patterns and a well-maintained prompt/workflow library; measurably reduce manual effort across the teams you support and demonstrably optimize the cost/latency of at least one AI workload.

What we offer

At TaxDome, we aim to create an environment where people can do their best work and grow alongside the company.

• Competitive compensation, paid in USD, transparently shared before the first interview 
• Performance-based internal incentive plan
• Fully remote work with flexible hours
• 30 paid days off annually, plus sick days as needed
• Health & well-being support
• Learning & development budget to support your professional growth
• English lessons reimbursement
• Co-working space reimbursement
• Company-provided equipment (conditions may vary depending on the role)
• A high level of autonomy and ownership in your work
• The opportunity to make a real impact in a fast-growing global SaaS company
• A collaborative, international team with a strong product mindset

Upon successful completion of the interview process and acceptance of the offer to join, an employment verification check will be conducted as part of pre-boarding — confirming job titles and dates of engagement with 2 of your previous employers. This is a required step for all new joiners.
If you’re excited about this opportunity and believe you could make an impact at TaxDome, we’d love to hear from you!

By applying, you acknowledge that your personal data will be processed in accordance with TaxDome’s Privacy Notice.

Description

We are looking for an AI Engineering Architect to own the internal AI tooling and infrastructure that accelerates product development - agentic coding, evals, automation of engineering workflows.

Key responsibilities

• Build and own the AI tooling stack for engineering: agentic coding workflows, evals, permission rules, AI-assisted code review, testing, and deployment automation
• Drive and be accountable for the 5x development acceleration target
• Identify and remove the biggest AI-addressable bottlenecks in the engineering workflow, in partnership with Engineering leadership
• Make and own model/provider selection decisions for engineering tooling (which LLMs, which infra, build vs buy)
• Continuously evaluate and roll out new AI-assisted development practices as the tooling landscape evolves
• Set up evals/benchmarks to measure whether AI tooling is actually improving velocity (not just adopted)

Requirements

• Strong hands-on experience building AI/LLM-powered developer tooling in production (agentic coding, RAG, evals)
• Track record of measurably improving engineering velocity through tooling — not just introducing tools, but proving impact
• Deep familiarity with modern software delivery (CI/CD, code review practices, testing) to know where AI actually helps vs adds noise
• Able to make and defend technical infra decisions (model/provider selection, build vs buy)
• Comfortable working directly with engineering leadership and individual contributors
• Prior experience as a platform engineer, DevEx lead, or AI/ML infra engineer
• Experience with agentic coding tools (Claude Code, Cursor, similar) at scale in an org
• Background in eval/benchmark design for measuring tool impact

Benefits

Creativity every day: Make inspiring products for musicians, artists and creators – no day is the same.

Impactful work Influence the future of the music industry and change the lives of millions worldwide.

Work set up: We’ll make sure you’re set up for success with the right work equipment, whether that’s company-provided hardware or an equipment allowance.

Growth and development: Receive specialized training, language lessons, conferences and learning materials.

Team well-being: Support for your mental health and wellbeing, including confidential help during life’s tougher moments.