Jobs AI

EXITEK is looking for a creative and tech-savvy AI Content Creator & Manager to help us scale high-performing visual content for social media and paid advertising. You will work at the intersection of creativity, marketing, and generative AI to produce and manage engaging visual assets for platforms like Meta and TikTok.

About the Role

This role focuses on creating, refining, and managing visual content using modern AI generative tools. You will be responsible for producing ad creatives, experimenting with new content ideas, and helping the marketing team rapidly test and scale winning concepts.

Responsibilities

• Generate high-quality images and visual assets using AI tools (Midjourney, Stable Diffusion, DALL·E, etc.)
• Create and iterate ad creatives for Meta Ads, TikTok Ads, and other social platforms
• Retouch, enhance, and adapt generated content using tools like Photoshop or similar
• Research and source content ideas, trends, and creative directions
• Collaborate with marketing and user acquisition teams to test and scale creative concepts
• Organize and manage a library of generated assets and prompts
• Continuously experiment with new AI tools, workflows, and automation techniques

Requirements

• Experience using generative AI tools for image creation
• Strong visual taste and understanding of social media content and advertising creatives
• Basic photo editing and retouching skills (Photoshop, Lightroom, or similar)
• Understanding of social media trends, especially TikTok and Meta platforms
• Ability to quickly iterate and produce multiple creative variations
• Strong organizational and communication skills

Nice to Have

• Experience creating performance marketing creatives
• Familiarity with video AI tools (Runway, Pika, etc.)
• Experience working with marketing or user acquisition teams
• Prompt engineering and workflow automation experience

Responsibilities:
• Work closely with different departments (Marketing, Sales, HR, Finance, etc.) to understand their workflows and identify opportunities to improve efficiency using AI tools.
• Analyze existing processes and propose automation or AI-assisted solutions.
• Implement AI-powered automations using available tools (LLMs, workflow automation platforms, data tools, etc.).
• Build and maintain internal AI workflows, prompts, and integrations.
• Train and support team members in using AI tools in their daily work.
• Monitor performance of implemented automations and continuously improve them.
• Document AI workflows, best practices, and internal guidelines.

Requirements:
• Strong curiosity about AI and automation and motivation to continuously learn.
• Basic understanding of AI tools (e.g. LLMs, automation platforms, data tools) and how they can be applied in business processes.
• Analytical mindset and ability to break down workflows and identify inefficiencies.
• Basic technical skills (e.g. working with APIs, automation tools, spreadsheets, or scripting is a plus).
• Experience in operations, data analysis, product, or technical roles is a plus.
• Ability to communicate with both technical and non-technical teams.
• Problem-solving mindset and willingness to experiment with new tools.
• Self-driven and proactive approach to identifying improvement opportunities.

Nice to Have:

• Experience with automation tools (Zapier, Make, n8n, etc.).
• Experience with prompt engineering and LLM-based workflows.
• Basic knowledge of Python, SQL, or data analysis.
• Experience implementing internal tools or process improvements.

We offer:
• Convenient work schedule (8/9/10/11 — 17/18/19/20);
• 21 working days of vacation;
• 10 working days of sick leave;
• Extra days off for birthday, wedding, etc and for public holidays;
• Payment for training;
• Financial and intangible gifts from the company;
• Free communication, the ability to influence processes and implement your ideas;
• Comfortable and easy management, no tyranny.

How We Hire:
We’re not here to make you jump through flaming hoops (unless that’s your hobby — in which case, we’ll cheer you on). Our goal is to see if we’re a good match for each other — and to make sure you enjoy the ride.

1. Pre-Screen Call — 30 min
A quick hello with one of our recruiters. We’ll talk about your background, your goals, and what you’re looking for. In return, we’ll tell you more about ABXplay, the role, the team, and answer any burning questions.
2. Hard Skills Interview — 30–60 min
You’ll meet your potential manager. We’ll dive into the real stuff — your future responsibilities, the challenges ahead, and the kind of work you’d actually be doing (no mystery here).
3. The Offer Stage

We are looking for a Product / Growth Product Manager to help scale and optimize a user acquisition product in the medical lead generation space.

We operate a performance-driven acquisition platform in the medical industry, where user quality, trust and long-term conversion metrics matter more than raw lead volume.

We are looking for someone who has experience working with:

• lead generation products in regulated or high-trust industries

• funnel optimization beyond simple CPL metrics

• user qualification and intent-driven flows

• conversion systems where sales happen with delayed feedback loops
 

What you’ll work on

• Analyze and optimize funnel performance across different stages
• Improve user flows, conversion paths, and drop-off points
• Build and validate hypotheses / A/B tests
• Work closely with marketing, tech, and legal/compliance stakeholders
• Create structured technical requirements for development
• Improve CRM logic, statuses, attribution, and tracking flows
• Develop AI-assisted and automation workflows
• Optimize first-touch and lead processing logic
• Analyze user behavior using analytics and behavioral tools
   

We’re looking for someone who has

• Experience in Product / Growth roles
• Experience with complex or compliance-heavy industries
• Strong understanding of funnel analytics and user behavior
• Understanding of:
  workflows, hooks, integrations, attribution, automation logic
• Ability to work in fast-moving and evolving environments
• Experience working with technical teams and integrations
• Ability to create clear and structured technical requirements

Nice to have

• Experience with B2C funnels
• Experience in regulated environments
   

What we offer

• Competitive salary in USD with regular reviews and clear KPI settings
• Ability to see the direct impact of your work on business success
• Transparent communication about company achievements and goals
• Compensation for training, courses, and attendance at professional events worldwide
• 24 days of paid vacation and 15 days of fully paid sick leave
• Support from the HR team for a smooth adaptation process
• Fully remote work format
• Corporate events for communication and relaxation
   

Hiring process

• CV screening
• HR interview
• Technical interview
• Offer

We’re focusing on:

• Complex document processing pipelines
• Knowledge retrieval systems powered by LLMs and RAG
• Building production-ready GenAI solutions with real business value

I’m open to candidates of different experience levels — what matters most is strong problem-solving skills, curiosity, and hands-on experience.

You should have:

• Solid understanding of machine learning and NLP algorithms
• Practical knowledge of how LLMs and Retrieval-Augmented Generation (RAG) work

• Previous experience with real-life AI/ML projects (commercial) - at least 1 year

   

Launch Labs is an IT company focused on web and application development. We help clients turn product ideas into working solutions and support them throughout the development process. Our team has worked with well-known brands such as Nike and Rapid Replay(acquired by NBC).

We’re looking for a Mid/Sr. Product Designer for the leading player development product in baseball - trusted by athletes from high school through MLB, with a following of over one million and a decade of coaching expertise behind it. The mission is to give baseball players the information and resources to reach their athletic potential.

What you'll do

• Own UI/UX across the product - from early concepts to polished, production-ready screens
  • leverage AI prototyping tools (Lovable, Figma Make, Claude, v0, and similar) to move fast and validate ideas early
• Contribute to product design that converts and communicates clearly
• Translate business goals and user needs into product experiences that feel intuitive and on-brand
• Build and maintain a strong design system that keeps the work organized, consistent, and scalable
• Collaborate closely with product managers, engineers, and stakeholders to align design vision with product goals
• Conduct design reviews during delivery and post-release to identify what's working and what isn't
• Work with and help manage other designers on the team as it grows

What we're looking for

• Must-haves
  • A portfolio demonstrating best-in-class UI/UX work - strong visual craft backed by clear product thinking
  • Proven experience building and maintaining design systems in a real product environment
  • Experience working with established brands where consistency and quality standards are non-negotiable
  • Hands-on use of AI prototyping tools in a real product workflow - we want to see how you actually use them
  • Ownership mentality - you notice gaps, you bring ideas, you follow through
• Nice to have
  • Experience in sports, fitness, or performance-focused products
  • Comfort designing for both app and web
  • Experience in a fast-scaling startup or content-driven product

How you work

You don't wait to be told what to design next. You understand the user, the business, and the brand - and you bring ideas that make the product better. You're opinionated, collaborative, and care more about shipping great work than protecting your drafts.

We are looking for a strong Computer Vision and Geospatial AI engineer to work on an AI product in the defence tech domain. The project is long-term and technically challenging

Responsibilities

• Development and optimization of the Computer Vision pipeline
• Working with video streams and processing low-quality video input
• Implementation of cross-view feature matching and image retrieval
• Building and indexing a georeferenced tile database
• Object georeferencing and spatial analytics
• Optimization of inference latency and performance
• Participation in system architecture design

Requirements

Must-have

• 4+ years of experience in Computer Vision / Deep Learning
• Hands-on experience with geo-localisation, place recognition, or image retrieval
• Feature extraction with foundation models: DINOv2, CLIP, or equivalent
• Keypoint detection and matching: LightGlue, LoFTR, DISK, SuperPoint
• Contrastive / metric learning: InfoNCE, triplet loss, hard negative mining
• Homography estimation and geometric verification
• Experience with satellite imagery and geospatial data
• Coordinate systems, tile indexing, GDAL
• Vector search: FAISS or other ANN libraries
• Python, PyTorch at production level
• Experience with video pipelines
• Linux, Docker

Nice to have

• PhD in Computer Vision, Photogrammetry, Remote Sensing, Geomatics, or Robotics
• Publications in cross-view localisation, visual SLAM, or UAV navigation
• Experience with degraded or compressed video
• TensorRT, ONNX, edge deployment
• CUDA
• Background in defence, aerospace, or robotics

We are looking for someone who

• Can work not only with ML models but also with production systems
• Can independently build a pipeline and make technical decisions
• Has a practical engineering mindset
• Reads and implements recent research papers
• Understands performance bottlenecks

Tech stack

Python, PyTorch, DINOv2, CLIP, LightGlue, LoFTR, FAISS, GDAL, FFmpeg, Docker, Linux

Work format

• Remote
• Full-time or B2B contract
• Long-term project
• Competitive salary, discussed individually

Domain experience is a plus

• Defence tech
• Drone systems
• Satellite imagery / Remote sensing
• Visual geo-localisation
• ISR / geospatial analytics

We are looking for a strong Computer Vision and Geospatial AI engineer to work on an AI product in the defense tech domain. The project is long-term and technically challenging

Responsibilities

• Development and optimization of the Computer Vision pipeline
• Working with video streams and processing low-quality video input
• Implementation of cross-view feature matching and image retrieval
• Building and indexing a georeferenced tile database
• Object georeferencing and spatial analytics
• Optimization of inference latency and performance
• Participation in system architecture design

Requirements

Must-have

• 4+ years of experience in Computer Vision / Deep Learning
• Hands-on experience with geo-localisation, place recognition, or image retrieval
• Feature extraction with foundation models: DINOv2, CLIP, or equivalent
• Keypoint detection and matching: LightGlue, LoFTR, DISK, SuperPoint
• Contrastive / metric learning: InfoNCE, triplet loss, hard negative mining
• Homography estimation and geometric verification
• Experience with satellite imagery and geospatial data
• Coordinate systems, tile indexing, GDAL
• Vector search: FAISS or other ANN libraries
• Python, PyTorch at production level
• Experience with video pipelines
• Linux, Docker

Nice to have

• PhD in Computer Vision, Photogrammetry, Remote Sensing, Geomatics, or Robotics
• Publications in cross-view localisation, visual SLAM, or UAV navigation
• Experience with degraded or compressed video
• TensorRT, ONNX, edge deployment
• CUDA
• Background in defense, aerospace, or robotics

We are looking for someone who

• Can work not only with ML models but also with production systems
• Can independently build a pipeline and make technical decisions
• Has a practical engineering mindset
• Reads and implements recent research papers
• Understands performance bottlenecks

Tech stack

Python, PyTorch, DINOv2, CLIP, LightGlue, LoFTR, FAISS, GDAL, FFmpeg, Docker, Linux

Work format

• Remote
• Full-time or B2B contract
• Long-term project
• Competitive salary, discussed individually

Domain experience is a plus

• Defense tech
• Drone systems
• Satellite imagery / Remote sensing
• Visual geo-localisation
• ISR / geospatial analytics

Are you looking for a rare opportunity to join a startup at a very early stage? This is it. You will be the first!

We are growing 2x month over month for the last 3 months.

We already have customers like: SoundHound, Glovo, and Ideals. And yes, we launched just 4 months ago.

You’ll have plenty to do. It will be hard and will require real dedication - but it will also give you: 
1/ Disproportionate outcomes in $ in the future
2/ Tremendous personal growth tomorrow
3/ Freedom and full responsibility now (I’m pretty sure these are the things you’re currently missing)

— What You’ll Do —

- Autonomously architect, prototype, & build the product from the ground up
- Develop integrations with AI (e.g. Perplexity, OpenAI) & 3rd party API (e.g. CRMs)
- Leverage your prompt engineering skills to maximize the outcome
- Horizontally work with founders in discussions on business & product topics

— What You'll Need —
- 1+ years of experience in a startup previously - the must 

- Authentic obsession with giving customers the best
- The best verbal communication skills (yes, better than the founder)
- RAG & AI agents development and prompt engineering
- API development and integration
- Database design and optimization (SQL)
- Development in cloud infrastructure (AWS/GCP/Azure)
- Patterns for asynchronous task processing (RabbitMQ, SQS, or similar)
- Experience with n8n will be a great plus

— What We Give For You —

- Founding member equity %% (equal to $50,000+ which will be $500,000 next year)
- Learning how a startup grows
- Direct impact on product and company strategy
- Deliver value directly to paying B2B clients
- Opportunity to build and lead a team and department
- The most modern toolset (yes, we use Cursor in Agent mode)
- Adding more perks (including a healthcare package) with the next round/revenue ramp-up
 

— About Execue in Action — 
You can see how one of the agents (outreach; we also have recruitment agent) works on this video: https://www.loom.com/share/abc9ed9e86d84e3cb15c4142550ccb01
 

Avanquest is the software publishing subsidiary of Claranova, a French group of innovative technological solutions, established in many countries, with revenues exceeding $500 million. At Avanquest, we create reliable and intuitive software solutions that satisfy our customers through 3 key product types: PDF software, photo editing software (Inpixio), and utility software to improve PC performance and security. Mainly offered as Software as a Service (SaaS), our products are sold in more than 150 countries and are translated into more than 15 languages worldwide.

Avanquest is:

• a multicultural collaborative group;
• an ambitious company in rapid development;
• a place where each Talent has its place to contribute its know-how and have a real impact on large-scale projects;
• an environment where productive initiatives are always recognized at their true value.

Visit our website : www.avanquestgroup.com

Job details :

We’re building AI deeply into our product stack — from open-source model serving to the interfaces our users interact with every day. As an AI Integration Engineer, you’ll own three interconnected layers: a model-serving REST API, AI-powered web app features, and the orchestration backbone of our document processing platform. This is a high-ownership, full-stack role for an engineer who wants to ship real AI systems, not just call third-party APIs.

(Only for candidates who are currently in Poland)

Model Serving & REST API

Deploy open-source LLMs and expose them through a versioned, production-grade API.

Web App Integration

Embed AI capabilities into our web interfaces — streaming UX, real-time features, and AI-powered components.

Document Processing Orchestration

Build the processing pipelines that extract, classify, transform, and act on documents at scale.

Key Responsibilities :

Model Serving & API

• Evaluate and deploy open-source LLMs via vLLM, Ollama, or TGI on GPU infrastructure;
• Design and maintain a REST API with auth, rate limiting, versioning, and API documentation;
• Optimize inference: quantization, batching, and concurrency tuning for latency/cost trade-offs;
• Own observability — latency, throughput, GPU utilization, and cost-per-call dashboards.

Web App Integration

• Integrate AI features into our web apps and document processing platforms;
• Build AI-powered UI components: chat interfaces, inline suggestions, smart search, and summarization widgets;
• Collaborate with frontend engineers on UX patterns specific to async and streaming AI responses;
• Manage API keys, usage metering, and per-user AI feature flags on the client layer.

Document Orchestration

• Design multi-step orchestration pipelines for document ingestion, parsing, classification, and extraction;
• Integrate OCR, layout detection, and chunking strategies for PDFs, Word docs, spreadsheets, and scanned images;
• Build RAG pipelines with hybrid retrieval (dense + sparse) over document corpora;
• Design and optimize prompts for extraction, summarization, classification, and conversational AI workflows;
• Implement task queues and async workers to handle high-volume document processing reliably.

Platform & Collaboration

• Define evals and quality benchmarks for extraction accuracy, classification, and generation quality;
• Write technical docs, so the platform is maintainable by the whole team and accessible for technology partners;
• Partner with product, data science, and DevOps/MLOps to ship AI features reliably and at scale;
• Stay current on the open-source model ecosystem and advise on model selection and upgrades.

Requirements:

• 3+ years of software engineering experience spanning backend, API design, and web technologies;
• Proven experience deploying or integrating LLMs in production — open-source model experience strongly preferred;
• Hands-on knowledge of REST API design principles and at least one API framework;
• Experience building or integrating AI features in a web app, including streaming/async response handling;
• Familiarity with document processing workflows — parsing, OCR, extraction, or classification at scale;
• Comfort designing multi-step orchestration pipelines with task queues, retries, and failure handling;
• Strong communication skills; able to reason about trade-offs across latency, cost, and accuracy with stakeholders.

What we offer:

• A fair compensation for your value;
• Bonus program, paid vacation leave and competitive corporate benefits;
• We are committed to maximizing your potential and ensuring your professional development.
• Interaction with local and international teams;
• A friendly and collaborative work environment, where authenticity and well-being are a priority.

WeSoftYou is a top 1% outsourced software development company. We build custom products for EdTech, FinTech, AI/ML, and Web3 clients — from early-stage startups (ProUnitas, Living Security) to Fortune-500 brands (Miami Dolphins, Formula 1).

About the Role

You’ll be the first marketer at WeSoftYou. Full ownership of the inbound funnel end-to-end: from ICP research to a qualified lead in Pipedrive in close collaboration with the Sales Manager and Lead Generation Specialists.

Responsibilities:

1. ICP Research & Positioning

• Profile target ICP across EdTech, AI/ML, Web3/Enterprise — roles, JTBDs, triggers, watering holes;
• Run 5–10 customer and lost-deal interviews, extract reusable insights;
• Sharpen WSY positioning per vertical — beyond a generic “outsourcing” narrative.

2. Content Engine (AI-Augmented)

• Build editorial calendar: 1 pillar + 3-4 supporting pieces per month;
• Author articles, case studies, lead magnets, sales decks;
• Repurpose each pillar into 8–12 distribution fragments;
• Use AI for research, drafting, and repurposing — hold the final bar at 5 stars.

3. SEO & Organic Growth

• Keyword strategy across 3 verticals — bottom + middle funnel intent, no vanity traffic;
• On-page + technical SEO: Core Web Vitals, schema, internal linking;
• Link-building via cases, partnerships, founder PR — no paid placements.

4. Inbound Funnel & Lead Capture

• Design vertical-specific lead magnets (assessment, framework, benchmark) — not generic ebooks;
• Build landing pages in Webflow / WordPress / Framer, set up forms, tracking, and lead routing in Pipedrive;
• Run quarterly funnel reviews — find leaks, cut friction.

5. LinkedIn & Founder-Led Distribution

• Ghostwrite and co-create LinkedIn content for CEO and core team;
• Maintain personal LinkedIn presence in WSY brand voice;
• Strategic engagement with target accounts — no spray-and-pray;
• Use LinkedIn Sales Navigator for targeting and intent signals.

6. Email, Nurture & Sales Enablement

• Run a newsletter for the warm audience (bi-weekly or monthly);
• Build drip sequences from lead magnets: 3–7 emails, educational → sales-converging;
• Produce sales enablement assets: snippets, case studies, response templates.

7. Analytics, Attribution & Experimentation

• Own funnel tracking: GA4 + GSC + Pipedrive + UTM hygiene;
• Maintain a weekly metrics dashboard: traffic, conversion, lead quality, SQLs, pipeline;
• Run 2+ A/B tests per month on messaging, CTAs, lead magnets;

Requirements:

Must-have:

• 2-5 years in B2B marketing: software services / outsourcing / agency with a client-outcome focus
• Proven self-driven inbound generation without a large budget — specific examples with before/after metrics (traffic, leads, pipeline)
• Hands-on SEO (keyword research, on-page, technical) and content marketing — not vendor management
• AI Fluency: Adoptive — must demonstrate a concrete example of using Claude with a measurable before/after
• English C1+ written, B2+ spoken

Nice-to-have:

• Personal LinkedIn brand or public presence (talks, articles, community)
• Founder-led / executive ghostwriting experience

What we offer:

📈 Professional Growth opportunities:

• Ambitious goals and interesting projects;
• Regular & transparent performance review and feedback process;
• Possibility for both vertical or horizontal growth (in case you want to try a different path).

😌 Comfortable Working conditions

• Flexible working hours;
• Provision of required equipment;
• Remote working model.

🎁 Benefits program

• 18 paid days off + 2 public holidays;
• Free tax reporting support by our Financial department;
• Help with individual entrepreneurs’ questions and accounting support;
• Financial support and additional days off for various occasions (e.g. marriage, childbirth, etc.);

We are looking for an SEO & AI Search Visibility Specialist to own the technical and analytical delivery of our AI Visibility Audit product — the diagnostic that shows clients how their brand performs in ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews, and what to do about it.

The DACH market in 2026 treats GEO/AEO as a must-have, but mature providers with a real methodology are scarce. This role is for someone who has actually run citation tracking in production — not someone who added "GEO" to their title last year.

You will work directly with the founding team and clients. No intermediary layers. 3–4 concurrent audits at different stages is the expected pace.

Fully remote and async. No probation period — the first audit serves as the screen. Direct relationship with the founder and clients, no account management layer.

Key responsibilities

• Run citation testing across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews — 40–60 queries × 5 platforms per audit
• Branded vs. non-branded query testing; competitor visibility benchmarking (3–5 competitors per audit)
• Entity recognition checks: Wikipedia, Wikidata, knowledge graph, Crunchbase, G2
• Technical AI-readiness audit: schema markup, structured data, FAQ blocks, llms.txt, robots.txt for AI crawlers, content structure for passage-level retrieval
• Content gap analysis — which intent categories competitors own, which are still open
• Build a 90-day GEO/AEO roadmap with prioritization and effort estimates per client
• Cover the SEO layer within the Digital Infrastructure component of the Revenue Architecture Diagnostic
• Support the Lead Consultant during AI Visibility final client presentations

Requirements 

• 3–5 years in SEO + hands-on GEO/AEO experience in 2025–2026 (citation tracking, AI visibility monitoring in production)
• Advanced technical SEO: Screaming Frog, Google Search Console, Ahrefs or Semrush
• Schema.org and structured data — own implementation, not just coordination with developers
• Knows llms.txt and AI crawler robots.txt directives
• Understands passage-level optimization, query fan-out, and entity recognition as real practices
• Can produce analytical technical visualizations: citation heatmaps, gap maps (not just checklists)
• English B2+
• Ready to work as a contractor from day one (no full-time from the start)
• Can share real audit examples (anonymized / blurred body is fine)

Nice to have

• Experience with AI visibility tooling: Profound, Otterly, Conductor AEO, AthenaHQ
• German B1+ — critical for client work with DACH SMB clients
• B2B / SaaS experience in DACH markets
• Basic Python or JavaScript for automating citation testing
• Multilingual SEO expertise: DE / AT / CH markets

• Content strategy beyond auditing — able to develop actionable recommendations, not just identify gaps
   

  Tech stack: Ahrefs or Semrush, Screaming Frog, Google Search Console, Schema.org / Structured Data, Notion, GA4, GTM Profound Otterly, AthenaHQ.
  
  Recruitment process:
  1. Recruiter screening
  2. HM tech/case Interview
  3. Reference check
  4. Offer

CodeTiburon is looking for a Senior Backend Engineer (LLM & AI Infrastructure) to join our team and work closely with one of our long-term clients.

About the project:

We are a deep-tech company building state-of-the-art LLM-based assistants augmented with knowledge graphs. The platform focuses on combining large language models with structured knowledge systems to create more accurate, reliable, and scalable AI assistants.
 

The project involves building robust backend infrastructure that powers AI applications, enabling scalable model inference, retrieval systems, and knowledge graph integrations within a multi-tenant SaaS environment.
 

Responsibilities:
 

• Architect, deploy, and operate scalable backend services and multi-tenant SaaS systems in Kubernetes-based cloud environments
• Design and operate high-throughput data pipelines (batch and streaming)
• Build APIs and services integrating LLM inference, retrieval systems, and knowledge graphs
• Productionize research-grade AI systems into reliable distributed systems
   

Requirements (Must Have):
 

• 7+ years of backend engineering experience
• Strong experience with data pipelines and SaaS architectures
• Strong proficiency in Python
• Deep understanding of distributed systems and cloud-native environments
• Strong hands-on experience with Kubernetes in production environments. Candidates should be comfortable deploying, operating, scaling, and troubleshooting distributed applications on Kubernetes and have practical experience with its core ecosystem (networking, storage, observability, autoscaling, and CI/CD integration).
   

Nice to Have:
 

• Go and/or Scala experience
• Hands-on experience with LLM systems (RAG, model serving, evaluation)
• Experience with knowledge graphs, vector databases, or hybrid retrieval architectures
  
   

Ideal for engineers who enjoy building production-grade systems around cutting-edge AI research.

 

If this sounds like you and your experience aligns with most of the qualifications above, we’d love to hear from you. Please send us your CV.

Thank you for your interest. Each application is carefully reviewed, and candidates whose experience and background best align with the role will be contacted regarding the next steps.

Full Remote | Full-Time | b2b | Flexible Schedule|Product Company

Overview

At eMenu, we are revolutionizing the hospitality industry through innovative iPad menus served to guests in restaurants instead of traditional paper menus.

Our mission is to transform how people interact with menus and dining experiences, setting new standards for customer engagement and operational excellence.

As we continue to grow, we are building intelligent, responsive systems – including a conversational AI Waiter and upgrading our internal tools. You will contribute to redefining the smart restaurant experience by building robust backend systems, integrating language models, and developing automated features that empower both our users and internal teams.

Role Summary

We are looking for a hands-on PythonAI Engineer to take ownership of internal automation systems, tackle complex backend integration challenges, and contribute to the backend systems supporting our conversational “AI Waiter.”

This role emphasizes strong software engineering fundamentals, project ownership, and problem-solving. While your primary focus will be backend development, you will heavily utilize AI-driven tools, automation systems, and third-party integrations to get the job done.

Key Responsibilities

• AI Waiter Contributions: Contribute to the backend systems and integrations that power our conversational AI Waiter.
• AI Tools & Data Processing: Develop and improve internal tools by integrating LLMs for data processing, alongside other third-party AI services (e.g., text and image processing APIs).
• Backend Engineering & Automations: Build and maintain internal APIs using Python, FastAPI, and SQL databases. Develop backend automations, alerting systems, and complex third-party API integrations.
• Testing & Code Quality: Write maintainable, robust code and implement automated tests to ensure system reliability.
• Web Architecture: Design clear, scalable APIs to ensure seamless and reliable client-server data flow.
• Cloud Infrastructure: Work within an AWS cloud environment and support application deployments when needed.

Requirements

Must-Have:

• 3–5 years of experience in software development with a strong focus on backend engineering.
• AI Integration: Practical, hands-on experience integrating and working with Large Language Models (LLMs) via APIs.
• Strong proficiency in Python and modern frameworks (e.g., FastAPI).
• Solid experience working with SQL databases.
• Deep understanding of web architecture, REST APIs, and client-server interaction.
• Cloud Experience: Familiarity with AWS or similar cloud platforms to understand the environment and support deployments.
• Fluency in English (Upper-Intermediate or higher) and one additional language (Ukrainian, Russian, or Hebrew).

Working Style & Expectations:

• Project Ownership: Ability to work independently with minimal supervision, define solutions end-to-end, and take responsibility for systems in production.
• Bias for Action: Strong prioritization skills with a focus on delivering production-ready solutions quickly.

Nice to Have:

• Reverse Engineering: Ability to analyze and work with undocumented APIs or systems.
• Familiarity with recommendation systems or predictive modeling.
• Experience with frontend frameworks (e.g., Vue.js).

Work Environment and Schedule

• Salary: Up to $4,500 per month.
• Contract: B2B contract – unlimited.
• Time Off: 10 calendar days of PTO per year; up to 5 sick days per year.
• Stability: Long-term role with a focus on retention.
• Flexible Schedule: 40 hours per week, fully flexible distribution (aligned mostly with European hours, occasional US overlap).
• Minimal Meetings: No daily standups, weekly updates only.

Interview Process

1. Step 1 – Introductory Call
2. Step 1.5 – Take-Home Test (before the technical interview)
    
3. Step 2 – Technical Interview with Ilya (~1 hour total)
4. Step 3 – Cultural Fit Interview

We’re building V4V.ai — an AI-powered platform that generates high-performing video content (UGC / ads / creatives) using AI agents. 

We’re not looking for a traditional marketer.
We’re looking for a builder — someone who can combine content, growth, and AI automation into a scalable system.

🎯 What You’ll Do

• Build a marketing system powered by AI
  • set up and manage 4–5 agents (content, research, posting, analytics, repurposing)
  • optimize workflows for speed and output quality
• Create viral-ready content
  • short-form video (TikTok / Reels / Shorts)
  • test hooks, formats, styles (UGC, absurd, storytelling, etc.)
  • work with AI video tools (Seedance, Runway, etc.)
• Build a content machine
  • consistent posting via AI workflows
  • scale what works, kill what doesn’t
  • rapid idea generation + testing
• Manage social media & blog
  • X / LinkedIn / TikTok / Instagram
  • AI-assisted, but with strong taste and control

🧠 Who You Are

• 3+ years in marketing / growth / content / SMM
• Strong understanding of what makes content go viral
• Experience with short-form content (TikTok / Reels / Shorts)

You are:

• fast (you ship, not overthink)
• highly adaptable to new tools
• comfortable using AI as a multiplier

➕ Bonus Points

• Experience with AI tools (Runway, Midjourney, LLMs, etc.)
• Familiarity with automation (Zapier, Make, or similar)
• Background in video creatives / performance ads

🔥 How to Apply

Send:

1. 2–3 examples of content or campaigns you’ve worked on
2. 1 concrete idea on how you’d grow V4V.ai

At UnderDefense, we protect the digital world by helping businesses stay ahead of cyber threats. Our cutting-edge cybersecurity services and award-winning team empower global enterprises to operate securely and with confidence.

We are seeking a hands-on B2B social media strategist to turn our LinkedIn and YouTube presence into a lead generation engine and a brand awareness powerhouse. This role is perfect for someone who thrives on creating impactful content in SaaS or highly technical industries like cybersecurity, and wants to work directly with our CEO and subject-matter experts to amplify their insights.

What you’ll do:

• Manage the CEO’s LinkedIn presence as the primary growth channel (content creation, publishing)
• Work directly with the CEO to translate ideas, expertise, and feedback into content 
• Use AI tools to generate, edit, and scale content (text, visuals, presentations, video), while maintaining high quality and consistency
• Support the company’s LinkedIn page and distribution through internal stakeholders’ profiles
• Analyze content performance and optimize based on what drives visibility, engagement, and leads
• Collaborate with design and marketing to ensure consistent messaging and visual standards

What makes you a great fit:

• Experience managing a founder’s personal brand on LinkedIn or corporate LinkedIn page (B2B, SaaS, or similar)
• Track record of driving measurable results via social media (leads, engagement, traffic)
• Experience using AI tools for content creation (and more importantly — controlling quality, not just generating content)
• Strong execution mindset: you can move fast, test ideas, and iterate without waiting for perfect input

Why join UnderDefense?

• Work with a world-recognized cybersecurity company featured in Top 200 MSSPs globally
• Your content will reach CTOs, CISOs, and decision-makers at Fortune 500 companies
• Be part of a smart, passionate team that values initiative and creative freedom

• Direct influence on company growth with close collaboration with leadership

   

If you want to turn social media into a true business driver, create content with global reach, and be part of a fast-scaling cybersecurity leader, we’d love to meet you!