Jobs at Djinni

We are seeking a Programmatic Media Buyer with 4–7 years of hands-on experience managing campaigns in DV360 and other DSPs. This is a client-facing role, ideal for someone who can own the full media buying lifecycle—from planning, forecasting, and launch to ongoing optimization and insights reporting.

You’ll work closely with cross-functional teams across creative, analytics, and strategy, and be expected to deliver results across upper, mid, and lower funnel campaigns.

This role is open to both part-time and full-time candidates. For those seeking a full-time opportunity, experience in Paid Social (Meta, TikTok, LinkedIn) or Paid Search (Google Ads) is preferred in addition to core programmatic expertise.

Key Responsibilities

Strategy & Planning

• Translate client goals into full-funnel media strategies using DV360 and/or other DSPs (e.g., StackAdapt, The Trade Desk)
• Build campaign plans, audience segmentation, and inventory strategies tailored to awareness, consideration, and conversion stages
• Create accurate spend forecasts, pacing plans, and testing roadmaps based on media objectives

Campaign Execution

• Launch and manage Programmatic campaigns (display, video, native, and CTV) across DSP platforms
• Set up and monitor tracking infrastructure (pixels, tags), ensure accurate conversion tracking
• Execute structured tests, manage inventory lists, and adjust bid/frequency strategies as needed

Optimization & Reporting

• Monitor performance against KPIs (CPM, CTR, CPC, CPA, ROAS) and continuously optimize for efficiency and outcomes
• Generate insights reports and performance recaps with clear recommendations for next steps
• Present findings in internal reviews and client-facing calls

Client Collaboration

• Serve as a programmatic lead on assigned accounts, ensuring media strategy aligns with business objectives
• Coordinate with creative, strategy, and analytics teams to align campaign messaging and execution
• Support quarterly reviews and roadmap planning with channel-level insights and data-backed opportunities

What You Bring

Must-Have Qualifications

• 4–7 years of hands-on Programmatic media buying experience
• Strong expertise in DV360, and working knowledge of at least one other DSP (e.g., StackAdapt, The Trade Desk, Amazon DSP)
• Strong data fluency – experience with Excel/Sheets, Looker Studio, and native DSP dashboards
• Knowledge of conversion tracking setup, pixels/tags, and attribution modeling
• Ability to communicate performance insights in a clear, client-friendly manner

• Experience working with diverse accounts and adapting to different funnel strategies

   

Bonus Skills

• Familiarity with contextual and audience-based targeting strategies
• Exposure to CTV, native, or retargeting formats beyond standard display/video
• If applying for a full-time role:
  • Experience managing Paid Social campaigns (Meta, TikTok, LinkedIn), or
  • Experience with Google Ads or YouTube campaigns within Paid Search ecosystems

Role Details

• Open to both Part-Time and Full-Time candidates
• Flexible remote position
• Competitive compensation aligned with experience and availability
• Opportunity to grow into a strategic leadership role as the programmatic offering expands

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

Why are we introducing Product Ops

Think of 🏎️ Product Ops as the pit-crew for our product org — the crew that keeps the car running at optimal speed while the drivers (PMs, designers, engineers) focus on steering, innovation, and delivering value.
Digital product work is unpredictable — delays, messy data, broken handoffs, tool chaos — those can easily turn “sprints” into sludge. Product Ops is what stands between that chaos and the ability to deliver clean, high-velocity, high-quality work.
Instead of building the product itself, Product Ops builds and runs the operating system — frameworks, tools, workflows — so that the rest of the org can move fast, aligned, and without friction.
Product Ops isn’t “just operations” — instead, it’s a force multiplier.

Importantly, this role is not about processes for the sake of processes.
This role is all about reality checks. You’ll systematically align our product with what customers and commercial teams actually experience.

What You Will Own

— Customer feedback loop: Structured system connecting Sales, Merchant Ops, and Integration insights directly into product discovery and planning

— Product context from the field: Translating sales demos and merchant interactions into actionable product intelligence (what works, customer expectations, objections)

— Scalable processes: Clear frameworks for product involvement in custom solutions, demos, and merchant initiatives — replacing ad-hoc coordination with repeatable systems

— Feature rollout: Controlled deployment of new features to existing customers, including timing, communication, feedback collection, and iteration

— Team management & development: Design & Tech Writing teams

Why This Role Is a Career Accelerator

— High-impact role — you directly shape how the entire product organization works
— N-1 level to the CPO — real strategic influence, not a support role
— Immediate measurable impact — your work instantly affects delivery speed, transparency, and quality
— You build from zero — no legacy chaos, no rigid structures
— Wide operational playground — planning, discovery, delivery, rituals, documentation, metrics

Team Setup

You will directly lead: Tech Writing & Product Design Team
Your lead & mentor: Artem Sadurskyy, CPO
 

Our Ideal Candidate

— Proven experience in Product Operations, Product Management, Product UX, or Product Design Operations, driving complex initiatives from idea to impact.
— Experience working closely with product designers, UX, and product managers — not only with engineering teams
— Strong product mindset and customer obsession — ability to connect product decisions with real customer and commercial context
— A track record of building, improving, or scaling product processes that actually work — and keep working as teams grow
— Hands-on people leadership experience, supporting teams, setting clear expectations, and raising the bar
— Strong command of planning, discovery, and delivery, with confidence in:

— prioritisation and roadmap governance
— capacity planning and SLAs
— product and delivery metrics (velocity, predictability, quality)

— Fluency with modern product tools: Jira, Confluence or Notion, Figma, and analytics platforms
— A data-driven mindset, comfort with ambiguity, and the ability to turn complexity into clarity

Soft skills that truly matter here: systems thinking, clear structured communication, ability to influence without authority, leadership & ambition, results-oriented mindset, conflict management, and strong cultural fit.

The Points That Make You Stand Out
Experience in fintech/payments, B2B, and marketing acquisition.
 

Why Join Solidgate?
High-impact role. You’re not inheriting a perfect system — you’re building one
Great product. Solidgate is the financial infrastructure for modern Internet businesses: from subscriptions to fraud, chargebacks, and indirect tax
Part of Endeavor. A global community of the world’s most impactful entrepreneurs
Massive growth opportunity. This role will be a career-defining move
Top-tier tech team. Proven engineers, modern engineering culture, CI/CD, metrics, automation

📩 Ready to become a part of the team? Then, cast aside all doubts and click “apply”

We are seeking a Paid Social Media Buyer with 4–7 years of experience running multi-platform campaigns with a strong foundation in Meta (Facebook/Instagram Ads Manager) and experience across one or more of TikTok, Pinterest, or Reddit.

This role goes beyond execution—you will play a critical role in content briefing, testing, and mapping paid creative against the funnel, as well as applying measurement and attribution tools (such as Wicked Reports, Northbeam, or Triple Whale) to help clients understand what’s working and why.

You’ll work with a diverse mix of brands and verticals, manage campaign strategy and day-to-day performance, and contribute to strategic insight development.

Key Responsibilities

Paid Social Strategy & Execution

• Plan, launch, and optimize paid social campaigns across Meta, TikTok, Pinterest, and Reddit (Meta expertise is required)
• Build and manage budgets, audience targeting, funnel segmentation, and testing roadmaps
• Develop media plans aligned to client objectives: lead generation, sales, signups, or traffic growth
• Implement creative testing frameworks (hooks, formats, value props) and track performance across funnel stages

Content Briefing & Creative Collaboration

• Translate funnel needs into content briefs for internal or external creative teams
• Guide the development of static, video, UGC, and motion assets based on platform and objective
• Map content types and angles to TOF, MOF, BOF strategies and campaign structures
• Collaborate with designers, editors, and writers to maintain high-performance ad libraries

Attribution, Measurement & Optimization

• Set up and validate pixel, CAPI, and platform conversion events across ad accounts and client sites
• Leverage 3rd-party attribution tools such as Wicked Reports, Triple Whale, or Northbeam to report on performance holistically
• Analyze data trends to identify creative wins, funnel drop-offs, and segment-specific performance
• Generate insights that lead to actionable optimizations and support strategic recommendations

Reporting & Client Collaboration

• Deliver weekly and monthly performance reports, including pacing, KPI performance, and next-step recommendations
• Present insights clearly to internal teams and external clients (written or verbal)
• Collaborate cross-functionally with CRO, SEO, and Creative to align performance strategy

What You Bring

Must-Have Qualifications

• 4–7 years of hands-on Paid Social campaign management experience
• Deep experience with Meta Ads Manager (campaign builds, testing, budget pacing, audiences)
• Experience with at least one additional platform (TikTok, Pinterest, or Reddit)
• Demonstrated ability to brief, test, and scale creative content for performance
• Hands-on experience with 3rd-party attribution platforms (Triple Whale, Northbeam, or Wicked Reports)
• Strong understanding of full-funnel planning, including TOF/MOF/BOF strategies and creative alignment
• Proficiency with performance reporting, including KPIs like CPA, ROAS, MER, and funnel health metrics

Bonus Skills

• Experience with Google Tag Manager, event tracking, or Shopify integrations
• Background in eCommerce or subscription/lead-gen business models
• Prior agency experience managing multiple client accounts
• Strong spreadsheet/reporting tool fluency (Google Sheets, Looker Studio, etc.)

Role Details

• Open to both Part-Time and Full-Time candidates
• Fully remote position
• Work across a mix of industries, clients, and funnels with support from creative and strategy leads
• Competitive compensation 

We are an affiliate-focused SEO team within Natural Links, working exclusively in the gambling niche.
Our core activity is building and scaling large networks of satellite websites targeting casino brands and game-related keywords.

    About the Team

• Affiliate SEO direction inside Natural Links
• Launched in summer this year, now actively scaling
• Clear processes and production-ready setup (not a raw startup)
• Internal automation for:
  • mass website creation
  • link building workflows
  • SEO scaling processes
• Operating at high volumes (hundreds of websites)
  
  Responsibilities
• SEO management of affiliate satellite websites (casinos & games)
• Working with large-scale website networks
• On-page SEO, site structure, internal linking
• Link building control and optimization
• Monitoring performance and identifying growth opportunities
• Contribution to affiliate SEO strategy and scaling
  
  Requirements
• Practical experience in gambling affiliate SEO
• Understanding of satellite sites, money pages, and affiliate funnels
• Experience with large site volumes
• Strong link building knowledge in competitive niches
• Confident with Ahrefs, GSC, and similar SEO tools
• Ability to work independently and take ownership
  
  Nice to Have
• Experience with PBNs, crowd links, tier systems
• Experience working with automated SEO workflows
• Understanding of Google updates in gambling niches
• Experience with Keitaro or other affiliate tracking systems
  
  What we offer
• Remote-first culture with an international team
• Flexible schedule + transparent KPIs
• 30 business days of paid off
• The opportunity to directly influence company growth.

Natural Links builds and scales SEO-driven iGaming projects.
Our affiliate direction is already producing results, and we’re moving into an active growth phase

We’re looking for an Affiliate Partnerships Manager with strong iGaming experience and a clear understanding of affiliate traffic and deal economics.

Responsibilities

• Build and manage partnerships with casinos and affiliate programs
• Negotiate CPA, RevShare, and hybrid deals
• Maintain long-term partner relationships
• Track performance, payouts, and ROI
• Represent Natural Links at international iGaming events
  (SiGMA, iGB, SBC, AWA)

Requirements

Must-haves

• Experience in iGaming / Gambling affiliate marketing
• Clear understanding of affiliate traffic and monetization logic
• Hands-on experience with CPA, RevShare, and hybrid models
• Practical experience with Keitaro 
• Strong negotiation and communication skills
• English B2+
• Self-driven, ownership mindset
• Ability to attend and network at iGaming conferences across Europe

Nice-to-haves

• Background closer to the traffic / affiliate side, or real experience working with affiliates and understanding how they monetize traffic
• Network of affiliate or casino contacts
• Familiarity with SEO traffic and conversion metrics
• Experience attending iGaming conferences

What We Offer

• Remote-first, international team
• Flexible schedule, transparent KPIs
• 30 business days paid time off
• Paid travel to major iGaming events
• Direct influence on affiliate growth

Job Description

• Master’s degree in Computer Science, Data Science, Applied Mathematics, or a related field.
• 7+ years of professional experience in machine learning, data science, or AI engineering.
• Proven experience as a technical lead or solution architect for ML/AI projects, with accountability for end-to-end delivery in a production environment.
• Strong proficiency in Python and the modern ML/AI ecosystem (e.g., PyTorch, Hugging Face, LangChain/LangGraph, Scikit-learn).
• Hands-on experience with data ingestion, RAG pipeline optimization, model evaluation, deployment (MLOps), and monitoring.

• Deep understanding of generative AI (LLMs, embeddings, RAG, prompt engineering, and agentic reasoning) and its practical constraints (latency, cost, safety, hallucinations).

   

Job Responsibilities

• Work with stakeholders to translate domain-specific knowledge into "Spec-Driven" ML architectures and agentic workflows.
• Design and implement solutions that combine the reasoning power of LLMs with the precision of structured knowledge (ontologies/knowledge graphs).
• Pilot the Claude Code CLI and other agentic tools to generate code, run automated tests, and maintain "Context Hygiene" within the project repository.
• Apply structured 4-phase debugging to ML pipelines, focusing on root-cause analysis of hallucinations, retrieval failures, and data drift.
• Define and automate "Skills" (prompt libraries, evaluation scripts, and deployment templates) to be re-used across multiple AI-Native pods.
• Define and implement quality gates, safety metrics, and cost-control practices for GenAI components.

• Lead by example in adopting AI-Native practices, mentoring the AI Apprentice and other team members in the "People + Agents" delivery model.

   

Department/Project Description

We are seeking a Senior ML / Data Science Lead to join our AI & Data practice and spearhead a next-generation initiative within our AI-Native Delivery Pod. In this role, you will combine high-end machine learning engineering with a revolutionary approach to software delivery. You will not just build AI; you will build AI using AI, orchestrating agentic workflows to deliver complex solutions at a velocity traditional teams cannot match.

You will focus on building practical, production-ready solutions that bridge the gap between unstructured data and structured logic using LLMs, agentic workflows, and knowledge representations (ontologies, knowledge graphs). You are expected to be an "AI-Native" pioneer, utilizing tools like Claude Code, Cursor, and custom MCP servers to automate your own development lifecycle—from data exploration and model evaluation to code generation and documentation.

Join a Company That Invests in You

Seeking Alpha is the world’s leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference.

Here, your growth matters. We prioritize your development through ongoing learning and career advancement opportunities, helping you reach new milestones. Join Seeking Alpha to be part of a company that values your unique journey, supports your success, and champions both your personal well-being and professional goals.

What We're Looking For

Role Overview: You will take ownership of the search infrastructure for Ask Seeking Alpha — a financial intelligence platform powered by LLMs. Your main goal is to ensure our AI agents can find the exact financial data they need (articles, transcripts, news) in milliseconds. You will work on the Retrieval layer of our RAG architecture, combining traditional text search with modern vector search techniques.

Tech Stack: Elasticsearch (v8+), Python (FastAPI, Asyncio), OpenAI Embeddings, LangChain, LangSmith.

What You'll Do

• Search Engine Development: Design and implement Hybrid Search strategies. You will figure out how to best combine "keyword matching" (finding specific tickers like 'AAPL') with "semantic search" (finding concepts like 'revenue growth').
• Relevance Tuning: You are responsible for the quality of search results. You will build systems to measure and improve how well the search engine answers user queries (using tools like LangSmith).
• Vector Search & RAG: Manage the integration of OpenAI embeddings into Elasticsearch. You will solve challenges related to indexing long documents (e.g., earnings transcripts) so the AI retrieves only the most relevant parts.
• Performance Optimization: Optimize Elasticsearch queries and index settings to ensure low latency, even for complex queries with many filters.
• Python Backend: Develop and maintain the Python services that build queries and process results. We use FastAPI and Asyncio heavily.

Requirements

• Elasticsearch Expert: 5+ years of experience working with Search Engines in production. You understand how indices, analyzers, and mappings work "under the hood."
• Search Theory: You understand the difference between Lexical Search (keywords) and Vector Search (meaning), and know when to use which.
• Python Proficiency: Strong experience with Python 3.10+. You are comfortable writing asynchronous code (async/await) and building APIs.
• Data Engineering: Experience designing data schemas for search (how to structure JSON documents for efficient retrieval).

Nice to Have

• Experience building RAG (Retrieval-Augmented Generation) pipelines.
• Familiarity with LangChain or similar LLM frameworks.
• Experience with Evaluation tools (like LangSmith) to test search quality automatically.
• Background in Finance (understanding tickers, earnings calls, etc.).

Join a Company That Invests in You

Seeking Alpha is the world’s leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference.

Here, your growth matters. We prioritize your development through ongoing learning and career advancement opportunities, helping you reach new milestones. Join Seeking Alpha to be part of a company that values your unique journey, supports your success, and champions both your personal well-being and professional goals.

What We're Looking For

Role Overview: We are developing Ask Seeking Alpha — a high-load financial analysis system based on Large Language Models. The architecture is built on complex multi-agent orchestration using LangGraph, FastAPI, and Elasticsearch.

We are looking for a Senior Backend Engineer specialized in Generative AI to design agent workflows, optimize interactions with models (OpenAI, AWS Bedrock), and ensure the reliability of non-deterministic systems in production.

Tech Stack: Python (Asyncio), FastAPI, LangChain, LangGraph, Pydantic, Elasticsearch, AWS Bedrock / OpenAI API, LangSmith.

What You'll Do

• Agent Architecture: Design and implement complex agent orchestration logic using LangGraph. You will define state management, conditional routing, and error handling within the agent graph.
• Tool Engineering: Build and optimize the tool layer (function calling) that allows LLMs to interact with internal financial APIs and databases accurately.
• Performance Optimization:

-Reduce end-to-end latency through asynchronous processing and streaming (SSE).

-Implement semantic caching strategies to minimize API costs and response time.

-Optimize token usage without sacrificing answer quality.

• Observability & Evaluation: Implement automated evaluation pipelines using LangSmith. You will be responsible for setting up regression testing for prompts and agents to measure quality (correctness, faithfulness) before deployment.
• Advanced RAG: Refine retrieval strategies. Work on hybrid search implementation (Keyword + Vector), re-ranking, and query expansion to feed the most relevant context to the model.

Requirements

• Python Expert: Strong proficiency in modern Python. Deep understanding of asynchronous programming (asyncio) patterns is mandatory, as our entire I/O pipeline (Network, DB, LLM) is non-blocking. Experience with FastAPI and Pydantic (v2).
• Agentic Frameworks: Production experience with LangChain. Hands-on experience or deep conceptual understanding of LangGraph (or similar state-machine-based agent frameworks).

Deep LLM Expertise (What we mean by "Deep"):

• Non-determinism Management: Strategies for handling LLM hallucinations and ensuring reliable outputs (e.g., self-correction loops, specific prompting techniques like CoT/ReAct).
• Structured Outputs: Experience forcing LLMs to adhere to strict schemas (Pydantic/JSON mode) for reliable downstream processing.
• Context Optimization: Advanced strategies for managing limited context windows (summarization chains, sliding windows, selective context injection) beyond simple truncation.
• Inference Economics: Understanding the trade-offs between model size, latency, and cost (e.g., when to route to GPT-4 vs. a smaller/faster model).

Nice to Have

• Experience with Elasticsearch (DSL queries, analyzers).
• Knowledge of vector databases and embedding models.
• Background in FinTech or familiarity with financial data structures.

Employment Type: Part-Time (Hourly)

Experience:
1–3+ years of hands-on experience in web scraping, automation, or data extraction projects.

Role Overview:
We are looking for a Web Scraping Developer who can design and maintain reliable data extraction systems across complex websites and social platforms. The role involves building scalable scraping pipelines, handling anti-bot protections, and integrating modern AI-assisted development tools.

This is a part-time, hourly position suited for a strong junior or middle developer who is comfortable working independently and solving real-world scraping challenges.

Key Responsibilities:

• Develop and maintain web scraping and web crawling systems for extracting structured data from websites and online platforms.
• Handle complex scraping scenarios, including dynamically rendered pages, pagination, APIs, and large-scale data collection.
• Work with proxy networks, rotating IPs, and anti-bot protection mechanisms.
• Build scraping logic that can operate reliably across different site structures and layouts.
• Use AI-assisted development tools to accelerate development and debugging.
• Collaborate on improving scraping accuracy, stability, and performance.

Required Skills:

• Practical experience with web scraping and web crawling
• Experience working with dynamic websites (JavaScript-heavy pages)
• Understanding of HTTP requests, cookies, headers, and sessions
• Experience working with proxies and IP rotation
• Ability to analyze website structures and build resilient scrapers
• Comfortable using AI development tools such as:
  • Cursor
  • Claude Code
  • Other AI-assisted coding tools

Nice to Have:

• Experience scraping social media platforms
• Knowledge of anti-bot bypass techniques
• Familiarity with automation frameworks or headless browsers
• Experience building large-scale scraping pipelines

Work Format:

• Part-time
• Hourly payment
• Remote

We're looking for you: our new Senior Full-Stack Engineer, who will help us build the technical backbone of two fast-growing digital health brands, and leave a real mark on healthcare that reaches thousands of people every day.

In this role, you'll work across the full stack on a modern tech foundation (Next.js, Supabase, Node.js, and more), shipping features that directly improve patient experience. You'll be close to the product, close to the team, and close to the impact.

What you’ll do

• Design and build scalable full-stack features
• Write clean, maintainable code and contribute to a codebase you'll actually be proud of
• Make pragmatic technical decisions and flag trade-offs early
• Improve tooling, developer workflows, and system reliability
• Collaborate directly with product, operations, and leadership

• Support and learn alongside other engineers as the team grows

   

Who you are

• 5+ years of experience as a full-stack or backend-focused engineer
• Strong with modern web stacks - you're comfortable end-to-end
• You think in systems and care about long-term maintainability, not just shipping fast
• Proactive and independent - you pick things up, run with them, and ask the right questions

• Fluent in English (Dutch is a plus)

   

What we offer

• A meaningful engineering role at a fast-growing health startup backed by €2M in recent funding
• Competitive salary based on experience
• Direct impact on real healthcare, used by thousands of patients
• A young, ambitious, and low-ego team
• Room to grow, technically and beyond

About Mila Health

Mila Health builds modern healthcare that's fast, discreet, and genuinely effective. Through our brands Goodweigh (weight management) and Fellos (men's health), we combine medical expertise with digital products that actually help people. We're scaling quickly and investing in the engineering foundation to match.

Bulls Media is looking to hire a strong BI developer and data analyst.

The role involves both data analytic and technical skills : gathering data , developing tools and dashboards,  evaluating data and sharing findings that affect business decisions. 

Responsibilities:

• Working with different company departments and setting business requirements for BI tools
• Translating business requirements into technical ones
• Suggesting technical options to meet the requirements and creating an BI architecture. Providing time estimation
• Leading and executing BI software development, deployment, and maintenance: 
  • Creating Power BI reports based on client requirements 
  • Taking data from different data sources : databases, internal and external API, google sheets and more
  • Developing different visualization levels and dashboards
  • Maintaining and optimizing existing reports
  • Ensuring data correctness
  • Testing reports of other BI developers
• Creating technical documentation for BI tools
• Evaluating data, collating findings relevant to the business, and sharing them in a manner that can bring about an effective change in a business:
  • Breaking down key business data: gather, clean, and analyze data
  • Interpreting the data: Find patterns or see areas in the data that signal a potential for improvement in business practices
  • Sharing findings:visualizing data in graphs and charts, recommendations to improve or grow the business based on their findings.

Required Skills/Abilities:

• At least 2 year experience in a BI developer & data Analyst role
• Experience with PowerBI including a good knowledge of DAX
• Deep knowledge of SQL Databases and SQL script optimisation
• Good knowledge of excel / Google sheet (formulas)
• Basic knowledge of Python
• Non relational database - advantage
• Advanced analysis and problem solving skills
• Attention to detail
• The ability to work both as a team player and independently
• Ability to multitask in a fast-paced environment
• Self learning abilities

What We Offer:

• 21 days of paid Leave per year.
• 7 days of sick Leave annually.
• English-speaking Clubs.
• Corporate Events and team buildings.
• Long term cooperation.
• Performance review once a year
• Health insurance.
• All necessary technical equipment provided.
• 4 days work on-site in comfortable office and 1 day fully remote.

Steps of the hiring process:

• Recruitment interview.
• Technical interview.
• Test task.
• Final interview with CTO.

About the company

Ender Turing is a product-focused AI startup building conversation intelligence solutions used in real production environments by international companies.

Founded in 2020, we are a focused team of 9 engineers and product specialists building and operating a production-grade AI platform that processes large-scale customer communication data across voice and chat channels.

Our systems help companies optimize operations through AI-driven speech and text analytics.

Our clients include companies such as Uniqa Insurance Group, OTP Bank, Aventus Group, Nova Pay, Fozzy Group, Dobrobut hospitals and others, operating across markets including Spain, Mexico, USA, Germany, Poland, Czech Republic, Estonia, Colombia and Ukraine.

Small team. Global footprint. Real production systems.

What you’ll work on

• Backend development for high-load conversation processing services
• Building real-time analytics dashboards and data visualizations
• Integrating LLM-powered features (transcription, sentiment analysis, summaries)
• Developing scalable services and data pipelines
• Integrations with CRM and contact center systems (Zendesk, Genesys, Vicidial etc.)

You will work across the stack and own features end-to-end, from architecture decisions to production deployment.

Tech stack

Backend
Python 3.11+, FastAPI, SQLAlchemy, Celery, Redis, PostgreSQL

Frontend
Vue 3, TypeScript, Vuetify, Vite, WebSockets

AI / Data
LLM APIs, speech processing pipelines

Infrastructure
Docker, Kubernetes, AWS / GCP, OpenSearch, Traefik

Tooling
Git, GitHub Actions, pytest, pre-commit

Requirements

• 5+ years of experience shipping production software
• Strong backend development with Python
• Experience with modern frontend frameworks (Vue / React)
• Ability to work across backend and frontend components
• Experience with scalable systems and APIs
• Comfortable using AI tools to accelerate development
• Self-driven engineer able to take ownership of features

What we offer

• Work on real AI systems used by international companies
• Small, experienced engineering team
• High ownership and fast product iterations
• Remote-first environment
• Direct impact on product and architecture

Interview process

1. HR conversation
2. Founder discussion
3. Technical interview
4. Technical deep-dive (live coding / architecture discussion)
5. Small take-home task (1–2 hours)

How to apply

Please send:

• Your GitHub profile
• A project you’re proud of
• A short note on why startups, why now, and why Ender Turing

Role Summary 

You are an AI-native full-stack developer who loves building things that actually work — fast, reliable, and beautiful. You’ll lead the technical development of client platforms, automation tools, and MX² — our proprietary AI-powered marketing product. 

From back-end architecture to front-end implementation, you’ll translate creative and strategic concepts into performant, scalable code. You understand that clean, efficient development drives business results, and you thrive where technology, marketing, and 
creativity intersect. 

You combine deep technical ability with curiosity, speed, and a maker mindset — using AI-assisted coding tools to deliver 10× output while maintaining precision and structure. 

Key Responsibilities 

Product & Platform Development 

• Develop, test, and maintain web applications and automation tools for clients and MX². 
• Build secure, scalable APIs and integrations (OpenAI, Meta, Google, CRM systems, analytics APIs, etc.). 
• Implement AI-driven features using OpenAI, LangChain, or similar frameworks. 
• Maintain clean repositories and enforce version control and documentation standards. 
• Translate Figma or design concepts into responsive, high-performance front-end experiences (React,Next.js, Tailwind, Webflow custom code). Vue.js, Nuxt.js is crucial to know.

AI Integration & Automation 

• Use GPT-based workflows and automation tools to accelerate development and testing. 
• Collaborate with the MX² team to evolve our AI-driven marketing platform architecture. 
• Integrate third-party APIs, webhooks, and AI services for marketing automation, analytics, and reporting. 
• Explore new AI coding assistants, QA automation, and deployment pipelines to boost efficiency. 

Performance & Reliability 

• Ensure platform stability, speed, and scalability across all environments.
• Conduct regular code reviews and implement automated testing. 
• Collaborate with QA and Project Management to guarantee smooth client deliveries. 
• Proactively detect and resolve bugs before client impact. 

Cross-Team Collaboration 

• Work closely with Design (UI/UX), Performance Media, and Data teams to bring digital products and dashboards to life. 
• Support campaign tracking implementation (GTM, GA4, Meta Pixel APIs). 
• Contribute to technical documentation, scoping, and sprint planning. 
• Provide guidance and mentoring for junior or freelance developers. 

Qualifications & Skills 
• Experience: 3+ years in full-stack development with JavaScript / TypeScript (Node.js, React, Next.js or similar). 
• AI Tooling: Hands-on experience with OpenAI API, LangChain, or automation frameworks (e.g., Zapier, Make, Vercel Functions). 
• Database & Infra: Familiar with Firebase, Supabase, PostgreSQL, and cloud deployment (Vercel, AWS, or GCP). 
• Version Control: Proficient with Git, GitHub, and CI/CD pipelines. 
• AI-Native Mindset: Uses GPT-5, Copilot, or Cursor IDE to accelerate coding and problem-solving. 
• Creative & Analytical: Understands design systems and marketing context; writes clean code with clarity and structure. 
• Mindset: Ownership, precision, and curiosity — you build like a founder, not a freelancer. 
 

Benefits & Perks 

• 21 Days Paid Holiday – Take time to recharge. 
• Paid Sick Leave – Health first, always. 
• Ongoing Education & Training – We’ll fund courses in AI development and automation that make you better. 
• Access to Cutting-Edge Tools – AI platforms, automation suites, and premium data tools to work smarter. 
• Creative Freedom & Responsibility – You have autonomy to build, experiment, and ship ideas fast. 

Our Culture: High-Performance, Low-Drama 

• Team-Oriented Wins: We succeed together; we fix problems, not blame people. 
• Creative Agility: Ideas are tested, not theorized. Data leads, creativity amplifies. 
• Remote but Connected: Structured communication and strong processes keep our team tight across borders. 
• Constant Improvement: Feedback is how we grow — individually and as a company. 

If you love building with AI, believe speed and quality can coexist, and want to code for impact rather than bureaucracy, you’ll fit right in at MX2.

 

QA Engineer (AI/LLM)
Full-time | Remote
 
About Us 
ExpoPlatform is a UK-based company founded in 2013, delivering advanced technology for online, hybrid, and in-person events across 30+ countries. Our platform provides end-to-end solutions for event organizers, including registration, attendee management, event websites, and networking tools.

About the Role
We are looking for a Senior QA Engineer to join our Data Science team. In this role, you will take ownership of defining and executing the quality strategy for AI-driven services, ensuring reliability, scalability, and excellent user experience. You will work closely with ML engineers, product managers, and designers to raise the quality bar for our AI solutions.
To be successful in this role, you should bring at least two out of the following three strengths:

• Strong QA skills with a structured and methodical approach to work,
• Strong English language skills, both written and spoken,
• Hands-on experience testing AI/ML systems, chatbots, or LLM-based tools. 

Role Responsibilities

• Define and drive QA strategy and best practices for the Data Science team
• Analyze business and technical requirements to ensure testability and completeness
• Design, implement, and execute functional and non-functional testing (web, mobile, agentic services)
• Lead testing of API endpoints, data pipelines, and integrations within DS-managed services
• Validate frontend and backend processes in interactions with DS components
• Assess LLM behavior: validate prompts, agent workflows, conversation logic, and detect inconsistencies, hallucinations, or undesired outputs
• Collaborate with cross-functional stakeholders to improve AI reliability, fairness, and user satisfaction
• Conduct and guide performance, scalability, and latency testing for AI model inference and responses
• Oversee regression and release testing, ensuring high-quality production deployments
• Establish clear defect management, tracking, and reporting processes
• Contribute to product planning, backlog refinement, and architectural discussions with a QA perspective
• Stay current on advancements in LLM capabilities, benchmarking practices, and AI quality metrics

Required Experience

• 5+ years of experience in functional and non-functional testing, with at least 2 years in a senior role
• Experience testing AI/ML systems, chatbots, or LLM-based tools
• Familiarity with prompt engineering, model evaluation, and validation techniques
• In-depth understanding of QA methodologies, test strategies, and processes
• Solid experience with API testing and related tools
• Familiarity with web technologies (HTML, XML, SQL) and data validation
• Hands-on experience with QA management and collaboration tools (e.g., Jira, Confluence, TestRail)
• English (C1) with excellent communication and documentation skills

Nice to Have

• Additional languages: French, German, or Spanish
• Experience with test automation frameworks (e.g., Pytest, Selenium, Playwright)
• Programming/scripting skills (Python, JavaScript, or similar)
• Familiarity with cloud environments (AWS) and CI/CD pipelines 

What We Offer

• Career growth with an international team.
• Competitive salary and financial stability.
• Flexible working hours (Mon-Fri, 8 hours).
• Free English courses and a budget for education.

Our client is lооkіng fоr Senіоr Prоduct Аnаlysts tо jоіn their grоwіng аnаlytіcs teаm (30+ prоfessіоnаls).

Іn thіs rоle, yоu wіll drіve tаngіble busіness іmpаct by delіverіng hіgh-quаlіty іnsіghts аnd recоmmendаtіоns, leverаgіng yоur аbіlіty tо cоmbіne strаtegіc thіnkіng аnd prоblem-sоlvіng wіth detаіled аnаlysіs. Yоu wіll cоllаbоrаte clоsely wіth Prоduct Mаnаgers аnd crоss-functіоnаl teаms, uncоverіng busіness іnsіghts, devіsіng оptіmіzаtіоn strаtegіes, аnd vаlіdаtіng them thrоugh experіments.

Whаt Yоu’ll Dо

• Cоnduct deep-dіve аnаlyses аnd delіver аctіоnаble іnsіghts tо іmprоve prоduct perfоrmаnce.
• Аnаlyze lаrge-scаle dаtаsets (funnel events, trаnsаctіоnаl, аnd text dаtа) tо іdentіfy grоwth оppоrtunіtіes.
• Desіgn аnd іnterpret А/B tests, MАB experіments, аnd hypоthesіs-drіven аnаlyses.
• Trаck аnd іmplement key busіness metrіcs tо suppоrt decіsіоn-mаkіng.
• Wоrk wіth cuttіng-edge tооls, іncludіng Bаyesіаn stаtіstіcs, ML mоdels, аnd LLMs.
• Cоllаbоrаte wіth а lаrge аnd hіghly skіlled Аnаlytіcs teаm, fоsterіng а knоwledge-shаrіng envіrоnment.

Whаt We’re Lооkіng Fоr

• 5+ yeаrs оf experіence іn prоduct аnаlytіcs, preferаbly іn e-cоmmerce оr custоmer experіence prоducts.
• Prоfіcіency іn SQL, wіth the аbіlіty tо wrіte cоmplex querіes tо extrаct іnsіghts аnd suppоrt decіsіоn-mаkіng.
• Strоng prоfіcіency іn Excel fоr аnаlysіs аnd busіness mоdelіng.
• Experіence wіth Pоwer BІ (Tаbleаu experіence іs аlsо cоnsіdered).
• Expertіse іn Descrіptіve аnd Іnferentіаl Stаtіstіcаl Аnаlysіs, А/B testіng, аnd Hypоthesіs Testіng, wіth а prоven аbіlіty tо аnаlyze results.
• Fаmіlіаrіty wіth Gооgle Аnаlytіcs, BіgQuery, Pythоn/R, аnd ML іs desіrаble.
• Excellent cоmmunіcаtіоn skіlls, wіth cоnfіdence іn іnterаctіng аcrоss аll levels оf mаnаgement аnd dіverse busіness functіоns.
• Englіsh prоfіcіency(аt leаst strоng upper-іntermedіаte level).

Why Jоіn the team?

• Hіgh-Іmpаct Dаtа— Wоrk wіth vаst dаtаsets generаted by оver а mіllіоn dаіly vіsіts, uncоverіng vаluаble іnsіghts.
• Cоllаbоrаtіve Аnаlytіcs Teаm— Jоіn а teаm оf 30+ skіlled аnаlysts whо аctіvely shаre knоwledge аnd suppоrt eаch оther.
• Cuttіng-Edge Tооls & Technіques— Get hаnds-оn experіence wіth ML, Bаyesіаn methоds, аnd LLMs tо sоlve reаl busіness chаllenges.
• Dаtа-Drіven Culture— Thrіve іn аn envіrоnment where dаtа іnfоrms every decіsіоn аnd drіves cоntіnuоus іmprоvement.

Perks аnd Benefіts

• Tіme оff thrоughоut the yeаr (pаіd аnd unpаіd)
• Prоfessіоnаl develоpment suppоrt аnd encоurаgement
• Resоurces tо help іmprоve yоur оverаll well-beіng