Jobs ML / AI

We are a British—Ukrainian air defence tech company building distributed systems across the frontline. We are looking for a Production ML Researcher / Data Engineer to take ownership of the data and ML infrastructure behind our current and future computer vision products.

Our core value is impact for Ukraine: we build technology that makes a real difference on the actual battlefield, not in labs or on paper specs. We operate with a deep-tech mindset, pushing new technologies where engineering rigor truly matters. We value ownership and responsibility—people who execute, deliver, and stand behind the results.

We especially value engineers with strong analytical thinking and proven problem-solving skills — such as participation in mathematical/programming olympiads or experience contributing to open-source projects.
 

Key Responsibilities

• Build production-grade data collection, labeling, and dataset curation pipelines for CV models
• Design workflows for annotation, quality control, and continuous dataset improvement
• Set up model deployment, experiment tracking, versioning, and monitoring
• Support training and inference pipelines in production environments
• Run experiments with different CV models and approaches, evaluate results, and improve system performance

• Help define the architecture and engineering standards for ML infrastructure across product lines

   

  Requirements:

• Strong background in Machine Learning / Computer Vision
• Hands-on experience building data pipelines for ML systems
• Experience organizing labeling workflows and maintaining dataset quality
• Practical knowledge of model deployment, MLOps, and production ML
• Strong Python skills and experience with PyTorch or similar ML frameworks
• Ability to move between research and engineering: experiment, evaluate, deploy, improve
• Strong analytical thinking and solid foundations in linear algebra, probability, and statistics

• English: B2 or higher (working w/ international team members)

   

  Nice to Have

• Experience in DefenseTech, SigInt, or embedded systems
• Understanding of RF-related data or sensor-driven ML systems
• Experience with real-time or low-latency ML pipelines
• Background in active learning, human-in-the-loop labeling, or continuous retraining workflows

• Open-source contributions or strong олимпиадное / competitive programming background

   

  We Offer

• Meaningful and high-impact work in the AIR defense domain
• Practical R&D environment with real autonomy
• Direct influence on technical decisions and the product direction
• Work in an experienced senior engineering team
• Сlear, fast, senior-to-senior communication with a minimum number of team meetings
• Office in the center of Kyiv (available for onsite work when required)
• Full-time position
• Standard business hours; some tasks may require involvement outside the usual schedule (testing, critical updates)

We’re building something very different at PRAI.

This is not a typical job.

This is a chance to work at the edge of AI, media, and attention economy.

About PRAI

PRAI is an AI platform transforming PR and communications.

We’re building AI Employees — systems that:

• generate content

• run outreach

• replace slow, manual work

Now we’re scaling into AI video content — fast, viral, performance-driven.

If you understand where media is going — you’ll get it.

What you’ll do

• Create viral short-form videos (TikTok / Reels / Shorts)

• Use AI tools:

• Sora (or similar)

• Runway / Pika / Kling

• Build clickbait hooks (first 1–3 seconds = everything)

• Turn ideas into high-converting video flows

• Produce content daily (speed matters more than perfection)

• Test → iterate → scale what works

Work format

• Fully remote

• Full-time

• Startup speed (fast, intense, no hand-holding)

• Performance-driven environment

We use Hubstaff for time tracking — we’re focused on output and accountability.

Who we’re looking for

You’re not “just editing videos”.

You:

• understand attention and psychology

• know what makes content go viral

• can produce a lot, not just “perfect”

• move fast and don’t overthink

Mindset

• speed > perfection

• execution > talking

• no excuses, just results

• test aggressively, drop what doesn’t work

Test task

We may ask you to create:

3 short AI-generated videos

→ strong hook

→ clear flow

→ engagement-focused

Why people want to work with us

• You work with cutting-edge AI tools before most people even understand them

• You build real output, not fake busy work

• You move fast and actually see results

• You’re not stuck in corporate nonsense — only execution matters

• If you’re good, you grow very fast with us

In one sentence

We’re building AI-driven content that people can’t scroll past.

APPLY IF:

You feel this is your environment.

Company website:
prai.us

appflame - Ukrainian product-driven tech company building world-class products: Hily, Taimi, AdConnect, Mailkeeper, and more.

About us:

• 7 years in the market, 500+ team members, offices in Kyiv, London, Limassol, and a co-working hub in Warsaw.

• In 2025, appflame ranked 5th among the top 50 employers in Ukraine according to Forbes and won the “Best Place for Growth” award.

• Our apps Hily and Taimi are among the top 5 dating apps in the US with over 70 million users. AdConnect and Mailkeeper focus on building proprietary B2B and B2C solutions.

Our mission:

• To put Ukrainian-built products on the global map.

Our goals:

• Break into the global top 5 product companies.

• Become a unicorn.

• Make Ukraine a country where unicorns are born.

We’re looking for bold, driven people who are passionate about building real products and dream of launching and scaling great startups. You bring the ambition — we provide the environment to make it happen.

What you’ll do:
 

• Design and develop an AI-powered productivity analytics platform — from data pipeline architecture to the final analytical product that helps teams make data-driven decisions.

• Build scalable LLM pipelines (Claude, GPT): develop data chunking strategies, implement MapReduce approaches for parallel processing of large datasets, and synthesize results into structured reports and insights.

• Create a meta-workflow system where LLMs generate, test, and deploy automation scripts in an isolated environment — with automatic self-correction loops and production deployment without manual intervention.

• Develop system-level prompt engineering: build and maintain a library of prompt templates for various analytical scenarios — from summaries and profiles to deep performance analysis.

• Build an evaluation framework for AI output quality control: hallucination detection, consistency scoring, regression tests — ensuring the product delivers reliable and reproducible results.

• Scale the platform to new domains and analysis types without linear growth in manual effort — through an architecture that allows adding new modules via configuration, not code.

• Document AI architecture, define automation specs, and present product insights to stakeholders and clients.

It’s a match if you have:
 

• 2+ years of experience working with LLMs in production: prompt engineering, pipeline development, API integration — with at least 1 year of hands-on experience with advanced features (tool use, structured outputs, agents).

• Strong Python skills (async, dataclasses, type hints, API integrations) and a commitment to writing clean, testable, and maintainable code.

• Understanding of MapReduce patterns for LLM processing: ability to choose chunking strategies, organize parallel processing, and aggregate results into a cohesive analytical product.

• Experience building agentic systems: tool use, self-correcting loops, multi-agent workflows — and the judgment to know when an agent works better than a rigid pipeline.

• Proficiency in SQL and experience working with analytical databases.

• English at C1 level — comfortable reading documentation, writing technical specs, and communicating asynchronously.

• Ownership mentality: you take tasks end-to-end, debug production issues independently, and iterate to deliver results without micromanagement.

Nice to have:
 

• Experience with orchestration/automation platforms (Windmill, Dagster, Prefect) — understanding how to build reliable automated workflows.

• Knowledge of RAG architectures, vector databases, and embedding pipelines — ability to build systems that work with large volumes of unstructured data.

• Experience building evaluation systems for LLMs (LangSmith, PromptFoo, or custom solutions) — understanding how to measure and improve AI product quality.

• Familiarity with Databricks / Delta Lake or Snowflake — experience working with modern data platforms.

• Experience working at product-driven tech companies or AI startups where you needed to build and iterate quickly.

• Understanding of product team metrics (DAU, retention, unit economics) and the ability to connect technical decisions to product impact.

Preferred tech stack:

Core:

• Languages: Python (primary), SQL

• LLM APIs: Claude API (Anthropic), OpenAI API

• Databases: PostgreSQL, ClickHouse

• Infrastructure: Docker, Git, FastAPI, Pydantic, pytest, asyncio

Nice to have:

• Languages: TypeScript/JavaScript, Bash

• LLM APIs: Google Gemini API

• Orchestration & Automation: Windmill, Dagster, Prefect, Airflow, Temporal

• RAG & Embeddings: LangChain, LlamaIndex, ChromaDB, Pinecone, Weaviate, pgvector, FAISS

• Eval & Observability: LangSmith, PromptFoo, Weights & Biases, Arize AI

• Databases: Redis, MongoDB

• Data Platforms: Databricks, Delta Lake, Snowflake, BigQuery

• Infrastructure: Kubernetes, AWS (Lambda, SQS, S3), GCP

• CI/CD & DevOps: GitLab CI, GitHub Actions, Terraform

Hiring process: recruiter outreach > interview > test task > final interview > job offer.

#vacancy AI Engineer Fintech, remote

Salary: $4000–6000

Requirements:

 • Hands-on experience with LLMs (OpenAI, Claude, LLaMA, or similar)

 • Experience building RAG systems (knowledge bases, embeddings, retrieval)

 • Proven experience delivering AI solutions in production

 • Strong Python skills (FastAPI, async programming, API integrations)

 • Experience integrating AI with databases (PostgreSQL)

 • Experience with message queues (RabbitMQ)

 • Understanding of real-time system architecture

 • Experience with ASR (speech-to-text) and TTS (text-to-speech)

 • Understanding of voice/chat AI pipeline architecture

 • Experience working with APIs and microservices architecture

 • Experience with high-load systems

 • 3+ years of relevant experience

 • Ability to work with business logic and real customer data

Nice to have:

 • Experience building voice bots (inbound / outbound)

 • Background in call centers, fintech, or collections

 • Experience with WebRTC / streaming

 • Docker / Kubernetes experience

 • Experience in call analysis (agent performance evaluation, script compliance)

Responsibilities:

 • Develop AI chat solutions working with real customer data (CRM, history, statuses)

 • Build and maintain RAG systems based on company knowledge bases

 • Develop voice AI bots (inbound and outbound calls)

 • Integrate AI solutions with internal systems (CRM, ERP, APIs)

 • Implement dialogue logic based on business scripts and protocols

 • Analyze calls: transcription, quality assessment, and script deviation detection

 • Automate call center operations and improve agent efficiency

 • Optimize latency and stability of AI solutions in real-time environments

 • Work with large-scale data (calls, chats, customer history)

 • Build and scale internal AI services

 • Collaborate with backend and DevOps teams to integrate AI into products

Backend AI Engineer

[Freelance, Full-time, Remote]

SNEAK PEEK

⇨ Location: Remote, GMT+0/+4

⇨ Interview process: HR Interview ⇨ Technical interview ⇨ Take-home challenge ⇨ Presentation of home challenge 

WHO ARE WE? 

At Rounds, we believe in harnessing the power of cutting-edge technology to drive business success. Our transformative, machine-learning technology identifies and optimizes mobile assets, while our team of experts, with their unparalleled human capital and business acumen, provides the strategic direction and support to turn mobile assets into profitable businesses. Together, we are revolutionizing the mobile industry. You can find out more info about us here: www.rounds.com.

THE ROLE

We’re looking for a passionate AI engineer to join our dynamic AI Innovation Team, which is the driving force behind technological advancement in our company. Here, you will use cutting-edge AI technologies to boost productivity and make extraordinary ideas a reality.

We're excited to meet someone who is AI-obsessed, has a strong sense of product ownership, is ready to take initiative and who is full of creative ideas. If this sounds like you, we want you to join our team!

Hiring manager: Alik Hochner - CTO, Ori Nahum - AI Innovation Team Lead 

KEY RESPONSIBILITIES

• Develop and maintain high-quality AI solutions for both internal teams and external users.
• Architect sophisticated AI agents, including multi-agent systems.
• Design and implement evaluation frameworks to assess AI performance, accuracy, and reliability.
• Collaborate across diverse teams to boost developer productivity.
• Continuously explore the evolving AI landscape and identify impactful tools for company growth.
• Shape the company’s best practices and guidelines for AI usage.

WHAT ARE WE LOOKING FOR?

Must-have:

• 5+ years experience in software development (preferably in Python or TypeScript).
• Skilled in prompt engineering and have a strong understanding of how LLMs work internally.
• Proven track record in developing AI agents from scratch and implementing effective AI solutions for businesses.
• Basic DevOps proficiency (CI/CD, Cloud).
• Quick learner who adapts effortlessly to new tools and approaches.
• Passionate and knowledgeable about current AI trends and best practices.
• Excellent English communication skills.

HOW DO WE WORK?

We are a distributed team of more than 150 people, all working remotely and communicating partially synchronously (we usually overlap with our teams for 5 hours daily and are free to work on some of the tasks whenever it suits us best). We value open communication, proactivity and work/life balance and we measure our freelancers on performance, rather than on the time spent on the job.

WHAT’S IN IT FOR YOU? 

• 100% remote work model
• Flexible full-time working hours 

INTERESTED?

Our recruitment process consists of the following steps: 

• HR interview with the recruitment manager: 45 min
• Technical interview with the AI Engineer Tech Lead: 1 hour
• Take-home challenge: ~ 4 hours of work
• Final Interview and Take-home challenge presentation with CTO and AI Engineer Tech Lead: 1 hour

We are looking for an AI/ML Engineer to join our outsourcing team, working on projects within different domains. The role involves contributing to AI/ML solutions that enhance process automation, data processing, and analytics.
 

Responsibilities

• Maintain and enhance existing AI/ML solutions used in automation workflows.
• Design, develop, and deploy new AI/ML models to meet project needs and improve operational efficiency.
• Monitor advancements in the AI/ML field, evaluate new techniques, and provide recommendations on potential improvements.
• Analyze infrastructure and model-related costs, propose optimizations, and assist in forecasting costs for new implementations.
• Prepare and present demos and solution overviews to U.S.-based clients.
• Collaborate with cross-functional teams to ensure smooth integration of AI/ML solutions.
• Document models, processes, and system architecture in Confluence to support maintainability and knowledge transfer.
• Participate in model monitoring and performance evaluation to ensure accuracy, reliability, and alignment with business requirements.

Requirements

• 2+ years of experience in AI/ML or a related field.
• Experience building ML models for batch and/or real-time processing, or experience integrating LLM-based solutions.
• Strong knowledge of Python or JavaScript for machine learning and data science.
• Experience with Jupyter Notebooks, NumPy/SciPy, pandas, scikit-learn, TensorFlow/PyTorch, or GPT-model integrations.
• Understanding of NLP and Computer Vision techniques (traditional and deep learning).
• Good understanding of data engineering, database management, and cloud-based ML infrastructure.
• Experience with AWS services (Athena, S3, Lambda, Kinesis, Glue, SageMaker, Data Pipelines, Data Stores).
• Familiarity with CI/CD practices.
• Ability to optimize algorithms for real-time or low-latency environments.
• Strong knowledge of model training, optimization, and selecting the best approaches for specific use cases.
• Experience deploying AI models to production environments is a plus.

What We Offer

• Competitive salary with regular reviews.
• Support for individual entrepreneurs with accounting assistance.
• Fully remote work.
• A clear path for professional development and growth.
• A friendly team environment and engaging team-building activities (online and offline).

Atlas Technica’s mission is to shoulder IT management, user support, and cybersecurity for our clients, who are hedge funds and other investment firms. Founded in 2016, we have grown 100% year over year through our uncompromising focus on service.

We value ownership, execution, growth, intelligence, and camaraderie. We are looking for people who share our Core Values, thrive, and contribute to this environment while putting the customer first. At Atlas Technica, we offer a competitive salary, comprehensive benefits, and great perks to our global Team. We strive to maintain a professional yet friendly environment while promoting professional and career development for our Team Members. Join Atlas Technica now!

Design and deploy intelligent chatbots using Foundry Workflows, Microsoft Agent Framework, OpenAI. Build and operate multi-agent orchestration pipelines with Azure AI Foundry and Model Context Protocol (MCP). Integrate AI with enterprise systems via RESTful APIs, ensuring compliance with security and privacy standards. Stay current with LLM advancements, collaborate across teams, and mentor junior engineers.

Responsibilities:

AI Agent & Chatbot Development

• Design, build, and deploy intelligent conversational agents using Foundry Workflows, Microsoft Agent Framework, OpenAI.
• Develop prompt strategies and manage datasets to support context-aware, multi-turn dialogue and accurate responses.
• Conduct rapid prototyping to validate technical feasibility and demonstrate business value of AI-driven solutions.
• Design agentic loops with task decomposition, state passing between agents, and workflow enforcement for multi-step ticket resolution.

• Implement structured error responses and graceful degradation in agent tool calls, including timeout handling, retry logic, and fallback cascades.

   

Data & Model Engineering

• Build and maintain data ingestion and indexing pipelines for Azure AI Search and Cosmos DB.

• Evaluate and optimize AI system performance for accuracy, scalability, latency, and cost-efficiency.

   

System Integration & Architecture

• Architect and implement integration between AI and enterprise systems (e.g., ConnectWise PSA, Confluence, etc.) using RESTful APIs.
• Implement and maintain MCP servers (Model Context Protocol) for secure, typed tool integration between AI agents and enterprise APIs.
• Deploy containerized services to Azure using multi-stage builds and Azure Pipelines CI/CD.
• Security, Compliance & Governance
• Ensure AI systems comply with data privacy regulations (e.g., GDPR) and enterprise-grade security standards.

• Implement access controls, data encryption, and audit logging for sensitive AI workflows.

   

Research & Innovation

• Stay current with evolving LLM technologies, frameworks and methodologies.

• Evaluate emerging tools and techniques to continuously improve solution quality and delivery speed.

   

Collaboration & Leadership

• Work closely with cross-functional teams to interpret business requirements and recommend LLM-driven solutions.
• Contribute to technical and architectural decisions, ensuring alignment with strategic goals.

• Mentor junior engineers and support knowledge sharing across the team.

   

Operational Excellence

• Take ownership of incident resolution, and bug fixes.
• Create and maintain technical documentation for AI systems, models, and integration workflows.

Requirements:

• English level — B2 or higher
• 5+ years of experience in AI engineering and .NET software development (.NET 10, ASP.NET Core/WebAPI, C#) with frontend experience in React 19 / Next.js 15 / TypeScript, with a focus on Azure-based solutions.
• Experience building intelligent chatbots and autonomous agents (Agentic AI) that perform real actions, plan, reason, and act with minimal human input; familiar with multi-agent orchestration and agent memory.
• Strong expertise in embeddings, search, and prompt engineering.
• Strong understanding of large language models (LLMs), their limitations, and modern capabilities (e.g., GPT, Claude, Gemini).
• Hands-on experience with Azure AI services (Azure AI Foundry, Azure OpenAI, Azure AI Search) and hands-on experience with MCP or similar protocols for secure, scalable integration between AI agents and enterprise systems.
• Familiarity with multi-agent orchestration patterns: coordinator-subagent workflows, maker-checker validation, signal-based confidence scoring, and context preservation across multi-turn interactions.
• Experience designing prompts with explicit evaluation criteria, few-shot techniques, structured output via JSON schemas, and validation/retry loops for reliable LLM responses.
• Awareness of AI-specific security concerns: PII handling, data boundary enforcement, prompt injection prevention, and compliance considerations (e.g., GDPR).

• Ability to write clean, maintainable, and testable code following SOLID principles and Clean Architecture patterns.

   

Desirable Qualities:

• Understanding of AI solution architecture patterns: LLM gateway/service layer, retrieval layer, orchestration/agent layer, and evaluation/observability layer.
• Experience testing AI-enabled components using deterministic seams (mocked LLM clients, retrievers, tools), scenario-based tests, and regression/evaluation datasets for non-deterministic outputs.
• Understanding of retrieval systems (keyword search, vector search, embeddings) and ranking algorithms
• Familiarity with AI/ML versioning practices: prompt version control with semantic tagging, evaluation baseline tracking, dataset versioning, experiment reproducibility.
• Familiarity with deploying, monitoring, and maintaining ML models in production environments.
• Experience with Azure Cosmos DB, Azure Container Apps, Docker containerization
• Familiarity with CI/CD pipelines and DevOps practices.
• AI-102
• Experience with Application Insights telemetry, distributed tracing.
• Prior experience integrating AI agents with enterprise platforms like ConnectWise PSA, Confluence, SPO, etc.

Atlas Technica is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

We are looking for a Founding Engineer to join a fast-growing start-up developing a product for automated lead generation and recruitment outreach.  

Responsibilities: 

- 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.

Requirements: 

- 1+ years of experience in a SaaS/startup previously. 

- Senior-level engineer with 5+ years of software development experience. 
- Experience in RAG & AI agents development and prompt engineering.
- API development and integration experience.
- Database design and optimization (SQL).
- Development in cloud infrastructure (AWS/GCP/Azure).
- Patterns for asynchronous task processing (RabbitMQ, SQS, or similar).
- Experience with n8n/make will be a great plus.

- Authentic obsession with giving customers the best.
- Excellent verbal communication skills.

- Excellent English, strong B2 level minimum.

Job details:

• Full-time.
• Fully remote.
• Long-term.
• B2B contract.
• Start date — ideally ASAP / by mid-April.
• Also, you will get founding member equity % in addition to your fixed salary.

What else will you get:

- 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.

- You will work with the most modern toolset (including Cursor in Agent mode).

The hiring process: 

• 45 min pre-screen interview with a recruitment manager
• 15-30 min call with the client
• a technical deep-dive interview, most likely with online coding (conducted by client)
• online call with the team or key team members

Remote | Full-Time | US Eastern Time (ET)

Working hours: aligned with US Eastern Time (ET)

About the Role

We’re looking for a developer who’s excited about the future of AI-driven development.

This role is built around Vibe Coding — a modern approach where you collaborate with AI tools to design, build, and ship applications faster than traditional development allows. Instead of writing everything manually, you guide AI, shape outputs, and focus on delivering real products.

If you enjoy thinking in systems, making smart architectural decisions, and using AI as a true coding partner — this role is for you.

Your Responsibilities

• Design and build production-level AI-powered applications
• Work deeply with AI coding tools and prompt engineering
• Quickly transform client requirements into working prototypes
• Iterate fast and deliver results (not just code)
• Collaborate with modern conversational AI platforms
• Work closely with a fast-paced, talented team
• Support and mentor junior developers

Requirements

• 2+ years of commercial software development experience
• Degree in Computer Science or equivalent practical experience
• Strong understanding of system design and architecture
• Ability to review, debug, and improve AI-generated code
• High level of independence and self-management
• Strong spoken English (working with US & Israel clients)

Nice to Have

• Experience with modern frameworks (React, Vue.js, Next.js)
• Full-stack development background
• Experience with AI tools (Cursor, Claude, GitHub Copilot, etc.)
• Russian language

Work Setup

• Full-time, remote
• Monday–Friday
• 9:00 AM – 6:00 PM (US Eastern Time)
• Must be available during US business hours

What We Offer

• Access to cutting-edge AI tools (Cursor, Claude, n8n, Lovable, etc.)
• Real client projects from day one
• Clear growth path (IC → Senior)
• Udemy courses access
• Young, modern, fast-moving team

Hiring Process

• 1 interview only

How to Apply

Send your CV + expected compensation and tell us:

• What drives you
• Why AI excites you

Fully Remote · Full-time

About Us

We're a product company building AI-powered solutions for international markets. The team is lean and fast-moving — we don't wait months to make decisions, we test, analyze, and scale what works. We're looking for someone who naturally fits this pace.

The Role

This position is for someone who measures their work in click-through rates and conversions, not portfolio views. You'll be a full member of the growth team — from concept to launch to performance analysis.

Responsibilities

• Produce video ads and static banners for Meta, TikTok, YouTube, and Google with a clear focus on conversion.
• Generate several fundamentally different creative concepts every week — not variations of the same idea.
• Research competitor ads, identify strong mechanics, and turn them into even more effective versions.
• Create UGC-style videos that blend naturally into the feed and don't feel like ads.
• Build your workflow around AI — generation, editing, voiceover, characters — as a standard, not an exception.
• Launch hypotheses, read the data, adjust your approach, and repeat the cycle.
• Occasionally contribute to landing page and presentation design for the product.

Requirements

• Solid understanding of performance metrics — CTR, hook rate, ROAS, scroll-stop rate — and how to influence them through design and video structure.
• Hands-on experience with video advertising: you know how to grab attention in the first 2 seconds and hold it through to the CTA.
• Confident use of AI tools for image generation, video production, and voice content.
• Ability to develop a concept from scratch with minimal briefing — high autonomy is expected.
• Comfortable maintaining a high production volume without sacrificing quality.

Tech Stack

Required:

• Video generation: Runway, Pika, ByteDance Video Tools (ModelArk / Seedream)
• Image generation: Midjourney, Stable Diffusion
• Editing: CapCut, Premiere Pro, After Effects
• Characters & effects: NanBanana, face swap, lip-sync tools

Nice to have:

• AI avatars: HeyGen, Synthesia, D-ID
• Voice: ElevenLabs
• Any tools for scalable UGC production

What We Offer

• Salary: $1,500 – $2,500/month depending on experience and results
• Performance bonuses tied to real metrics, not just effort
• Fully remote or hybrid — your choice
• Full access to the required AI tool stack, covered by the company
• Clear growth path to Lead Creative or Head of Creative

Test Assignment

Instead of a standard screening process, we'd like to see how you think and work:

• Three banner concepts for a single offer: one through pain point, one through benefit, one through curiosity or an unexpected angle.
• One video up to 30 seconds — UGC or native ad format.
• A brief description of your workflow: which tools you used and why.

We evaluate: hook strength, message clarity, and conversion potential. Visual polish is secondary.

How to Apply

Send your completed test assignment along with a few lines about yourself. If you'd like a more detailed brief before starting — just ask, we'll provide one.

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries. 

About the Product: 
Over the past few years Coro has received $175M in funding and is one of the fastest growing Cybersecurity companies in the world. The funding is primarily being used to enhance the Coro Cybersecurity SaaS platform and for additional headcount growth, as Coro continues to expand globally.   

Coro started in Tel-Aviv, Israel and is also headquartered in Chicago, IL with additional offices in New York, London, and remotely across the globe. As a global organization, Coro gives you the ability to work with people and teammates from around the world. 

Coro’s AI enabled Modular Cybersecurity Platform is the only one in the industry specifically designed to provide Mid-Market customers with scalable and affordable “enterprise grade” protection for all of their priority threat vectors. 

About the Role: 
This is a principal-level AI engineering role focused on driving the next generation of AI adoption across Coro — both within the product and across the organization.

You will take ownership of AI-driven initiatives end-to-end, shaping how engineering teams build, ship, and scale software using LLMs, agents, and intelligent tooling. The role is not about day-to-day coding, but about defining architecture, building workflows, and delivering impactful AI solutions that improve developer productivity and system quality.

You will work closely with DevEx, Core Engineering, Product, and R&D, helping standardize and scale AI usage across teams — moving from ad-hoc usage to a structured, high-impact AI-driven environment.

If you are looking for a role where you can combine technical leadership, ownership, and innovation, and influence how a global engineering organization adopts AI — this is the role for you.

Key Responsibilities: 

•  Build a shared vision with DevEx and Core Engineering leadership for AI-driven developer tooling, supporting development by prototyping agents and workflows while serving as a subject matter expert for internal R&D efficiency
• Work closely with Product and R&D stakeholders, taking full responsibility and ownership from conception to post-deployment of AI tools that automate and optimize the daily work of engineering teams
• Work in a modern CI/CD environment with a team of highly skilled developers, leveraging LLMs and agentic frameworks to redefine and improve the developer experience
• Spearhead the development of new internal features and AI agents — from automated code review to intelligent debugging tools — while owning the full development lifecycle
• Contribute to the overall technical strategy and roadmap of the internal platform, driving initiatives that use AI to improve developer velocity, code quality, and system reliability
• Promote a culture of innovation and continuous growth, encouraging the exploration of emerging AI technologies to solve complex engineering bottlenecks

• Continuously monitor developer feedback and internal productivity metrics to identify opportunities for optimization and further tool refinement

   

Our Stack: Java (Spring-based microservices), Golang, and Python services, running on Kubernetes (AWS EKS). We use Redis, MongoDB, SQL, OpenSearch, RabbitMQ,  AWS Lambda and additional cloud-native technologies. We encourage engineers to stay current with industry trends and emerging technologies to continuously evolve our platform

Required Competence and Skills:

• Proven experience working with AI/LLMs, agents, or AI-driven workflows in production environments
• 7+ years of experience building complex web applications and scalable backend systems
• Strong background in platform engineering, developer productivity, or internal tooling
• Ability to work closely with engineers, R&D leaders, and cross-functional stakeholders to define productivity goals and design AI-driven solutions
• Strong product and engineering judgment, with a clear understanding of how to build internal tools that create a smooth and frictionless developer experience
• Strong focus on quality, simplicity, and maintainability when designing solutions for complex engineering problems
• Hands-on experience with LLMs, automation, and AI-driven workflows, combined with an analytical, curious, and data-driven mindset
• Experience implementing AI solutions at an organizational level (not only in isolated projects)
• Strong collaboration and communication skills, with empathy for the challenges faced by modern engineering teams

Nice to have:

• Technical leadership experience in roles such as Architect, Tech Lead, or similar, especially in platform engineering or developer productivity areas
• A degree in Computer Science or a related field is a plus, but we are also open to exceptional candidates with strong practical experience

Why Us?

We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

We provide full accounting and legal support in all countries we operate.

We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

We offer a highly competitive package with yearly performance and compensation reviews.

Impressit is looking for a Platform Engineer (Databricks Administration & Data Governance) to join a cross-functional Data Platform team.

This role focuses on enabling analytics and AI teams to build efficiently and securely on a shared Databricks platform. You will be responsible for defining and enforcing platform standards, ensuring data quality, governance, and cost efficiency across the organization.

This is a highly impactful role where you will act as the technical owner of platform guardrails, access models, and operational stability, helping scale the platform across multiple business domains.

Candidate must be located in Portugal or Spain.

What do we expect?

— 5+ years of experience in Data Engineering or Platform Engineering, including hands-on Databricks administration
— Strong expertise in Databricks ecosystem (Unity Catalog, cluster policies, Delta Lake, Spark, jobs, workspace configuration)
— Solid understanding of data governance principles, including data modeling, ingestion frameworks, schema enforcement, lineage, and versioning
— Proven experience implementing access control models (RBAC, ABAC) in Databricks or similar platforms
— Experience with cost management, monitoring, billing analysis, and compute optimization
— Strong Python (PySpark) and SQL skills
— Experience working with data pipelines and orchestration tools (e.g., DLT, Airflow, Databricks Workflows)
— Ability to define standards, enforce best practices, and influence engineering teams
— Strong communication and collaboration skills

What will you do?

— Administer and optimize Databricks workspaces, clusters, jobs, and platform configurations
— Define and enforce platform-wide data governance standards, including ingestion patterns, naming conventions, and schema rules
— Implement and maintain secure access controls, including RBAC, ABAC, and fine-grained data policies
— Establish and monitor data quality, lineage, and compliance across pipelines
— Review and approve data pipelines to ensure alignment with platform standards
— Implement cost control mechanisms, including alerts, compute policies, and usage monitoring
— Analyze platform usage and proactively identify cost optimization opportunities
— Ensure platform reliability through CI/CD practices, automated checks, and governance controls
— Build and maintain dashboards for observability (costs, pipeline health, access, schema drift)
— Troubleshoot platform issues and continuously improve stability and guardrails
— Enable and guide data teams by providing best practices, templates, and documentation

As a plus:

— Experience with large-scale cloud data platforms (Azure, AWS, or GCP)
— Background in trading, supply, or other data-intensive domains
— Experience building governance, cost, or operational dashboards
— Familiarity with CI/CD tools (GitHub Actions, Azure DevOps, etc.)

Are you a Data Scientist with a love of LLMs, generative AI?

We are looking for a passionate Data Scientist to implement AI solutions aimed at achieving business goals.

This role offers the opportunity to work on cutting-edge AI adoption projects that helps to improve current business processes.

Skills requirements:
• Strong Python Experience (2 year +);
• Experience with LLM , Diffusion models;
• Knowledge of Prompt engineering;
• Experience with Gen AI-related technologies such as LangChain and RAG;
• Experience with Neural Networks (Optional) ;
• Experience with NLP , Predictive analytics and Machine learning;
• Experience with Pandas;
• Experience with SQL, including experience with large datasets;
• Strong experience in statistics;

Key responsibilities:
• Develop AI agents that utilize LLM, RAG and langchain approach;
• Implement LLM and Diffusion models to boost business productivity;
• Utilize LLM (LLM Vision) to improve object detection, text classification and extraction;
• Create forecasting, recommendation, and classification models;
• Transform business challenges to AI applications;

We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary nominated in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

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

We are now launching our next growth engine — AI-powered, automated, and data-driven.
This role is not about coordination. We are looking for a builder who will own and develop our end-to-end Outreach & GTM Engine.

Key Requirements:
🔹 2+ years of experience in SDR, Growth, RevOps, GTM, or Marketing roles;
🔹 Strong hands-on CRM experience (HubSpot / Monday — customization and workflow building);
🔹 Experience with automation tools (n8n, Zapier, Make, Clay, etc.);
🔹 Experience working with LLM workflows and AI tools (ChatGPT, Claude Code, etc.);
🔹 Builder mindset — able to ship fast;
🔹 High ownership and accountability;
🔹 Strong analytical thinking;
🔹 Clear communication skills;
🔹 Comfortable in a fast-paced scale-up environment;
🔹 Systems thinker, not just a task executor;
🔹 English — Upper-Intermediate or higher;
🔹 Experience in the tech outsourcing / R&D services industry;

Will be plus:
🔹 Experience building GTM systems from 0 → 1;

What you will do:
🔹 Build and optimize outbound and SDR automation systems;
🔹 Architect end-to-end CRM and GTM workflows (HubSpot / Monday);
🔹 Design and deploy AI agents for research, personalization, and qualification;
🔹 Improve funnel conversion rates and pipeline predictability;
🔹 Align GTM insights with Recruiting teams;
🔹 Drive measurable impact: more qualified meetings, lower cost per meeting, predictable pipeline growth;

Role Description

Parallel is a technology company building advanced 3D imaging and aesthetic visualization software for modern clinics. Using breakthroughs in artificial intelligence, computer vision, and 3D modeling, our technology enables highly realistic facial and body reconstructions and visualizations of potential aesthetic procedure outcomes.

We work with forward-thinking aesthetic clinics and practitioners to improve patient understanding, strengthen trust during consultations, and help practices communicate treatment possibilities more clearly.

Our platform is designed not only to elevate the patient experience, but also to drive real business outcomes for clinics—helping them increase conversion, stand out in a competitive market, and modernize the consultation journey.

As we continue to grow, we are focused on building category-defining technology with a strong emphasis on execution, product quality, and measurable impact. We care deeply about innovation, speed, and building tools that create meaningful value for both clinics and patients.

The opportunity

Parallel is growing quickly, and we are building new products that require exceptional talent. We are looking for a Junior Deep Learning Engineer to join our team. In this role, you will work closely with engineers and product teams in a highly creative, fast-moving, and international environment.

The team

We are a product-driven engineering team focused on building ambitious technology for the future of aesthetic medicine. At Parallel, we care about strong execution, technical depth, and creating an environment where talented people can do their best work.

The role

We are looking for a junior engineer to join our Deep Learning team. You will work across the full model development lifecycle, from data generation and preprocessing to model training, experimentation, evaluation, and deployment into production.

This is a strong fit for someone who wants to grow into an engineer who can bridge research and product engineering—someone who can read a paper, understand the core idea, and help turn it into production-ready systems.

Essential requirements

• Degree in Computer Science, Engineering, Data Science, Mathematics, Physics, or another quantitative field with strong analytical foundations
• Strong understanding of deep learning fundamentals, including optimization, loss functions, backpropagation, overfitting, and regularization
• Proficiency in Python and hands-on experience with PyTorch or another major deep learning framework
• Solid engineering fundamentals, including Git, GitHub, pull requests, code reviews, command line tools, and general software development workflows
• Ability and willingness to read, understand, and implement ideas from academic research papers

Nice to have

• Experience with computer vision tasks such as image classification, segmentation, landmark detection, or related areas
• Experience with 3D reconstruction, parametric models, neural rendering, NeRFs, or Gaussian splatting
• Experience with generative models, including training, fine-tuning, or inference with diffusion models, GANs, or VAEs
• Exposure to ML infrastructure, deployment, MLOps, model serving, containerization, or CI/CD workflows for machine learning

What we offer

At Parallel, you will have the opportunity to work on technically ambitious products at the intersection of AI, 3D visualization, and aesthetic medicine. We offer a fast-paced environment, meaningful ownership, and the chance to help shape products from an early stage.

We care about helping great people grow, and we aim to provide strong mentorship, real responsibility, and an environment where learning happens quickly.

Work style

We believe flexibility matters. Depending on the role, team, and location, we support remote, hybrid, and in-person work arrangements. Our goal is to help people do their best work while maintaining a healthy and sustainable balance.