Jobs AI

We are looking for a Middle/Senior ML Engineer to turn loosely framed business problems into reliable, actionable models for a proprietary trading platform that connects traders with funding opportunities. You will work in a high-load, low-latency environment processing millions of events in real time, taking ownership from problem framing and feature engineering through model testing and business-ready results.

Required for this role

• Solid grounding in machine learning theory, with the ability to explain and justify modeling decisions beyond library calls.
• Hands-on experience with Python, NumPy, SciPy, Pandas, and Scikit-learn.
• Experience working with PySpark, including MLlib, for data processing and machine learning.
• Practical experience with XGBoost or other gradient boosting methods (GBM).
• Understanding of logistic regression and its practical application to business problems.
• Experience with survival analysis or time-to-event modeling.
• Knowledge of hierarchical modeling methods and when to apply them.
• Experience using MLflow or comparable experiment and model tracking tools.
• Ability to independently frame a problem from rough context, engineer features, build and test models, and translate results into actions the business can use.
• Strong communication and comfort with ambiguity, including asking questions and flagging unclear assumptions early.

Nice to have

• Familiarity with Microsoft Fabric.

Your responsibilities

• Take loosely framed business problems and develop appropriate ML solutions from scratch.
• Explore data, test hypotheses, and iterate on potential approaches in notebooks.
• Engineer features and build models using gradient boosting, logistic regression, survival analysis, or hierarchical methods, depending on the problem.
• Select rigorous, relevant evaluation metrics based on the business objective and modeling approach.
• Validate whether models hold up against the available data and intended use case.
• Translate experimental findings and model results into clear, actionable outcomes for the business.
• Challenge problem framing when assumptions do not hold, and communicate questions, risks, or blockers early.

What you get

Your time off

• 18 paid vacation days and 10 paid sick days annually
• 10 Ukrainian public holidays
• Maternity and paternity leaves
• Marriage and Parenthood Package
• Additional leave for major life events
• Sabbatical leave opportunities

Learning & growth

• Sombra University workshops and internal learning programs
• Tech Communities and knowledge sharing sessions
• Language courses and workshops
• Mentorship opportunities

Health & well-being

• Sports compensation or health insurance coverage
• Participation in races and marathons
• Corporate doctor (telemedicine)
• Well-being initiatives and workshops

And even more

• Company-provided technical equipment
• PE administration and tax support
• Internal referral program
• IT Club loyalty program
• Company events and volunteering initiatives

Before you apply

Our recruitment team will carefully review your profile, and if we see a good match with the role, we’ll reach out to you shortly.

If you don’t hear from us within 5 business days, it means we’ve decided to continue the process with other candidates for this position. Thanks for understanding.

Brief introduction
You will build production RAG and LLM systems that read real documents and run inside enterprise ERP and finance stacks.

This is a solo, end-to-end role. You join client calls, design the architecture, then build the important parts yourself. Our core stack is Python, Django, Angular and RAG. Ukraine/EU hours.

About us

Deploy Staff automates the manual work large enterprises run on: finance, operations, customer service, reporting. We build complex systems for clients in the US and UAE (currently primarily UAE), centered on production RAG and LLM workflows that read real documents and integrate with real ERP and finance systems.

Despite the name, we don't place engineers into other people's teams. We are not an outstaff company. We own the solutions we build end to end, and so will you.

The role

Solo and end to end. You are the engineer on your projects: there is no development team, and the technical work is yours from discovery through production support.

You sit in on client calls with the project manager, understand the business problem, design the architecture, then open the codebase and build it yourself. The PM runs the relationship and the commercial side. You own the system.

Solo does not mean isolated. You have direct access to the people making decisions, and we talk architecture through with you before you commit to it. After that the code is yours to write and merge. Part of the job is judgement about which calls are yours and which should come back to us, and we would rather be asked than surprised.

If you have spent recent years distributing work and reviewing it, this will feel like a step backwards. If you have spent them wishing there were fewer people between you and the problem, it will not.

What we expect

Our core stack is Python, Django, Angular and RAG/LLM-based workflows. That is what we need you to already be good at.

Core

• Production LLM work: RAG (retrieval design, chunking, evaluation), document processing, structured extraction or agentic workflows. Shipped and operated by you, through the parts that only show up after real users arrive
• Strong Python with Django or DRF, and PostgreSQL data models you can design and debug in production
• Angular and TypeScript. You own the frontend of what you build, so you need to be able to ship a feature through it without waiting for anyone
• Advanced English (C1). You will question senior stakeholders directly and explain a decision a second way when the first one does not land

Also part of the work

You will hit all of this. We do not expect equal depth in every line, and we do expect you to pick up what you are missing.

• Celery, Redis, queues and asynchronous processing
• Enterprise integration: ERP, finance, CRM systems and their APIs
• Cloud infrastructure, deployment, observability and security. AWS, GCP, Kubernetes, Docker
• Reading an existing system before changing it, and keeping what already works

What matters more than the CV

What you personally built, what you personally decided, and what happened when it broke. If your strongest examples are systems your team implemented while you supervised, this is not the right fit.

How we work

Remote, with working hours aligned to the Ukraine time zone.
Small team, direct access to decision makers, real operational problems. You get problems to solve rather than specs to implement.

Interview

1. Introductory interview.

2. Technical interview with us.

3. Test task.

4. Offer.
Interviews are recorded and shared only within the hiring team, so decisions are made on what you actually said rather than someone's notes.

Repeating once again - our core stack is Python, Django, Angular and RAG! We cannot compromise on any of these. If one of those isn't present or barely used - this is an immediate mismatch!

Requirements:
— Experience in IT( MUST HAVE), preferably in outsourcing.
— Experience with marketing for international markets, preferably US / EU.
— Experience with LinkedIn and creating content for a B2B audience.
— Ability to research target markets, industries, companies and potential customers.
— Experience with running marketing campaigns and checking their results.
— Ability to create different types of content: LinkedIn posts, articles, case studies, landing pages, presentations, one-pagers and sales materials.
— Experience working with website content.
— Experience with email marketing / newsletter campaigns is a plus, or willingness to learn quickly
— Ability to work closely with Sales / Business Development and understand what marketing support they need.
— Strong research and information-gathering skills
— Proactive and independent approach — able to see what needs to be done and take it forward without constant supervision
— Upper-Intermediate level of English

Role Responsibilities:

— Plan and run marketing activities based on company and sales goals.
— Work with the Sales team on lead generation and finding new business opportunities.
— Research target markets, industries, companies and potential customers.
— Create and manage content for LinkedIn and other relevant channels.
— Prepare case studies, success stories, presentations, one-pagers and other materials for Sales.
— Support LinkedIn and outbound campaigns with content, research and ideas.
— Manage and update website content and landing pages.
— Test new channels, content formats and marketing ideas.

Hiring Stages: HR Interview, Technical Interview

Summary

• Senior AI/ML Engineer with extensive experience deploying machine learning models on cloud platforms including GCP, AWS, and Azure.
• Experienced in Python and ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
• CI/CD pipelines and managing ML workflows: Kubeflow and VertexAI.
• Background in data processing with Apache Beam/Dataflow and expertise in model monitoring, performance optimization, and scaling.
• Ability to collaborate cross-functionally to deliver AI-driven solutions in production environments.

Location: Poland, Romania, Bulgaria, Czech Republic, Slovakia.

• Location: Poland - B2B Only
• Romania - COE or B2B,
• Bulgaria: COE / B2B,
• Czech Republic - CEO
• Slovakia - COE

Role Overview:

The Senior Artificial Intelligence/Machine Learning Engineer is a key member of the MLOps team within a cross-functional development environment. This role involves close collaboration with data scientists, software engineers, and other stakeholders to operationalize machine learning models by deploying, maintaining, and monitoring them efficiently in production. The engineer contributes to enhancing model performance and infrastructure, supporting AI-driven solutions that address complex business challenges.

Responsibilities:

• Model Deployment: Collaborate with data scientists to transition machine learning models from development to production, ensuring high performance and scalability.
• Build Pipelines: Develop and maintain data and model pipelines that integrate seamlessly with existing systems to support reliable and efficient workflows.
• CI/CD for ML: Design and implement continuous integration and delivery pipelines to streamline the deployment process of machine learning models.
• Model Monitoring: Monitor the performance of deployed machine learning models to ensure reliability, scalability, and quality over time.
• Collaboration: Work with cross-functional teams to design solutions that meet business needs while adhering to best practices in machine learning and software engineering.
• Optimization: Continuously improve infrastructure to maintain cutting-edge AI model production and delivery capabilities.

Technologies and Tools:

• Cloud platforms: Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure
• CI/CD tools: GitHub Actions, Docker
• ML platforms/frameworks: VertexAI (Enterprise Agent Platform), Kubeflow, SageMaker
• Data processing frameworks: Apache Beam, Dataflow (highly desirable)
• Programming languages and libraries: Python, TensorFlow, PyTorch, scikit-learn

Key Skills and Competencies:

• Strong foundation in both machine learning and software engineering
• Experience deploying machine learning models in production environments
• Expertise in building and maintaining CI/CD pipelines for ML
• Knowledge of monitoring and maintaining models post-deployment
• Problem-solving and troubleshooting skills related to models and pipelines
• Performance and cost optimization experience (e.g., latency, throughput) is highly desirable
• Excellent communication skills for effective cross-team collaboration

Technologies: Cloud platforms (GCP, AWS, Azure), VertexAI, Kubeflow, SageMaker, Python, TensorFlow, PyTorch, scikit-learn, Apache Beam, Dataflow, Docker, CI/CD, GitHub Actions.

We’re looking for a brilliant Deep Learning & Computer Vision engineer to join our Algorithms group.
 

What will you do?

• Be a researcher of the core deep learning algorithms and communicate with other researchers.
• Design and implement advanced algorithms to solve complex problems.
• Developing the next generation algorithms including different CNN architectures, CV algorithms and algorithms that utilize Physics in complex environment.

Requirements

• At least 5 years’ experience as a researcher and development of deployed models.
• Strong understanding in deep-learning algorithms and computer vision.
• M.Sc. in computer science, or very experienced BSc Degree Guide 2025 — Online BSc Courses & Programs . or Engineering, or a related technical field.
• Experience in Python & PyTorch or other machine learning frameworks and mathematical modelling.
• Good communication skills, self-motivated, proactive, flexible and passionate about learning.
• Focused on end-to-end delivery of solutions for real world scenario in challenging timeframe.

We are looking for an experienced AI Video Creator who specializes in Higgsfield and can produce realistic videos with the visual quality and storytelling of a professional film.

Our product is a new messenger focused on real people, shared interests and meaningful connections. We want to create emotional, realistic scenes with recurring characters, consistent locations and a cinematic visual style.

What we need

• One high-quality cinematic advertising film for our website and marketing campaigns
• Short vertical videos for Instagram, Facebook and other social media platforms every week
• Realistic scenes featuring people in everyday situations
• Strong hooks, emotional storytelling and professional advertising concepts
• Consistent characters, clothing, locations and visual style across multiple scenes
• Professional editing, sound design, transitions and effects

Your experience

• Excellent practical knowledge of Higgsfield
• You have completed the relevant Higgsfield courses and understand its advanced features and workflows
• Strong experience in AI video generation and professional prompting
• Several completed cinematic AI videos or advertising projects
• Good understanding of filmmaking, camera movement, composition, lighting, continuity and visual storytelling
• Experience with additional AI video, image, editing or voice tools is an advantage
• Ability to create realistic people without typical AI artifacts
• Reliable communication and the ability to deliver content regularly

Please send us

• Links to your best AI-generated videos
• Examples created specifically with Higgsfield
• A short explanation of which parts you created yourself
• Information about your Higgsfield training and completed courses
• A description of your usual workflow and the tools you use
• Your price/ salary expection
• Your expected production time and weekly availability

Please apply only if you can provide several relevant video references. We are looking for someone who does not simply generate individual clips, but can create a coherent, emotional and visually convincing film from beginning to end.

This can become a long-term collaboration if the first project is successful.

!This vacancy requires office attendance in Kyiv

Responsibilities:

• Develop and maintain a high-load, mobile-first React SPA within a micro-frontend architecture
• Collaborate closely with product, design, and other engineering teams to translate product and technical needs into shipped features
• Drive your features from development to production (shift-left): validate your changes on staging and pre-prod, run automated tests, and release them autonomously
• Proactively lead improvements and tuning of existing solutions
• Share expertise and knowledge with your teammates through reviews and pairing

Requirements:

• At least 7 years of commercial experience in JavaScript (ES6+) / TypeScript, including a minimum of 2 years working in a product company / product-focused environment
• At least 5 years of commercial experience with React (hooks)
• Strong experience with state management using Redux, Redux Toolkit and Zustand
• Hands-on experience with build tooling 
• Webpack and/or Vite
• Strong knowledge of modern CSS, semantic HTML and SASS/SCSS

• Intermediate English or higher

   

   

  Nice to have

• Experience with micro-frontend architecture (Module Federation)
• Experience building and optimizing high-load / high-traffic applications
• Experience writing automated tests with Playwright

What we offer:

• International company with several offices in different locations : Tel-Aviv, Kyiv, Warsaw, Limassol.
• Granting an Option;
• A professional environment with great people to work with;
• Competitive salary, performance review;
• Flexible working hours, no one here tracks your work time because our culture is built on trust and cooperation;
• Social package, including sports coverage, elite medical insurance for you and family;
• 20 working days paid vacation, official public holidays and 100% sick leaves coverage;
• Opportunities to make a difference, to develop and grow;
• Regular corporate celebrations, team buildings and fun activities;
• Comfortable office in the city center. Our Kyiv office is open 24/7 with all safety and health measures in place.

Development and enhancement of automation solutions using the uiAgent platform
Automation of heat, electricity, and gas bill processing
Implementation of validation, testing, and processing logic
Further development and stabilization of existing bots and workflows
Adaptation of automations to changes in ERP/Business Central systems
Integration of existing partial automations into end-to-end processes
Conducting tests, error analyses, and regression tests
Support during go-live, hypercare, and business acceptance testing
Analysis, documentation, and optimization of existing processes
Coordination with product owners, business units, business IT, and technology partners
Requirements
Experience in RPA/software automation and the development of automated business processes
Experience with uiAgent or comparable automation platforms
Knowledge of ERP systems, ideally Microsoft Dynamics 365 Business Central
Experience Experience with invoicing and procure-to-pay processes
Ideally, knowledge of the energy industry
Experience with UI automation, testing, and error analysis
Structured and independent work style
Fluent in German and English

We are looking for a highly organized and detail-oriented AI Image Editing & Back Office Specialist to join our team.
 

This role combines AI-powered image editing with operational back-office support. You will receive requests through our help desk system, process AI image edits, and ensure every request is completed accurately and assigned to the correct ticket.
 

Success in this role depends on attention to detail, strong organizational skills, and the ability to manage a high volume of requests without mistakes.
 

Responsibilities

• Edit static images using AI face swap and image editing tools.
• Process requests received through the internal help desk system.
• Prepare edited images and return them to the appropriate support ticket.
• Maintain accuracy and consistency across all requests.
• Handle multiple tasks simultaneously while following established workflows.
• Perform back-office tasks within internal systems.
• Ensure all requests are completed correctly and on time.
 

Requirements

• Experience using AI tools for editing static images and face swaps.
• Strong attention to detail and excellent organizational skills.
• Previous experience with back-office or operational support.
• Comfortable working with ticketing/help desk systems.
• Ability to manage a high volume of repetitive tasks while maintaining accuracy.
• Self-motivated and able to work independently.
 

Nice to Have

• Experience with tools such as FaceFusion, Roop, InsightFace, ComfyUI, Stable Diffusion, Flux, Photoshop AI, or similar AI image editing software.
• Experience working in customer support platforms or help desk systems.
• Experience with workflow automation.
 

What We Offer

• Remote full-time position.
• Comprehensive salary
• Long-term opportunity.
• Work with modern AI technologies.

Meet the YozmaTech

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

Our client is a fast-growing startup focused on modernizing the way companies manage procurement and purchasing. They help organizations streamline procurement workflows, vendor management, and internal processes, allowing them to move faster, control spending, and gain better visibility. The company is small, fast-moving, and highly customer-focused. They work closely with their customers and move quickly from feedback to product improvements. Their platform is highly configurable and integrates with systems such as ERPs, CLMs, and collaboration tools.

Key Requirements:
🔹 You have solid 10+ years of experience building and operating production backend systems;
🔹 You are strong at debugging and refactoring across services, logs, and data and strive for;
🔹 Precise understanding, not hand wavy guesses;
🔹 AWS, with a heavy use of managed and serverless services;
🔹 TypeScript and Node for backend services;
🔹 Aurora Postgres;
🔹 Python for some services and data related work;
🔹 Integrations with third party APIs, ERPs, CLMs, and collaboration tools;
🔹 And flows rather than only individual endpoints;
🔹 You have taken ownership of technically challenging and evolving projects before and are;
🔹 Comfortable working through ambiguity;
🔹 You communicate clearly in writing and in conversation and are comfortable pushing back;
🔹 Asking questions, and exposing risks early;
🔹 You are good at using documentation, experimentation, and AI tools to unblock yourself and;
🔹 Accelerate your work, while still owning correctness and quality;
🔹 You care about leaving codebases and systems in a better state than you found them and;
🔹 Think about maintainability by default;
🔹 Priori experience working at a US based company is a nice to have;
🔹 English – Upper-Intermediate or higher.

Will be plus:
🔹 You can clearly communicate and debate complex problems and proposed solutions;
🔹 You have a broad engineering mindset and enjoy understanding systems end to end;
🔹 You are comfortable taking ownership of technically challenging, evolving projects, not just;
🔹 Well scoped tickets;
🔹 It is very important to us that you are independent: you know how to ask questions, ask for;
🔹 Help, and own your features start to finish;

What you will do:
🔹 Own features end to end and drive them from discovery through design, implementation;
🔹 Rollout, and follow up;
🔹 Work independently while collaborating smartly by unblocking yourself and asking questions;
🔹 Analyze and decompose complex work into clear, incremental steps without losing important;
🔹 Edge cases;
🔹 Communicate and debate solutions by explaining complex topics simply and leading;
🔹 Productive design discussions;
🔹 Identify and articulate tradeoffs across performance, reliability, complexity, and delivery;
🔹 Speed to guide decisions;
🔹 Design and implement backend services including APIs, background jobs, and data flows;
🔹 Across multiple domains and systems;

Interview stages:
🔹 1. Technical Interview(s) with Team Engineers;
🔹 2. Non-Technical Interview with the CTO;


Availability & Collaboration Hours

To ensure seamless collaboration across time zones, everyone is expected to be available for meetings and collaborative work for 4 hours each day, from 10:00 AM to 2:00 PM Eastern Time (ET). This is a mandatory shared availability window for all team members, regardless of their location.

This is a fantastic opportunity to join a fast-growing company at the heart of the digital revolution. Our software product is revolutionising manufacturing through automation. We are trusted by global brands and work across sectors (mobility, consumer goods, machinery etc).

We have a talented and ambitious team. We value integrity and are passionate about our mission to revolutionise advanced manufacturing.

This is your opportunity to:

• Be part of an AI product company in advanced manufacturing.
• Be part of a research focused team.

Responsibilities: 

• Research, test and develop generative AI based solutions.
• Collaborate with mechanical engineers to enhance your research.
• Design and implement end-to-end AI solutions that integrate with existing systems.
• Collaborate with software engineers and product teams to understand business needs and translate them into technical solutions. 
• Research emerging AI trends and techniques to continually improve the AI solution offerings. 
• Prepare and maintain documentation on design, code, and processes to ensure organizational knowledge retention. 
• Monitor and evaluate the performance of AI systems in production, identifying areas for improvement or further development.

You will be joining a well-versed team if you have:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. 
• Proven experience in developing generative AI or machine learning models.
• Commercial experience in using large language models.
• Programming skills in languages such as Python or JavaScript.
• Familiarity with databases (SQL, NoSQL). 
• Solid understanding of deep learning, NLP, computer vision, or other specialized areas within AI is a plus. 
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Good communication skills and the ability to translate complex technical concepts to non-technical stakeholders. 
• Commitment to continuous learning and development in the field of AI and emerging technologies.

Hi, we are a fast-moving product team launching a next-gen AI Harness product (business, marketing, education). We have already stabilized unit economics at $100k/mo. Now, we are ready to scale to $1M+/mo.

A $100k foundation is just a starting signal. We aren't looking for a passive optimizer to maintain a running machine. We need a builder who can pressure-test what exists, tear it down, and rebuild the engine from scratch if the current setup breaks at scale.

The Reality Check:
You report directly to the CEO. Flat structure, zero bureaucracy, and a budget that scales as fast as you can prove ROAS. It's not a dashboard-watching role. You personally run the global Google Ads engine from initial validation to deep optimization. You won't have a 50-person engineering team or a ready-made playbook.

If you want total freedom to scale an acquisition engine from $100k to $1M+ a month - this is your playground. If you need a fully stable corporate environment to feel comfortable, it's not your perfect role.

Your Mission

• Own the Engine: audit, validate, and rebuild the Google Ads strategy (search-first, global markets) from scratch.
• Aggressive Scaling: push the current $100k/mo foundation to a profitable $1M+/mo, tearing down any setups that break.
• CEO Collaboration: work directly with the CEO on budget forecasting, growth planning, and P&L strategy.
• Data-Driven Growth: deep-dive into funnel data to optimize the entire user journey from impression to conversion.

What Makes You the Perfect Fit

• Proven Scalable Track Record: a real case of building a Google Ads channel across global markets from a blank account to significant profitable spend (up to $1M and more).
• Absolute Hands-on Mastery: direct practitioner who knows search inside out and knows how to hit CPA/ROAS targets.
• Product Mindset: fluency in SaaS and mobile metrics (LTV, CAC, retention, churn, payback period).
• Technical Independence: expert setup of Google Ads, GTM, and tracking architectures (GA4, AppsFlyer, or Adjust) from scratch.
• High Agency: thrives in ambiguity, acts without waiting for instructions, and pivots fast based on hard data.
• Language: Upper-Intermediate (B2+) English or higher.

What's in It for You

• Total Freedom: zero micromanagement with absolute control over strategy, execution, and budgets.
• Uncapped Budgets: access to unlimited marketing budget as fast as you can prove profitable ROAS.
• Zero Bureaucracy: test and launch new ideas in hours, not weeks.
• AI Domain: hyper-growth product in the world's fastest-growing tech sector.

Perks & Benefits

• Remote-First & Coworking Coverage: work from anywhere globally, with your coworking space membership covered.
• Time Off to Recharge: 20 working days of fully paid vacation per year, plus paid sick leave.
• Learning & Growth: compensation for professional courses, conferences, specialized workshops, and intensive English training.
• Healthcare: comprehensive medical insurance, and access to corporate doctor.

We're looking for an engineer with hands-on experience building and evaluating GenAI services - from RAG and agentic reasoning systems to production-grade LLM deployments. You'll work closely with Frontend and Backend teams to bring AI agents into real products, with a strong focus on reliability, safety, and shipping working prototypes fast.

Hard Skills:

• Practical experience developing and evaluating GenAI services, including RAG systems, understanding of the "ReAct" (Reasoning + Acting) paradigm and Agentic RAG, LLM API integration, and prompt/context engineering, as well as training, fine-tuning, and deploying ML models in production environments.
• Knowledge of ML/GenAI frameworks: LangGraph or LangChain, PyTorch / TensorFlow, Hugging Face, OpenAI/Anthropic SDK.
• Practical commercial experience working with AI models via API (Gemini, Anthropic) and self-hosted models (Llama 3, Mistral, Mixtral), with an understanding of model differences based on functional/non-functional requirements (FR/NFR).
• Deep understanding of how LLMs interact with external APIs via Function Calling.
• Experience with vector databases, semantic search methods, and principles of database structuring and cleaning.
• Practical experience with at least one cloud platform (AWS, GCP, or Azure).
• Proficiency in Python and understanding of asynchronous programming.
• Understanding of the AI model lifecycle: monitoring, versioning, and quality evaluation (RAGAS, DeepEval), with hands-on experience using these tools.
• Experience with Guardrails: setting hard constraints on conversation topics and agent actions, filters that automatically strip personal data before sending requests to external LLMs, and the ability to build output filters that fact-check generated responses before they're displayed.
• Deterministic Logic Integration — running AI agents on strict schemas to prevent the model from "making things up."
• A plus: knowledge of automated testing approaches for evaluating responses across large datasets to measure hallucination rates before MVP launch.
• Knowledge of Human-in-the-loop mechanisms, ensuring agents cannot execute actions without final user verification.
• Ability to design memory systems that store context from a client's previous conversations and operations for personalization (Long-term Memory & User Context).

Soft Skills:

• Ability to clearly communicate complex technical concepts and mentor team members.
• Ability to quickly test and evaluate new libraries and approaches.
• Analytical problem solving - debugging complex "black boxes" and understanding why an agent behaves unpredictably.
• Focus on delivering a working prototype rather than a perfect research paper.
• Close collaboration with Frontend and Backend developers to seamlessly integrate AI agents into the required environment.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

Automat-it is an all-in AWS Premier Partner and Managed Services Provider specializing in the startup ecosystem. With over 800 customers and 500+ AWS certifications, Automat-it brings hands-on expertise in AI, DevOps, and FinOps to empower fast-paced startups to grow, deliver & win. Our customers save significant time-to-market and optimize their cloud performance and costs.

We work across EMEA and the US, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.

We’re looking for an AI Engineer (Senior level or strong Middle) to join our team and work directly with startup's Data Science and R&D teams. This is a hands-on, delivery-focused role where you will own projects end-to-end, from early design to production deployment.

The role is focused on building production-grade Generative AI systems on AWS, especially RAG pipelines, agent-based workflows, and LLM-powered backend services. This is not a pure research or model training role, it’s about designing and shipping reliable systems under real constraints.

📍 Work location: remote from Ukraine.

If you are interested in this opportunity, please submit your CV in English.

Key Responsibilities

• Build and deliver production-ready GenAI systems on AWS, including RAG pipelines, retrieval logic, and LLM-based services
• Design and implement agent-based or multi-step workflows for real use cases (not just prototypes)
• Work closely with Solution Architects, DevOps, and client teams to turn ideas and POCs into scalable systems
• Deploy, monitor, and improve ML/LLM systems in production, focusing on performance, cost, and reliability
• Work with AWS services such as Bedrock, OpenSearch, Lambda, S3, DynamoDB, SageMaker, and CloudWatch
• Adapt existing ML or GenAI code into production environments when needed
• Continuously improve system quality, including retrieval performance, output consistency, and evaluation approaches

• Operate in a fast-paced, project-based environment where you may own a project as the main engineer

   

Requirements

• Strong hands-on experience building and deploying AI / GenAI systems in production
• Solid experience with AWS in real projects (not just Console usage), including working with services like Bedrock, OpenSearch, Lambda, S3, or similar
• Experience building RAG systems in practice, including retrieval logic, vector databases, and output quality improvements
• Experience working with LLM frameworks or tools such as Amazon Bedrock, OpenAI, LangChain, or LlamaIndex
• Strong Python skills and a good understanding of backend system design
• Experience designing multi-agent systems or more complex orchestration workflows
• Experience with vector databases (OpenSearch, pgVector, Pinecone, etc.)
• Comfort working in fast-moving environments with short project cycles (weeks to a few months)
• Strong communication skills and ability to work directly with clients and cross-functional teams
• Ability to clearly explain technical decisions, limitations, and trade-offs in English (written and spoken)
• Experience with AWS Bedrock advanced features (e.g. Knowledge Bases, agent orchestration) - an advantage 
• Experience with Kubernetes, Docker, IaC Terraform and CI/CD pipelines  - an advantage 

• Background in Machine Learning or Data Science (including model training or fine-tuning)  - an advantage

   

What Success Looks Like in Year One

• Within 12 months, you are independently owning and delivering production GenAI systems on AWS, from initial design through deployment and iteration
• Working directly with customers and making clear architectural decisions around performance, cost, and reliability

• You are comfortable taking an ambiguous problem, turning it into a working system end-to-end, and explaining the trade-offs behind your approach

   

Why Join Automat-it?

Be at the Forefront of Cloud Innovation

Join a global leader and AWS Premier Tier Services Partner. We don't just use the cloud; we master it. As an All-In AWS partner, you’ll work with the most sophisticated tech stacks and help maintain our status as a top-tier collaborator in the global ecosystem.

Work on Meaningful, Large-Scale Impact

We specialize in helping startups and scaleups scale at speed. By joining us, you’ll be part of a team that has successfully completed hundreds of complex projects, directly influencing the growth of the next generation of unicorns through our unique "Product-based Professional Services" approach.

Accelerate Your Career Trajectory

In our fast-paced, dynamic environment, "growth" isn't just a buzzword. You will have:

• Clear Progression: Defined career paths from engineering to leadership.
• Continuous Learning: Sponsored AWS certifications and access to internal "Expert-led" knowledge sharing.
• Cutting-Edge Exposure: Early access to beta AWS features and high-level architectural challenges.

Thrive in a Culture of Excellence

We pride ourselves on a collaborative, supportive, and transparent culture. You’ll work alongside and learn from some of the industry’s brightest architects and DevOps engineers who are committed to mentorship and collective success, including AWS Gold Jacket recipients.

Global Reach, Boutique Feel

With over 250 employees across EMEA and the USA, enjoy the stability of a mature, profitable company with the agility and spirit of a startup. Whether you are working on GenAI & Agentic use cases, DevOps automation, FinOps optimization, or Kubernetes migrations, your voice is heard, and your contributions are visible.

Benefits

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program – enjoy cooperation with your colleagues and get a bonus 
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• English classes
• Soft skills training

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all. We firmly believe that cultivating a diverse workforce is crucial to our success. Our recruitment decisions are grounded in your experience and skills, recognizing the value you bring to our team.

We are looking for a Prompt Spec Engineer who will define how our AI systems communicate, reason, and deliver high-quality outputs across products powered by LLMs.
 

You will be responsible for designing prompt/spec architectures, building evaluation systems, and ensuring that AI responses are consistent, reliable, and production-ready across RAG systems, AI agents, and automation workflows.

What you will do:
 

• Design and evolve prompt/spec architecture for AI products, LLM services, RAG systems, and AI agents, defining prompt structures, model behavior rules, response formats, and quality criteria.
• Develop, optimize, and adapt prompts for different LLMs and use cases, considering output quality, context limitations, cost, and system stability.
• Build and maintain AI evaluation processes including test scenarios, golden datasets, regression testing, and A/B experiments for LLM performance measurement.
• Analyze AI outputs, identify root causes of issues (hallucinations, missing context, retrieval problems, incorrect or unsafe responses), and define improvements.
• Collaborate with AI Engineers and Product Managers to implement prompt solutions into production systems, RAG pipelines, AI agents, and automation workflows, translating business needs into technical specifications.
• Work with LLM evaluation and monitoring tools (such as PromptFoo, Langfuse, and similar solutions) to track metrics, prompt versions, response quality, and system performance.
• Create and maintain structured documentation: prompt specs, evaluation frameworks, usage guidelines, limitations, and best practices for safe and reliable AI behavior.

What we expect from you:
 

• 2+ years of experience in LLM-related roles such as Prompt Engineering, AI Product Operations, AI Evaluation, or similar.
• Hands-on experience designing and optimizing prompts for different LLMs with a strong understanding of model behavior, strengths, and limitations.
• Experience building prompt/spec systems including prompt structure design, behavior rules, response formatting, testing, and versioning.
• Strong experience in AI evaluation: test case design, output analysis, issue detection, and iterative improvement of model performance.
• Understanding of RAG systems, AI agents, structured outputs, tool calling, and principles of reliable LLM system design.
• Ability to collaborate with engineering and product teams, translate business requirements into AI specifications, and document solutions clearly and consistently.
• Upper-Intermediate (B2+) English 
   

What we offer

• Competitive compensation depending on experience
• Work on production-level AI systems (LLMs, RAG, AI agents, automation workflows)
• Office-based work in Lviv with the possibility of a hybrid schedule.
• Direct impact on AI product quality and system behavior
• Access to modern LLM tools and evaluation frameworks
• Professional growth in a fast-moving AI-focused environment
• Opportunity to shape prompt engineering standards inside the company
• Relocation support for candidates from other cities, including assistance with moving and adaptation in Lviv.