Jobs ML / AI Engineer

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.

Technical leader of the AI solutions practice: accountable for the architecture and quality of solutions the team takes from pilot to production, and for the technical management of the team.

Scope of responsibility

• Technical architecture of AI solutions: choosing the approach (RAG, fine-tuning, agentic pipelines, classical ML) and assessing the cost / quality / time-to-deploy trade-offs
• Decomposing business requirements into a technical backlog; effort estimation and building estimates with appropriate buffers
• Technical management of a team of 5-10 people: task allocation, code review, mentoring, competency development
• Ownership of delivering projects to a measurable business outcome rather than to a demo
• Establishing the quality loop for models: metrics, evaluation sets, regression testing of prompts and pipelines

• Technical communication with clients: defending architectural decisions, participating in presales and proposal development

   

Must-have requirements

• 5+ years in  ML, including 2+ years in a technical leadership role (team lead, tech lead)
• Hands-on experience taking LLM solutions to production: RAG, vector stores, agent orchestration, working within context and model constraints
• Production-level Python; solid understanding of API integrations, queues, and asynchronous pipelines
• Experience with cloud platforms (Azure / AWS / GCP), containerisation, and basic CI/CD
• Estimation and planning skills: able to produce a realistic estimate and explain what it consists of
• Ability to hold a technical conversation with business stakeholders without falling into jargon

• English at Upper-Intermediate level or above (documentation and client-facing work)

   

Nice to have

• Experience in a consulting or project-based delivery model (multiple parallel clients, fixed scopes)
• Experience building LLM output quality assessment processes (LLM-as-judge, human-in-the-loop)
• Experience with as-is / to-be process mapping and identifying automation opportunities
• Experience introducing AI-assisted development practices (agentic coding tools, conventions) to a team

• Experience with self-hosted model deployment and its cost economics

   

Soft skills and management profile

• Takes ownership of the team's results, not only of their own code
• Able to tell a client "this won't work" and propose an alternative
• Develops people: walks through the reasoning behind decisions rather than simply correcting them
• Comfortable working with unstable requirements — the normal condition of AI projects
• Willing to run difficult performance conversations, not only supportive mentoring

About 3DLOOK
3DLOOK is a leader in AI-powered body measurement technology. Our proprietary computer vision platform transforms two smartphone photos into accurate 3D body measurements and body composition data used by global brands in apparel, healthcare, fitness, and wearables. We build scalable AI solutions that solve real-world problems for enterprise customers worldwide.

About the Role
We're looking for a Senior Backend Engineer to design, build, and scale the backend services powering our AI platform. You'll develop high-performance APIs and distributed systems, optimize cloud infrastructure, and collaborate with Product, AI, Mobile, and DevOps teams to deliver reliable, scalable solutions used by enterprise customers.

Responsibilities
- Design, develop, and maintain scalable and reliable backend systems, services, and
APIs.
- Translate business requirements into scalable, reliable, and maintainable solutions.
Improve the reliability, observability, and performance of existing systems.
- Troubleshoot production issues and perform fixes or enhancements.
Integrate third-party APIs and cloud services.
- Write clean, maintainable, and well-tested code.
- Participate in code reviews, release processes, and contribute to engineering best practices.
- Contribute to CI/CD pipelines and deployment processes.
- Work with containerized applications and Kubernetes-based deployments.
- Collaborate closely with cross-functional engineering teams.

Qualifications
Required
- 7+ years of commercial Python development experience.
- Strong knowledge of Python 3.x and the standard library.

- Excellent knowledge of Django and its ecosystem.
- Deep understanding of concurrent programming (multithreading, multiprocessing, asyncio).
- Experience with asynchronous frameworks (FastAPI, aiohttp)
- Strong understanding of OOP, SOLID, DRY, and KISS principles.
- Deep understanding of RDBMS(PostgreSQL) and NoSQL systems.
- Experience working with ORMs (Django ORM, SQLAlchemy).
- Experience designing and building distributed systems.
- Experience with AWS services, containerization, Git, and CI/CD pipelines.
- Experience with Celery, Redis, RabbitMQ, or similar messaging systems.
- Experience integrating third-party APIs.
- Experience writing automated tests using pytest and unittest.
- Experience working in Agile/Scrum environments and participating in code reviews, design discussions, and release cycles.
- Ability to write clean, structured, and maintainable code.
- Upper-Intermediate (B2+) English or higher with strong written and verbal communication skills.
- Experience using AI-assisted development tools to improve development productivity and code quality.
- Comfortable leveraging modern AI tools for code generation, debugging, documentation,
testing, and research while maintaining high engineering standards.
- Ability to effectively use AI-powered development tools to accelerate software delivery
and improve engineering efficiency.
 

Location
- Fully remote.
- Comfortable collaborating across European and US time zones.

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or related field.
• 7+ years of experience in data science or machine learning roles, ideally with exposure to healthcare projects.
• Strong knowledge of ML frameworks such as scikit-learn, TensorFlow, PyTorch, XGBoost, or LightGBM.
• Proficiency in Python for data science and related libraries (NumPy, pandas, matplotlib, seaborn, etc.).
• Experience working with large datasets and data processing frameworks (e.g., Spark, Dask, SQL).
• Understanding of MLOps concepts and tools (e.g., MLflow, Kubeflow, Vertex AI, Azure ML).
• Familiarity with cloud environments (Azure, AWS, or GCP) for training and deploying models.
• Experience with model interpretability, fairness, and explainability techniques.
• Strong communication and visualization skills for storytelling with data.
• English proficiency at Upper-Intermediate level or higher.

Preferred Qualifications (Nice to Have)

• Experience working with medical data (EHR, imaging, wearables, clinical trials, etc.).
• Familiarity with healthcare regulations related to data and AI (e.g., HIPAA, GDPR, FDA AI/ML guidelines).
• Knowledge of FHIR, HL7, or other healthcare interoperability standards.
• Practical experience with deep learning models (e.g., CNNs for imaging, transformers for NLP).
• Involvement in presales, proposal writing, or technical advisory work.

Job responsibilities

• Lead the design and development of AI/ML solutions across HealthTech and MedTech projects.
• Participate in technical presales by analyzing business cases and identifying opportunities for AI/ML application.
• Build and validate predictive models, classification systems, NLP workflows, and optimization algorithms.
• Collaborate with software engineers, cloud architects, and QA to integrate models into scalable production systems.
• Define and guide data acquisition, preprocessing, labeling, and augmentation strategies.
• Contribute to the development of GlobalLogic’s healthcare-focused AI accelerators and reusable components.
• Present technical solutions to clients, both business and technical audiences.
• Support model monitoring, drift detection, and retraining pipelines in deployed systems.
• Ensure adherence to privacy, security, and compliance standards for data and AI usage.
• Author clear documentation and contribute to knowledge sharing within the Architects Team.

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.

Impressit is looking for a Senior / Lead AI Engineer (LLM) to join a cross-functional product team working on an AI-powered healthcare billing platform. The product helps automate the medical invoice coding process by analyzing unstructured clinical data, recommending billing codes using locally hosted Large Language Models, and integrating validated results into the client's existing management systems. This is a great opportunity to build a meaningful AI solution with real-world impact while taking ownership of technical decisions and working directly with an international client.

What do we expect?
— 4+ years of commercial experience as an AI Engineer, ML Engineer, or Software Engineer working with LLM-based solutions
— Strong hands-on experience with Python for building data ingestion, processing, and AI pipelines
— Experience building supporting frontend applications with React
— Solid experience with Large Language Models, including researching, evaluating, benchmarking, and selecting the most suitable models for production use
— Hands-on experience with local/self-hosted LLMs and inference frameworks such as Ollama, vLLM, llama.cpp, LM Studio, or similar technologies
— Strong understanding of prompt engineering, model evaluation, and optimization techniques for accuracy, latency, and resource utilization
— Experience integrating AI solutions through REST APIs and Model Context Protocol (MCP)
— Solid experience with SQL and/or NoSQL databases
— Proven ability to write automated tests and maintain high code quality
— Good understanding of CI/CD practices
— Excellent problem-solving, analytical, and debugging skills
— Strong Computer Science fundamentals (algorithms, data structures, OOP, software architecture)
— Excellent communication skills with previous experience working directly with clients and translating business needs into technical solutions
— Ability to work independently, make architectural decisions, and take full ownership of deliverables
— Upper-Intermediate or higher level of English

What will you do?
— Build AI-powered data ingestion pipelines that collect, process, and structure unstructured medical data for analysis
— Research, evaluate, benchmark, and justify the selection of local LLMs for healthcare billing use cases
— Design and develop scalable LLM-driven analysis workflows running entirely on local infrastructure to ensure sensitive medical data remains secure
— Build supporting React interfaces for monitoring data ingestion, reviewing AI-generated recommendations, and visualizing analysis results
— Integrate AI services with existing healthcare management systems through REST APIs and MCP
— Collaborate directly with the client to gather requirements, validate AI outputs, and continuously improve solution quality
— Ensure reliability, reproducibility, performance, and auditability of AI-driven workflows
— Document model evaluations, benchmarking results, and architectural decisions
— Contribute to the overall system architecture and drive technical direction of the project

As a plus:
— Experience deploying and optimizing local LLMs on GPU infrastructure
— Experience with Gemma, MedGemma, Llama, Mistral, or other open-weight LLMs
— Experience with vector databases and Retrieval-Augmented Generation (RAG) architectures
— Previous experience in healthcare, healthtech, fintech, or other regulated industries handling sensitive data
— Experience building secure AI systems where data privacy is a key requirement
— Passion for clean code, experimentation, and delivering high-quality AI solutions

We are currently seeking a skilled and driven Senior AI/ML Engineer to join our R&D team.

We believe that you have:

• In-depth knowledge of Machine Learning (ML) and Deep Learning (DL) principles
• A minimum of 3 years of experience working as a Software/ML Engineer
• Strong proficiency in Python programming and ML related libraries and engines
• Experience with AI Agents
• Proven experience in prompt engineering, Large Language Models (LLM)
• LLM Fine-tuning: Experience in fine-tuning pre-trained language models for specific tasks or domains
• LLM Frameworks and Tools: Langchain / LlamaIndex or other + familiarity with other relevant frameworks such as Transformers, GPT-Index, or FAISS
• Experience with one or more machine learning libraries such as TensorFlow, Keras, PyTorch
• Ability to extract meaningful business insights from data and identify the stories behind the patterns
• Willingness to work in an R&D team with shifting priorities and actively engage in PoC initiatives.

• Intermediate or higher level of English proficiency

   

Cool to have:

• Experience with Computer Vision
• Expirience with LLMOps
• DevOps & MLOps: CI/CD pipelines, Docker, Kubernetes
• Experience with SQL, NoSQL and Vector databases

• Experience with NLP, NLU, Semantic Search

   

Responsibilities:

• Collaborate closely with the web development team to design, develop, and deploy machine learning models
• Develop new machine learning models or enhance existing ones to meet project requirements

• Monitor and maintain machine learning models in production, ensuring their optimal performance and stability

   

We offer:

• Flexible schedule
• Horizontal management and communication directly with project stakeholders
• 20 days of paid vacation
• Paid sick-leaves
• Annual activities budget — we endorse your wish to self-improvement
• Remote work

About the Role

As an Associate Conversation Designer at Pearl, you'll help build and evolve chatbots that support and convert millions of customers around the world. This role is focused on the German market and requires native-level German fluency to design, review, and optimize customer-facing conversational experiences. You'll work alongside experienced conversation designers to create engaging, efficient conversational flows using our in-house language, blending creativity with data to deliver delightful AI + Human-powered experiences. This is an excellent opportunity for an early-career professional who is curious about AI, passionate about conversation design and user experiences, and excited to learn in a fast-paced, collaborative environment.

What You'll Do

• Design and optimize chatbot flows to convert, engage, and support customers across e-commerce and customer service journeys
• Write clear, compelling conversation copy that aligns with brand tone and business objectives
• Analyze customer transcripts and chatbot performance to identify gaps and propose improvements
• Apply NLP/LLM tools and prompt engineering to enhance response quality and scalability
• Partner with international teams to localize and align bots with regional goals and personas
• Collaborate with analytics to evaluate performance metrics and measure impact
• Conduct QA (functional, linguistic, and regression) testing of bot interactions
• Lead or contribute to special projects (e.g., chatbot consolidation, competitor analysis, new bot launches)

What We're Looking For

• Advanced level of German or higher
• 0–2 years of experience designing and launching chatbot or conversational AI solutions in production environments, or through internships, academic projects, or research
• Upper-intermediate level of English or higher.
• Experience working with or exposure to LLMs and prompt engineering
• Introductory knowledge of Python or another scripting language applied to conversational systems or automation preferred
• Excellent written and verbal communication skills
• Strong attention to detail and ability to identify patterns, inconsistencies, and opportunities for improvement
• Eagerness to learn new technologies, tools, and ways of working
• Curious, analytical mindset with a passion for understanding customer behavior and solving problems
• Ability to manage multiple priorities and stay organized in a fast-paced environment
• Strong collaboration skills and openness to feedback
• Comfortable working with data and using insights to inform decisions
• Demonstrated initiative through coursework, internships, projects, leadership experiences, or extracurricular activities
• Interest in AI, conversational design, customer experience, or emerging technologies
• Bachelor's degree or equivalent experience in Linguistics, Cognitive Science, Human-Computer Interaction, Computer Science, Human-Centered Design, or a related field

Bonus Points For

• Coursework, projects, or internships involving AI, chatbots, UX writing, customer experience, or product design
• Experience using tools such as Figma, Excel, PowerBI, Asana, Lucid
• Chart, or similar platforms
• Experience working on team-based projects with multiple stakeholders
• Interest in global markets, localization, or multilingual experiences

Perks and Benefits

• Time off throughout the year (paid and unpaid)
• Professional development support and encouragement
• Resources to help improve your overall well-being
• Free JustAnswer membership

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.
 

     You'll be a great fit if you have:

•  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;

• Bachelor's degree in Computer Science or a related field.
   

  What you'll do:

• 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 ensure your growth with:

• Competitive salary fixed in USD;
• Flexible working schedule and fully remote work format;
• Paid vacation days and sick leave days ;
• Personal and professional development opportunities;
• Participation in building innovative projects from scratch using modern technologies;
• Team-building activities and corporate events;
• English classes and educational events.

About us

DroneOps is a company creating innovative UAV-related products, focused on UAV autonomy and navigation, founded in 2023. We are a team of innovators and inventors who take on the duty to help the armed forces of Ukraine defend our country and democracy by providing reliable advanced systems that simplify their work, improve personnel safety, and enable more cost-effective and precise UAV mission execution.

Overview

We are looking for a Middle / Senior Computer Vision / Deep Learning Engineer to extend our onboard navigation capabilities with modern perception and learning-based methods.

This is a hands-on R&D role: you work from research and prototypes to production on edge hardware, collaborate with software, and flight teams, and help shape how new CV/DL features are built and shipped. The role suits someone who can follow state-of-the-art work, implement what fits our constraints, and care about real-world performance—not only offline benchmarks.

Responsibilities

Relocalization & navigation

• Design and develop satellite, map, and semantic navigation capabilities that improve the overall quality of our navigation
• Build and maintain pipelines for map and reference-data preparation before missions
• Extend the existing visual-inertial navigation stack with relocalization and map-based aiding features
• Develop training pipelines for these tasks (data preparation, training, evaluation, and iteration)
• Create utilities that make map preloading and mission setup convenient for operators and integrators
•  

Research & implementation

• Track relevant research and industry approaches; prototype and adopt methods where they clearly improve the product
• Reimplement or adapt algorithms when off-the-shelf solutions do not fit our data, hardware, or latency requirements
• Define evaluation metrics and acceptance criteria for new features before field and deployment rollouts
•  

Edge deployment & production

• Optimize models and inference for target onboard hardware
• Integrate new features into the production codebase with stable APIs, logging, and failure handling
• Take part in architecture decisions, code review, and team practices that keep production quality high as the stack grows
•  

Required skills & experience

• 3+ years of practical experience in computer vision and deep learning
• Strong Python; ability to write clear, maintainable code for experiments and production paths
• Experience with training and deploying deep learning models (PyTorch)
• Familiarity with model optimization for edge or embedded devices (pruning, quantization, ONNX/TensorRT-class tooling, or equivalent)
• Comfort working with geospatial or map-related data and preprocessing pipelines
• Practical production mindset: reproducible experiments, versioning, and validation on real data
• English B2+ for documentation and technical discussion; Ukrainian for day-to-day team communication
•  

Nice to have

• Experience with deep learning keypoint detection and matching approaches
• Comfortable with geometric computer vision (camera models, epipolar geometry, robust estimation)
• Multi-sensor fusion / SLAM / EKF background
• UAV, robotics, or aerospace field experience
• Experience with satellite or aerial imagery, semantic segmentation, or visual place recognition
•  

What we offer

• Competitive salary
• Reservation from mobilization
• Impact on improving our country's defense capabilities
• 21 days of vacation + public holidays, sick leaves

Work setup:  Remote

Engagement:  Long-term, client-facing implementation role

English:  Strong professional / fluent (stakeholder-facing)

Role summary

We are looking for an engineer to design, configure, integrate and support secure, production-grade generative-AI solutions built on Google Cloud. The core of the role is turning everyday business processes into scalable, AI-powered workflows — enterprise search, knowledge discovery, question-answering and agent-based automation — on top of Google's enterprise GenAI and search stack (for example Gemini Enterprise, Vertex AI Search and Agent Builder). You will work hand-in-hand with business stakeholders, cloud and platform engineers, security teams and application developers to take solutions from discovery through to live operation.

What you'll do

Solution build & AI agents

• Configure and deploy enterprise GenAI applications to match business and customer requirements — data stores, search experiences, actions and agents.
• Build AI-driven enterprise search, knowledge discovery, Q&A and workflow-automation capabilities.
• Create reusable agents that serve operations, customer service, sales, HR and knowledge-management use cases.

Data integration & retrieval quality

• Connect the platform to structured and unstructured company data — Google Workspace, Microsoft 365, databases, document repositories, cloud storage, APIs and third-party business apps.
• Design secure ingestion, indexing, synchronisation and retrieval flows, and make sure applications are wired to the right data stores for answers, actions and agents.
• Improve answer and search quality through metadata design, document preparation, access controls, grounding and retrieval tuning.

Security & governance

• Implement identity, access management and role-based access so retrieval respects each user's existing permissions.
• Keep solutions aligned with organisational security, privacy and governance policy, and work with security/compliance teams on data residency, auditability, retention and responsible-AI requirements.
• Identify and mitigate risks such as data leakage, prompt injection, unauthorised access, hallucinations and inappropriate responses; maintain documentation of architecture, data flows and access controls.

Deployment & operations

• Support solutions across development, testing, production rollout and ongoing operation.
• Monitor usage, search quality, agent performance, latency, errors and user feedback; set up logging, monitoring and alerting.
• Troubleshoot data connectors, indexing, authentication, API and permission issues, and recommend improvements from adoption metrics and evaluation results.

Stakeholder collaboration

• Run discovery sessions to understand requirements, workflows, data sources and desired outcomes, and translate them into technical architecture and delivery plans.
• Produce proofs of concept, demos, documentation and technical presentations; train administrators, developers, support teams and end users on capabilities and responsible use.

Must-have qualifications

• Bachelor's degree in Computer Science, IT, Engineering or a related field — or equivalent hands-on experience.
• 3+ years in cloud engineering, software development, data engineering, AI engineering or enterprise application implementation.
• Hands-on experience with Google Cloud Platform.
• Experience with generative AI, large language models, conversational AI or enterprise-search technologies.
• Experience integrating applications with APIs, databases, cloud storage and third-party systems.
• Proficiency in at least one programming language — Python preferred (Java, JavaScript/TypeScript or Go also welcome).
• Solid grasp of REST APIs, authentication, OAuth, service accounts and identity & access management.
• Working knowledge of prompt engineering, retrieval-augmented generation, grounding, embeddings and semantic search.
• Familiarity with structured and unstructured data ingestion, plus testing, troubleshooting, logging and monitoring.
• Strong analytical, documentation, communication and stakeholder-management skills.

Nice to have

• Hands-on delivery with Google's enterprise GenAI products (Gemini Enterprise / Vertex AI Search / Agent Builder) or comparable platforms.
• Experience with Vertex AI, the Gemini APIs or other conversational-AI platforms.
• Building enterprise AI agents and multi-step agentic workflows.
• Integrating Google Workspace or Microsoft 365 data.
• BigQuery, Cloud Storage, Cloud Run, Cloud Functions, Pub/Sub and API management.
• Document processing, vector search, embeddings and knowledge-management platforms.
• Infrastructure as code and CI/CD (Terraform, GitHub Actions, Cloud Build).
• Understanding of responsible AI, model evaluation, AI governance and enterprise data privacy.
• Prior client-facing consulting, professional-services or enterprise-implementation work.
• Relevant Google Cloud certifications (e.g. Professional ML Engineer, Professional Cloud Architect, Professional Data Engineer, Professional Cloud Developer, Generative AI Leader).

Core competencies

• Strong problem-solving and analytical thinking.
• Ability to translate business needs into practical AI solutions.
• Attention to data security, privacy and governance.
• Clear technical and business communication.
• Comfortable juggling several implementation priorities and working independently while coordinating across teams.

For our customer from the energy industry we are looking for  AI Engineers

Basic data:

Start: 01.08.2026

End: 12/31/2026

remote

Additional information

The aim of the project is to build a new billing platform based on SAP UC4G as a strategic backbone for future-proof sales within the German Sales Group. Through maximum automation, standardization and harmonization, the joint platform is intended to enable efficient billing of all products and services.

Increase in company-wide closing costs

Securing competitiveness by reducing costs and reducing the time-to-market of new products

Ability to respond quickly to regulatory requirements

Reduction of complexity through simplified product structures

Scalability and flexibility

95% harmonization of core processes

Measurability and transparency of performance based on appropriate KPIs, the first will go live by the end of November and then the others will go live until 2028

Tasks:

Build & operate AI solutions in a squad. Develops and operates AI solutions directly in the squad (agents, automations, scripts, integrations) and provides hands-on support in requirements analysis, documentation, solution design, testing and coding.

Measurable delivery contribution: Increase automation and velocity with measurable contribution.

Empowerment to be self-reliant: Enablement of the squad with the goal that it works independently and AI-first after the handover.

AI as a standard work tool: Establishes the use of AI for error prevention in development, documentation and quality assurance.

Specifications of methods and best practices: Definition of clear guidelines on how AI is effectively used in the squad, as well as further development of the team towards these ways of working.

AI & Tooling

In-depth experience in the use of AI tools in a work context (e.g. copilots, LLMs (e.g. Claude Code), Code Assistants)

Ability to use AI effectively for requirements analysis, documentation, solution design, coding, and testing

Understanding of opportunities, risks and sensible application scenarios of AI

Skills:

AI & Tooling:

In-depth experience with AI tools (Copilots, LLMs, Claude Code, Code Assistants)

Use of AI for analysis, documentation, design, coding and testing

Understanding of risks, limitations, and meaningful use cases of AI

Advantageous

SAP Utilities (UC4G / IS-U / S/4HANA).

Integration know-how (APIs, interfaces, data flows)

Basic knowledge of ABAP, Python or comparable technologies

Knowledge of modern cloud and BTP architectures

Cloudfresh ⛅️ is a Global Google Cloud Premier Partner, Zendesk Premier Partner, Asana Solutions Partner, GitLab Select Partner, Hubspot Platinum Partner, Okta Activate Partner, and Microsoft Partner.

Since 2017, we’ve been specializing in the implementation, migration, integration, audit, administration, support, and training for top-tier cloud solutions. Our products focus on cutting-edge cloud computing, advanced location and mapping, seamless collaboration from anywhere, unparalleled customer service, and innovative DevSecOps.

We're looking for an AI Architect to become our lead technical expert for client AI solutions and to help stand up our AI Competence Centre and internal AI Lab.

This is a client-facing technical role first, with a build-and-lead dimension. Expect roughly 60% solution architecture and pre-sales engineering for enterprise clients, and 40% establishing the AI Lab and mentoring engineers. You'll technically lead and raise the bar for the team - this is a technical leadership role, not a people-management line.
Reports to: Head of AI.

Requirements

• Experience & seniority. 5+ years in software, data, or ML engineering, including 3+ years delivering ML/AI in production and 2+ years in a client-facing architect or technical lead capacity.
• Cloud & AI infrastructure. Production-level experience on Google Cloud Platform, especially the Vertex AI suite, plus integrating third-party model providers such as Anthropic.
• GenAI engineering. Strong hands-on knowledge of RAG, agentic workflows, orchestration frameworks (LangChain, LlamaIndex), vector databases, and prompt/context engineering.
• Production & MLOps. Hands-on with the ML lifecycle, CI/CD for models, automated deployment, and cloud cost management - including right-sizing models (lighter vs. heavier) to control spend.
• Evaluation, guardrails & observability. Practical experience building LLM evaluations, guardrails, and monitoring for accuracy, safety, latency, and cost in production.
• AI governance & security. Familiarity with data governance, model risk, and EU regulation (EU AI Act, GDPR) as it applies to enterprise AI — we're primarily EU-based.
• Pre-sales & client experience. Proven experience presenting to enterprise clients, scoping technical projects, and translating complex AI concepts into clear business value.
• Technical leadership. Experience guiding engineers, reviewing architecture and code, and raising team capability.
• Languages. Native Ukrainian — required, as you'll run Ukrainian-language pre-sales — and strong English (B2+/C1 minimum).

• Mindset & agility. An intrapreneurial drive to build an AI Lab from scratch inside an established business, plus the agility to move smoothly between client pre-sales and deep technical architecture.

   

Responsibilities

• Solution architecture. Design and own end-to-end AI systems for strategic enterprise clients - reference architectures, data and retrieval pipelines, agentic layers, and integration with existing enterprise systems - with a clear path from prototype to scalable, secure, observable production.
• Pre-sales & consulting. Partner with sales to qualify and win AI opportunities: run technical discovery, scope solutions, size effort and cost, and translate AI into business value, ROI, and risk for C-level stakeholders.
• Technical leadership & mentorship. Set architecture and engineering standards, run design and code reviews, and level up engineers across the AI practice.
• AI Lab & R&D. Stand up and run the internal AI Lab - rapid client prototypes and cost-effective internal AI tooling - with a clear bar for what graduates into production.
• Partner collaboration. Work with our core AI partners (Google Cloud / Vertex AI, Anthropic) to build joint solutions, access early capabilities, and shape our technical roadmap.
• Governance, security & cost. Build guardrails, evaluation, and observability into every solution; keep architectures compliant (EU AI Act, GDPR) and cost-aware through right-sized model selection.

Would be a plus

• Google Cloud Professional Machine Learning Engineer and/or Professional Cloud Architect certification.
• Hands-on enablement or certification with Anthropic and Vertex AI generative-AI stacks.
• Direct experience mapping solutions to the EU AI Act risk framework.
• Fine-tuning, distillation, or model-optimization experience.
• Production experience with voice/multimodal AI (e.g., ElevenLabs) or AI-assisted engineering tooling (e.g., Cursor).
• Contributions to the open-source GenAI ecosystem.

Work conditions

• Flexible Work Format: Work remotely, allowing you to balance your professional and personal life efficiently.
• Training with Leading Cloud Products: Access in-depth training on cutting-edge cloud and AI solutions, enhancing your expertise and equipping you with the tools to succeed in an ever-evolving industry.
• International Collaboration: Work alongside A-players and seasoned professionals in the cloud industry.
• Global Exposure: Expand your expertise by engaging with international markets across the EMEA and CEE regions.
• Vibrant Team Environment: Be part of an innovative, dynamic team that fosters both personal and professional growth, creating opportunities for you to advance in your career.
  
  When applying to this position, you consent to the processing of your personal data by CLOUDFRESH for the purposes necessary to conduct the recruitment process, in accordance with Regulation (EU) 2016/679 of the European Parliament and of the Council of April 27, 2016 (GDPR).
  Additionally, you agree that CLOUDFRESH may process your personal data for future recruitment processes. You can withdraw this consent at any time.

About the Role

We are seeking an experienced Senior Data Technology Consultant to join our growing Data & AI practice. This role bridges technology with business value, helping clients harness the power of data to drive transformative business results. You will play a pivotal role in crafting innovative data solutions, supporting sales efforts, and delivering exceptional value to our clients through strategic consulting and technical expertise.

Key Responsibilities

• Work closely with sales, delivery, and expert teams to align client needs with data-driven solutions, effectively connecting business challenges to our offerings
• Own the end-to-end presales process, including opportunity qualification, solution design, proposal development, demos, and client presentations
• Lead workshops and meetings with clients to gather business objectives and technical requirements, ensuring alignment between client goals and our solutions
• Architect tailored data solutions, encompassing cloud-native platforms, data integration, advanced analytics, and AI/ML models, to provide actionable business insights
• Develop competitive proposals, pricing models, and value propositions to successfully close opportunities and secure engagements
• Stay updated on emerging trends in Data & Analytics, Cloud, and AI, providing strategic advice to clients and supporting innovation within the practice
• Contribute to the development of reusable solution frameworks, accelerators, and methodologies to drive operational efficiency
• Act as a mentor and knowledge-sharer across the team, supporting skill-building and best practice dissemination

Requirements

• Extensive experience in presales, solution architecture, or consulting, with a focus on Data/AI technologies and related business use cases
• Strong technical knowledge in legacy Data Warehouse platforms (Oracle, DB2, Informatica, SSIS, etc.)
• Good experience in cloud data technologies (AWS, Azure, GCP)
• Experience in modern data platforms (Databricks, Snowflake)
• Familiarity with data science techniques and proficiency in analysis of client needs to align with technical solutions
• Excellent communication and storytelling skills—able to translate complex technical concepts into clear, client-friendly narratives
• Proven track record in engagement with senior stakeholders and delivery of impactful presentations or pitches
• Experience in creation of detailed proposals, RFP responses, and pricing/engagement models for data-related services or projects
• Understanding of strategic consulting principles and the ability to develop future-state recommendations and roadmaps for client success
• Strong organizational, leadership, and project scoping abilities, with a proven ability to manage complex tasks in a fast-paced environment
• Bachelor's or master's degree in data science, Computer Science, Business Analytics, or a related field (or equivalent professional experience)
• Excellent English communication skills, with the ability to clearly and effectively explain technical concepts to diverse audiences.

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.