Jobs ML / AI

Quantum is a global technology partner delivering high-end software products that address real-world problems. 

We advance emerging technologies for outside-the-box solutions. We focus on Machine Learning, Computer Vision, Deep Learning, GIS, MLOps, Blockchain, and more.

Here at Quantum, we are dedicated to creating state-of-the-art solutions that effectively address the pressing issues faced by businesses and the world. To date, our team of exceptional people has already helped many organisations globally attain technological leadership.

We constantly discover new ways to solve never-ending business challenges by adopting new technologies, even when there isn't yet a best practice. If you share our passion for problem-solving and making an impact, join us and enjoy getting to know our wealth of experience!

About the position

Quantum is expanding the team and has brilliant opportunities for a Senior DS / AI Engineer. The client is a technological research company that utilises proprietary AI-based analysis and language models to provide comprehensive insights into global stocks in all languages. Our mission is to bridge the knowledge gap in the investment world and empower investors of all types to become "super-investors." Through our generative AI technology implemented into brokerage platforms and other financial institutions' infrastructures, we offer instant fundamental analyses of global stocks alongside bespoke investment strategies, enabling informed investment decisions for millions of investors worldwide.

Must have skills:

• 5+ years of commercial experience as a Data Science / AI Engineer
• Strong Python skills and software engineering fundamentals
• Strong understanding and experience in the development of high-load production systems
• 2+ years of experience with LLM and NLP-related tasks
• Hands-on experience with RAG and vector DBs
• Knowledge of modern DL architectures
• Experience with at least one of the Deep Learning frameworks (Tensorflow, PyTorch)
• Experience with SQL and NoSQL databases
• Good knowledge of Kubernetes
• Strong experience in development with AI tools (Claude Code, Cursor)
• At least an Upper-Intermediate level of English (spoken and written)

Nice to have skills:

• Familiarity with MCP (Model Context Protocol)
• Experience with production LLM frameworks (vLLM)
• Experience in training LLMs
• Experience with Cloud Computing Platforms (AWS, GCloud, Azure)
• Participation in Kaggle competitions

Your tasks will include:

• Full-cycle data science projects
• Data analysis and data preparation
• Development of NLP solution and AI-based chatbots
• Developing models and deploying them to production
• Sometimes, this will require the ability to implement methods from scientific papers and apply them to new domains

We offer:

• Delivering high-end software projects that address real-world problems
• Surrounding experts who are ready to move forward professionally
• Professional growth plan and team leader support
• Taking ownership of R&D and socially significant projects
• Participation in worldwide tech conferences and competitions
• Taking part in regular educational activities
• Being a part of a multicultural company with a fun and lighthearted atmosphere
• Working from anywhere with flexible working hours
• Paid vacation and sick leave days

Join Quantum and take a step toward your data-driven future.

About the Role

We are looking for a strong engineer who can help us build AI-powered tools and automation for real business problems.

We work with large amounts of business data and are building internal systems for verification, enrichment, and automation. We need someone who can quickly understand a problem, suggest a practical solution, and build it.

This role is very hands-on. We are looking for a builder — someone who likes solving problems, moving fast, and turning ideas into working products.

What You’ll Do

• Build AI agents and automation workflows
• Work with LLMs (OpenAI, Claude, etc.)
• Build tools that help automate manual work
• Integrate APIs and external systems
• Improve speed, quality, and reliability of workflows
• Quickly test ideas and move them into production
• Work closely with business and product teams

What We’re Looking For

Must Have

• Strong Python skills
• Experience building real products, systems, or automation
• Experience working with LLMs and AI tools
• Experience with APIs and integrations
• Ability to solve problems independently
• Fast execution and ownership mindset

Strong Plus

• Deep experience with AI-native development workflows
• Daily use of Claude Code, Codex, Cursor, or similar agentic coding tools
• Experience building products using AI-assisted engineering environments

Nice to Have

• Experience with LangGraph, CrewAI, AutoGen, or similar frameworks
• Experience with RAG, vector databases, or AI memory systems
• GitHub or personal projects
• Experience working with large amounts of data

Important

We are not looking for someone who only builds no-code automations.

We are looking for someone who can understand a business problem, think through the solution, and build working systems.

Please share examples of projects you built and your GitHub (if available).

We Offer

• Remote work
• Long-term collaboration
• High-impact projects
• Modern AI tools and technologies
• Fast-moving environment

OneAcademy is looking for a Video Designer with strong motion design skills and hands-on experience using AI tools for commercial video production. We are building a fast-scaling education brand focused on high-performance digital content, and we need someone who can combine creativity with speed and ownership.

What You’ll Do

• Create short-form video content (Reels, YouTube Shorts, TikTok) using AI-assisted production tools
• Develop static creatives for social media and marketing campaigns
• Optimize video production workflows to improve speed, efficiency, and scalability
• Adapt content to different platforms and formats
• Work within tight deadlines while maintaining quality standards

Hard Skills & Experience

• 2+ years of strong, hands-on experience with Adobe After Effects
• Basic proficiency in Adobe Photoshop
• At least 6 months of practical experience using AI tools for commercial video production (e.g., Kling, VEO, Sora, or similar)
• Experience with prompt engineering and cost optimization of AI tools (tokens / credits management)
• Solid understanding of composition, color correction, and storytelling fundamentals

Soft Skills We Value

• High level of independence and self-management
• Strong sense of responsibility and ownership over tasks and results
• Proactive mindset
• Fast learner, comfortable adapting to new tools and workflows
• Ability to operate in a performance-driven environment

What We’re Looking For

This role is ideal for someone who is not just an executor, but a creator who understands both aesthetics and performance metrics. You should be comfortable experimenting with AI tools, iterating quickly, and continuously improving production efficiency.

If you thrive in a fast-moving, digital-first environment and want to shape the visual language of a growing education brand — we’d love to hear from you.

Why OneAcademy

• Direct ownership over growth of a core educational product
• Opportunity to build a scalable, data-driven education business
• Global product with long-term LTV focus
• High level of autonomy and fast execution
  
  What We Offer
• Ownership of acquisition strategy 
• Work with large budgets and high-scale performance campaigns
• Direct influence on unit economics and growth metrics
• Opportunity to build and shape your own team
• Remote work with flexible schedule
• Work in a fast-growing global prop trading firm
• Performance bonuses and incentives

About the Project

The client is looking for a Software Engineer who operates at the intersection of high-scale frontend engineering and cutting-edge Applied AI.

In this role, you won’t just "build UI", you will design and deliver intelligent, cloud-native user experiences for our Maritime Intelligence Agentic platform. Our systems are used by defense agencies, governments, and global enterprises to secure trade and enforce compliance at sea. You will be expected to work autonomously, influence frontend architecture and UX standards, and significantly raise the bar for AI-assisted development within the team.

Required skills:

• A Professional Engineer: You have 7+ years of professional frontend or full-stack engineering experience, including 2+ years of experience building AI-powered products, agentic interfaces, or intelligent workflows in production at scale.
• An AI-Native Engineer: You are excited about agentic development and AI-enhanced user experiences. You are proficient in AI-based development workflows utilizing tools like Claude Code, Cursor, or Copilot in a highly autonomous fashion, and are a strong, independent individual contributor who can work effectively alone or in small, ad-hoc groups.
• Frontend & Cloud Architecture: You have proven experience building modern frontend applications with React, Next.js, TypeScript, GraphQL/REST APIs, and distributed cloud-based architectures. Experience with real-time systems, event-driven architectures, and cloud-native environments is highly valued.

• A Craftsman: You take pride in clean code, thoughtful UX/UI design, frontend performance, accessibility, and production-grade quality. You are accountable, independent, and thrive in ambiguous environments.

   

Technical Requirements

• Frontend Stack (Mandatory): Proven expertise with React.js, Next.js, TypeScript, modern frontend architecture patterns, state management, and component-driven development.
• AI & Agentic Interfaces: Experience integrating AI capabilities into frontend applications, such as conversational UI, AI copilots, streaming responses, or agentic workflows. Experience with frameworks such as LangChain, LangGraph, OpenAI SDKs, Vercel AI SDK, or similar is a strong plus.
• Cloud & Infrastructure: Solid understanding of modern frontend deployment environments, CI/CD pipelines, cloud-native applications, and observability practices. Familiarity with AWS, Kubernetes, Terraform, or serverless environments is a plus.

• Nice to Have: Experience with backend technologies such as Python, Node.js, GraphQL services, or distributed systems.

   

Scope of work:

• Architect & Build: Design and deliver scalable, responsive, and high-performance frontend applications, primarily using React/Next.js, within a distributed system architecture.
• AI Integration: Lead the integration of Generative AI capabilities into frontend experiences, including AI-powered workflows, copilots, conversational interfaces, and real-time intelligence visualization tools.
• Frontend Operations & Observability: Implement monitoring, analytics, performance optimization, and observability practices to ensure reliability, usability, and smooth user experience in production.
• Elevate Engineering: Drive frontend engineering quality and speed by implementing AI-SDLC practices, enforcing high standards through code reviews, component testing, E2E automation, and continuous UX/performance evaluation.
• Mentor & Innovate: Evaluate emerging AI and frontend tooling, mentor fellow engineers, and contribute directly to the evolution of our frontend architecture and technical roadmap.

The role

As a Senior AI Engineer for LLM Applications, you will own the LLM and information-retrieval layer of the Digital IP platform. You will turn raw patent documents — claims, descriptions, drawings, file wrappers, and prior art — into structured, queryable, decision-grade signal for inventors, the IP Council, product managers, and executives.

This is a high-leverage individual-contributor role on a small, senior team. You will partner closely with the Architecture Lead, with the IP Council, and with R&D leaders across Ingersoll Rand's business units. You will ship production systems — not prototypes — and your work will be visible at the executive level.
 

What you will do

• Design, build, and operate the LLM-driven services that power patent ingestion, classification (IPC/CPC), claim and entity extraction, semantic search, and prior-art retrieval across the Digital IP platform.
• Own the lifecycle of LLM applications on patent data: retrieval design, prompt and chain engineering, structured-output design, evaluation, and continuous improvement on top of managed LLMs.
• Build retrieval systems over Ingersoll Rand's internal corpus and external patent databases (USPTO, EPO, WIPO), including embedding strategy, vector indexes, and hybrid lexical/semantic search.
• Develop rigorous offline and online evaluation: gold sets co-curated with the IP Council, regression suites, hallucination and citation-faithfulness checks, and human-in-the-loop review workflows.
• Productionise LLM-driven systems end-to-end — retrieval indexes, prompt and chain wiring, serving, monitoring, latency and cost control — on Snowflake (Cortex, Snowpark).
• Translate ambiguous business questions from inventors, patent attorneys, and executives into well-scoped problems and shippable products.
• Contribute to the architectural direction of the Digital IP platform: data contracts, service interfaces, and reusable patterns that scale across business units.
• Raise the team's bar on evaluation rigour, documentation, and reproducibility, and mentor engineers and analysts who interact with the LLM stack.
   

What we are looking for

Required

• 5–8 years of professional software engineering experience, with the last 2+ years focused on shipping LLM-driven applications.
• At least one substantial LLM application that you took to production — RAG, agents, or LLM-driven workflows — and can speak to how you designed retrieval, prompts, evaluation, and post-launch monitoring.
• Strong working knowledge of information retrieval: embeddings, vector search, hybrid lexical+semantic approaches, and chunking strategy.
• Hands-on experience with Snowflake — Cortex, Snowpark, or building data and LLM workloads directly on the warehouse.
• Solid software engineering practice: clean Python, tests, version control, code review, and CI/CD.
• A disciplined approach to evaluation: gold sets, regression suites, hallucination and citation-faithfulness checks, and an instinct for measuring quality before shipping.
• Track record of working directly with non-engineering stakeholders — domain experts, analysts, or executives — and translating their needs into shipped systems.
• Excellent written and spoken English; ability to overlap several hours per day with Central European Time.

Strongly preferred

• Experience with structured information extraction at scale (entities, relations, attributes) from messy, multi-format corpora.
• Experience designing human-in-the-loop and annotation workflows with subject-matter experts.
• Familiarity with LLM application tooling — orchestration frameworks, observability, prompt/version management, cost and latency monitoring in production.

Nice to have

• Direct experience with patent or other long-form legal/technical documents: claim structure, IPC/CPC taxonomies, USPTO/EPO/WIPO data, or PATSTAT.
• Fine-tuning of LLMs or embedding models for domain-specific tasks, where the case for it was clear.
• Classical NLP or machine-learning background (training models, MLOps lifecycle).
• Background in mechanical, electrical, chemical, or industrial engineering — or any other domain that makes patent content feel familiar rather than foreign.
• Experience working in a regulated or IP-sensitive environment.

Admiral Studios is a fast-growing Ukrainian IT outsourcing company, specializing in web development, mobile development, UI/UX, and SEO.

We embrace the latest and most advanced technologies: Node.js, React, Laravel, Shopify, Python, and WordPress.

We create quality projects for clients in the US, Europe, the UK, and Canada 🌍, especially Healthcare, Real Estate, and E-commerce projects.

Currently, our team consists of more than 60+ skilled experts 👨‍💻, and we are constantly growing.

Now, we're looking for a hands-on AI Transformation Manager who will take ownership of AI adoption across the company and directly impact how our teams work, deliver, and grow.

For a perfect match, we expect 🎯

• 1+ year of experience working with AI tools in a professional context
• Deep, confident command of at least one LLM - Claude is a strong advantage, as it's the core of our infrastructure
• Hands-on experience with no-code/low-code automation: Make, Zapier, n8n
• Basic understanding of APIs and prompt engineering
• Ability to analyze existing processes and design improved workflows (SOP-building experience is a plus)
• Strong hypothesis-driven mindset: spot inefficiency → propose AI solution → test → measure → scale
• Understanding of how Dev, Sales, and HR teams operate in an IT environment

• English level: B2+ (working with documentation, tools, and vendors)

   

Nice to Have 💎

• Technical background or experience in software development
• Experience with BI or productivity tools (Notion AI, Airtable, etc.)
• Track record of successfully implementing AI or automation initiatives
• Active follower of AI trends — you try new tools before anyone asks you to

Duties & Responsibilities 💼

• Auditing current internal processes and identifying opportunities for AI-driven improvement
• Introducing and implementing AI tools into day-to-day workflows across departments
• Working closely with the CTO and CEO on strategic AI initiatives:
  • researching and evaluating new tools and solutions
  • building and documenting implementation cases
  • transferring knowledge and best practices to teams
• Launching internal pilot projects, measuring results, and scaling what works
• Training and supporting team members in adopting new AI-powered workflows
• Staying on top of the AI landscape and proactively proposing improvements

Why Join Admiral Studios?

⭐️Growth-Oriented Environment – value efficiency, flexibility, and results

🤝Team Spirit – Regular corporate online & offline events to keep the team connected
📚Professional Development Support – we provide:

• A structured Performance Review system
• Access to an internal knowledge library
• Career growth opportunities with a clear development plan
• A budget for improving work processes and implementing new ideas

🧘Work-Life Balance – Enjoy a flexible work schedule and a fully remote work model
✅Paid Time Off – 20 vacation days + 10 sick leave days per year

Hiring steps: Screening — Tech Interview — СEО Interview — Job Offer 

If your experience and skills match our candidate scorecard, the recruiting team will contact you within 5 business days 💙

Admiral Studios is a fast-growing Ukrainian IT outsourcing company, specializing in web development, mobile development, UI/UX, and SEO.

We embrace the latest and most advanced technologies: Node.js, React, Laravel, Shopify, Python, and WordPress.

We create quality projects for clients in the US, Europe, the UK, and Canada 🌍, especially Healthcare, Real Estate, and E-commerce projects.

Currently, our team consists of more than 60+ skilled experts 👨‍💻, and we are constantly growing.

Now, we're looking for a hands-on AI Transformation Manager who will take ownership of AI adoption across the company and directly impact how our teams work, deliver, and grow.

For a perfect match, we expect 🎯

• 1+ year of experience working with AI tools in a professional context
• Deep, confident command of at least one LLM - Claude is a strong advantage, as it's the core of our infrastructure
• Hands-on experience with no-code/low-code automation: Make, Zapier, n8n
• Basic understanding of APIs and prompt engineering
• Ability to analyze existing processes and design improved workflows (SOP-building experience is a plus)
• Strong hypothesis-driven mindset: spot inefficiency → propose AI solution → test → measure → scale
• Understanding of how Dev, Sales, and HR teams operate in an IT environment

• English level: B2+ (working with documentation, tools, and vendors)

   

Nice to Have 💎

• Technical background or experience in software development
• Experience with BI or productivity tools (Notion AI, Airtable, etc.)
• Track record of successfully implementing AI or automation initiatives
• Active follower of AI trends — you try new tools before anyone asks you to

Duties & Responsibilities 💼

• Auditing current internal processes and identifying opportunities for AI-driven improvement
• Introducing and implementing AI tools into day-to-day workflows across departments
• Working closely with the CTO and CEO on strategic AI initiatives:
  • researching and evaluating new tools and solutions
  • building and documenting implementation cases
  • transferring knowledge and best practices to teams
• Launching internal pilot projects, measuring results, and scaling what works
• Training and supporting team members in adopting new AI-powered workflows
• Staying on top of the AI landscape and proactively proposing improvements

Why Join Admiral Studios?

⭐️Growth-Oriented Environment – value efficiency, flexibility, and results

🤝Team Spirit – Regular corporate online & offline events to keep the team connected
📚Professional Development Support – we provide:

• A structured Performance Review system
• Access to an internal knowledge library
• Career growth opportunities with a clear development plan
• A budget for improving work processes and implementing new ideas

🧘Work-Life Balance – Enjoy a flexible work schedule and a fully remote work model
✅Paid Time Off – 20 vacation days + 10 sick leave days per year

Hiring steps: Screening — Tech Interview — СEО Interview — Job Offer 

If your experience and skills match our candidate scorecard, the recruiting team will contact you within 5 business days 💙

AI & Innovation Specialist

Location: Kolding, Denmark – On-site
Company: Bixter
Industry: International Recruitment, Education & Workforce Innovation

About Bixter

Bixter is an international recruitment and education platform connecting global talent with European employers in sectors such as agriculture, logistics, food processing, hospitality, and healthcare. 

We are now looking for an AI & Innovation Specialist to help us accelerate automation, digital transformation, and AI-driven growth across recruitment, education, operations, and customer experience.

Your Mission

You will lead the development and implementation of AI-powered systems and innovative workflows that improve efficiency, scalability, and user experience across the Bixter ecosystem.

This role combines AI implementation, automation, product innovation, data-driven optimization, digital transformation, and emerging technology research.

You will work directly with leadership and have a major influence on how Bixter evolves over the coming years.

Key Responsibilities

AI & Automation

• Implement AI tools across recruitment, education, operations, and customer support 
• Develop automated workflows using AI platforms and integrations 
• Optimize processes with smart, up-to-date AI solutions 
• Build AI-assisted communication systems and internal tools 
• Identify opportunities for improvement and make a measurable difference 

Innovation & Product Development

• Research emerging AI technologies and identify practical business applications 
• Support the development of internal digital projects 
• Contribute to new AI-driven services and products 
• Analyze market trends and recommend innovation strategies 

Data & Analytics

• Use data insights to improve business performance 
• Build dashboards, reporting systems, and operational analytics 
• Identify process bottlenecks and opportunities for optimization 

Cross-Functional Collaboration

• Work with recruitment, marketing, education, and operations teams 
• Train colleagues in AI tools and best practices 
• Help create an innovation-driven culture within the company 

Requirements

Must-Have

• Experience with AI tools, automation platforms, or digital transformation projects 
• Strong understanding of ChatGPT, generative AI, and modern AI workflows 
• Experience with workflow automation tools such as Zapier, Make, n8n, or similar 
• Analytical mindset and strong problem-solving skills 
• Excellent communication skills in English 
• Ability to work independently and take initiative 

Nice-to-Have

• Experience with CRM systems 
• Experience with LMS or online education platforms 
• Knowledge of prompt engineering 
• Basic coding skills, such as Python, JavaScript, or APIs 
• Experience with data analytics or BI tools 
• Experience in recruitment, HR-tech, EdTech, or SaaS 

What We Offer

• Opportunity to shape the future of an international growth company 
• Direct impact on strategic innovation and AI adoption 
• Flexible working environment 
• High level of responsibility and autonomy 
• International team and projects 
• Possibility to grow into a leadership role in AI & innovation 

Ideal Candidate

You are curious, proactive, and passionate about using AI to solve real business problems. You enjoy testing new technologies, improving systems, and creating scalable solutions that make organizations smarter and more efficient.

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

Senior AI / LLM Engineer (GenAI Systems)

We’re building a next-gen AI infrastructure platform focused on LLMs, intelligent matching, and scalable systems.

Looking for a Senior AI Engineer to help design and ship real-world AI systems across models, infrastructure, and production.

Work format: Preferred On-site / Open to Hybrid / Remote can be discussed potentially.

Bonus: Performance and delivery bonuses included.

What You’ll Work On
• Build and scale AI pipelines end-to-end
• Develop and deploy LLM-powered systems
• Work on inference optimization and performance
• Design RAG systems, agent workflows, and structured outputs
• Improve prompting, NLP, and data quality

Tech You’ll Likely Use
(You don’t need everything — depth in a few areas is what matters)
• Engineering proficiency (CI/CD, Version controls, Containers, APIs, Databases)
• Python + ML frameworks (PyTorch / Keras / TensorFlow)
• LLMs & GenAI tooling (RAG,  LangChain, Vectors)
• Function Calling & Structured Outputs

What We’re Looking For
• Experience building LLM or ML systems in production
• Strong understanding of modern AI / transformer-based models
• Comfortable working across model + system + product layers
• Bias toward shipping and solving real problems

Nice to Have (Not Required)
• Semantic / Linguistic experience
• NER, NLP, Classification, Extraction, or Structured Data systems
• MLOps & Inference ( CUDA / vLLM / Ollama / Triton / DeepSpeed / FSDP)
• Fine-tuning (SFT, DPO, etc.) or Dataset / Curriculum curration
• Advanced degree (PhD)

What We Want
• Systems thinker (infra + model + product)
• Ships fast, builds real systems
• Comfortable in high-growth, ambiguous environments

Extra Info

Main onsite office in Kyiv with a high tech workspace, chef-made daily lunches. Team presence also in Warsaw and Prague.

We are building an AI-native SaaS platform involving:

• reporting systems,
• scoring engines,
• AI visibility analysis,
• and modular backend architecture.

We are looking for a highly capable senior engineer who can:

• translate detailed specs into production-ready systems,
• work effectively with AI coding tools (Claude Code, Cursor, GPT, etc.),
• establish strong testing and engineering practices,
• and help stabilize and scale the platform architecture.

Requirements

• Strong backend engineering experience
• Python / FastAPI
• PostgreSQL
• Docker
• GitHub workflows
• CI/CD and testing experience
• Comfortable working with evolving product specifications
• Strong systems thinking and debugging ability
• Experience with AI-assisted development workflows

Nice To Have

• AI/LLM infrastructure
• platform architecture
• observability/testing systems
• multi-module SaaS systems

Important

We are NOT looking for:

• junior developers,
• ticket executors,
• or generic AI automation freelancers.

We are looking for someone with strong ownership, operational discipline, and architecture thinking.

Candidates must provide:

• GitHub profile,
• examples of systems they built,
• and explanation of their AI-assisted development workflow.

We are looking for a Middle AI/ML Engineer to develop and enhance AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role, you will focus on building and iterating on machine learning and LLM-based solutions, integrating them into Foundry workflows to support analytics, automation, and decision-making. You will collaborate closely with data engineers, business analysts, and domain experts to deliver practical, production-ready AI solutions.

Key Responsibilities:

• Develop and enhance machine learning and AI models to support predictive analytics, classification, forecasting, and AI-assisted workflows.
• Build AI and ML solutions within Palantir Foundry, using Python and existing Foundry pipelines, Ontology objects, and workflows.
• Apply LLMs and NLP techniques (e.g. prompt engineering, fine-tuning, embeddings, retrieval-augmented workflows) using Palantir AIP for enterprise use cases.
• Collaborate with data engineers to understand data sources, ensure data quality, and prepare datasets for model training and inference.
• Conduct experiments, evaluate model performance, and iterate on features and model approaches.
• Integrate AI models into Foundry workflows to surface insights and support business processes.
• Support model deployment and monitoring by following established team standards and best practices.
• Work closely with business and domain stakeholders to translate requirements into practical AI-driven solutions.
• Document model behavior, assumptions, and limitations to support transparency and compliance.
• Stay up to date with applied AI and GenAI trends and contribute ideas under guidance from senior team members.

Requirements:

• 3+ years of experience in machine learning, AI engineering, or applied data science.
• Strong Python skills; experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Hands-on experience with LLMs, NLP, or GenAI use cases (e.g. prompt design, embeddings, text classification, summarization).
• Practical understanding of the ML lifecycle: data preparation, feature engineering, model training, evaluation, and iteration.
• Experience working with structured data (tabular, time series); exposure to text or unstructured data is a plus.
• Familiarity with enterprise data environments and collaborative development workflows.
• Ability to clearly explain model results and AI behavior to non-technical stakeholders.
• Upper-Intermediate English or higher.

Nice to have: 

• Proficiency in Foundry Ontology, Object Builders, and Code Repositories.
• Experience in big pharma or highly regulated industries.
• Knowledge of data privacy, compliance, and security best practices in AI applications.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

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

It is a leader in AI-powered computer vision and predictive systems for manufacturers, delivering integrated solutions that connect edge devices and factory systems with cloud software to optimize production quality and throughput. As a Forward Deployed Engineer, you will play a pivotal role in deploying advanced AI systems directly into customer environments, acting as the primary technical contact and trusted advisor for strategic manufacturing accounts.

Key responsibilities include:

• Own the end-to-end lifecycle of AI deployment for manufacturing clients, from scoping and integration to production hardening and handover.
• Embed with customer operations and IT teams, serving as the main technical advisor and point of contact.
• Integrate AI vision systems with OT/IT/cloud stacks, including OPC-UA/Modbus/PLCs, NVIDIA Jetson edge inference, ERP, and customer cloud platforms.
• Build and iterate data pipelines and customer-side data flywheels, covering edge-to-cloud capture, model deployment, monitoring, and feedback loops.
• Troubleshoot software, networking, and integration issues in live production environments.
• Document architectures and configurations, producing formal handover artifacts for long-term support.
• Participate in pre-sales scoping calls and contribute field learnings to the product and engineering roadmap, helping shape reusable deployment patterns and internal tooling.
• Support on-site data collection and annotation as needed.

Requirements
Required Qualifications:

• 6+ years of experience combining production software engineering with industrial automation and/or applied AI
• Proven experience shipping and supporting production software systems deployed into customer infrastructure
• Production Python development experience with hands-on use of Linux, Docker, and Git in production environments
• Cloud deployment and operations experience with at least one major platform (AWS, Azure, or GCP)
• Hands-on experience with at least one of: OPC-UA/Modbus/PLC integration, NVIDIA Jetson (or equivalent) edge platforms, or GenICam/industrial vision systems
• Networking fundamentals for industrial deployments, including TCP/IP, VLANs, and firewalls
• Experience in a customer-facing engineering role as the primary technical contact for external stakeholders
• Professional working proficiency in English

Preferred Qualifications:

• Professional experience working in industrial automation or manufacturing environments involving OT/IT integration

Основні вимоги:

• 6+ years of technical experience
• Python/Linux/Docker - 3+ years
• production deployments or system integration - 3+ years
• industrial automation/factory systems - 2+ years
• PLC/OPC-UA/Modbus or industrial networking - 1–2+ years
• computer vision/Edge AI - 1–2+ years
• client-facing experience - 2+ years

Графік до 01:00 ночі по Київу !!!

Location: Remote (Poland / EU)
Duration: Contract until end of year (with potential extension)

We are looking for a Senior Backend Engineer (Golang) with a strong interest or experience in AI and Large Language Models (LLMs) to join a high-impact project. You will play a key role in designing, building, and optimizing backend services that integrate modern AI capabilities.

This is a senior-level position requiring autonomy, ownership, and the ability to contribute to architectural decisions while collaborating with cross-functional teams.

Key Responsibilities

• Design, develop, and maintain scalable backend services using Golang
• Build and optimize RESTful APIs for high-performance applications
• Collaborate on system architecture and technical design decisions
• Integrate and work with AI/LLM-based solutions and agents
• Ensure code quality, performance, and reliability

• Work independently with minimal onboarding while aligning with broader project goals

   

  Must-Have Requirements

• Strong proficiency in Golang as a primary programming language
• Extensive experience building and maintaining REST APIs
• Hands-on experience with databases such as PostgreSQL, SAP HANA, or similar
• General understanding of AI concepts, especially Large Language Models (LLMs) and AI agents
• Ability to work independently at a senior level
• Nice-to-Have Skills
• Experience with OpenTelemetry (observability, tracing)

• Familiarity with performance and load testing tools (e.g., Locust)

   

  What We’re Looking For

• A senior engineer who can own features end-to-end
• Someone comfortable with high-level architectural discussions
• Ability to collaborate without needing constant direction
• Strong problem-solving mindset and focus on scalable solutions
• Language Requirements
• Professional proficiency in English
• If you're a backend expert with Golang and an interest in AI/LLMs, this is a great opportunity to work on cutting-edge solutions in a flexible, remote environment.

Role overview:

We are looking for a practical security engineer who can improve detection quality, investigate real incidents, and help reduce manual SOC work.

This role is not about building an “AI security platform”. The focus is on better visibility, cleaner detections, faster investigations, and useful automation.

What You Will Work On:

Threat Hunting

Run targeted hunts based on clear hypotheses, including:

• Suspicious cloud activity
• Abnormal IAM or API usage
• Unusual network or application behavior
• Weak or missing detection coverage
• Gaps in logging and telemetry

You will use internal data and external threat intelligence to validate risks and improve detection logic.

Security Incident Investigation

Investigate security alerts and incidents end-to-end:

• Understand what happened
• Validate whether the alert is real or noisy
• Identify affected users, systems, and data
• Collect evidence from logs and infrastructure
• Document findings clearly
• Recommend fixes or detection improvements

Expected experience: 2+ years of hands-on security incident investigation.

Detection Engineering

Improve existing detections and create new ones where needed:

• Reduce false positives
• Improve signal quality
• Tune alerts based on real data
• Validate whether detections catch meaningful activity
• Map useful detections to MITRE ATT&CK where appropriate.

Automation and Internal Tooling

Build small but useful tools to reduce repetitive work:

• Scripts for log analysis
• Alert enrichment
• Investigation helpers
• Data normalization
• Tool integrations
• Basic SOAR-style automation

Practical AI / LLM Usage

Use LLMs only where they bring practical value:

• Alert enrichment
• Investigation summaries
• Internal tooling
• Analyst productivity

No hype. No AI-first positioning. AI is just one tool in the workflow.

Requirements:

• Solid experience with SIEM tools, such as: Elastic, Splunk, Microsoft Sentinel, Similar platforms
• 2+ years investigating real security incidents
• Strong understanding of: - AWS logs and IAM activity - Cloud security basics - Network fundamentals - APIs, authentication flows, and modern application behavior
• Comfortable working with: Large datasets; Raw logs; Noisy alerts; Incomplete telemetry
• Python or similar language for data processing
• Experience with automation: SOAR, Scripts, Internal tools, Custom workflows
• Basic DevOps knowledge: - AWS - Linux - Docker - Kubernetes basics - CI/CD basics - Cloud infrastructure concepts - Logs, metrics, and monitoring.

Nice-to-have (but not critical):

• Experience applying simple ML or statistical methods to logs
• Familiarity with LLMs in internal tooling
• Experience with data pipelines (Kafka, Spark, Similar systems)
• MITRE ATT&CK mapping
• Detection-as-code experience
• Understanding of infrastructure monitoring (Prometheus, Grafana, OpenTelemetry)

What will make you effective here:

• You do not trust alerts blindly
• You care about signal quality, not the number of detections
• You can explain why a detection is noisy or useless
• You understand systems, not just security tools
• You are comfortable reading raw logs
• You prefer building automation once instead of repeating manual work
• You can work with engineers and explain security findings in practical terms