Jobs ML / AI

We are looking for an AI Engineer with practical experience in robotics, simulation, synthetic data and AI agents.

The first priority for this role is to understand how our 3D, simulation and configurator expertise can be useful for robotics teams: what training data they need, how synthetic data can help, where real-world data is required, and which product hypotheses are worth testing.

You will work at the intersection of AI, robotics, 3D/simulation and production software engineering. We expect you to be able to move from an unclear problem to research, technical discovery, prototype, evaluation and a clear recommendation for the next step.

Responsibilities:

• Analyze our current 3D/simulation projects and identify possible use cases for robotics.
• Understand data requirements for training and evaluating robotics models.
• Define where synthetic data, 3D scenes, procedural generation and simulation can create value.
• Build prototypes and experiments for selected robotics or AI scenarios.
• Design and implement AI-agent systems around LLMs, tools, APIs and internal data.
• Integrate AI models into working services, pipelines and tools.
• Set up evaluation, logging, monitoring and feedback loops for AI systems.
• Work with developers, 3D artists, product stakeholders and potential users.

Requirements:

• 3+ years of software engineering experience.
• Strong Python skills and experience building backend services, APIs or ML systems.
• Practical experience with robotics, robotic simulation, autonomous systems or related domains.
• Experience with synthetic data, simulation environments, 3D/game engines or data generation pipelines.
• Understanding of ML data lifecycle: collection, generation, labeling, validation, versioning and evaluation.
• Experience integrating LLMs or AI models into real products or internal tools.
• Experience with AI agents: tool calling, API integration, RAG, context/state management, retries and fallback logic.
• Ability to deploy and operate AI services using Docker, cloud or similar infrastructure.

Nice to have:

• ROS/ROS2, Isaac Sim, MuJoCo, Gazebo, Unity, Unreal Engine or Blender.
• Camera/LiDAR/depth/segmentation datasets.
• Domain randomization, Sim2Real, reinforcement learning or imitation learning.
• LangGraph, LangChain, LlamaIndex, CrewAI or custom agent orchestration.
• PyTorch/TensorFlow, fine-tuning, model evaluation or ML experiment tracking.
• Experience in game development, VFX, 3D pipelines or digital twins.

In the first 30 days, we expect you to understand our project context, analyze possible robotics use cases, describe data requirements and propose several product hypotheses.

By 60 days, we expect a working prototype or technical experiment, clear evaluation criteria, documented findings and a recommendation on whether to continue, change direction or stop the selected hypothesis.

We are looking for a senior engineer to own the quality of our AI features and help define engineering standards across the team.

Approximately 70% of this role focuses on quality and evaluation for agentic workflows: building evaluation harnesses, maintaining datasets, implementing regression gates, and turning production failures into repeatable checks.

The remaining 30% focuses on improving product engineering through code reviews, resilient design, mentoring, and early involvement in feature development. You will also contribute production code to stay close to the systems you review.

This role combines software engineering, AI evaluation, and technical leadership. It requires broader ownership than a traditional test automation position.

Our Stack

• Languages: TypeScript and JavaScript
• Backend: Node.js with Express
• Frontend: React and React Native
• Databases: PostgreSQL and MongoDB
• Infrastructure: AWS
• Testing: Playwright for web and Maestro for mobile
• CI/CD: GitHub Actions

Responsibilities

AI Evaluation & Quality Engineering - approximately 70%

• Build and maintain evaluation harnesses, golden datasets, and scoring methods for production agentic workflows.
• Define measurable quality standards for AI features, including task success, failure handling, latency, and cost.
• Implement regression gates in CI so changes receive an evaluation verdict before merging.
• Own the Playwright web and Maestro mobile end-to-end suites, keeping them fast, reliable, and transparent about failures.
• Establish engineering standards for code reviews, architectural patterns, and targeted refactoring.
• Instrument AI features in production and turn observed failures into new evaluation cases.
• Investigate evaluation regressions and help the team determine whether changes are ready to ship.

Product Engineering & Resilience - approximately 30%

• Review code across Node.js, React, and React Native applications, providing specific, actionable feedback.
• Coach engineers on error handling, retries, idempotency, failure isolation, and tests that demonstrate resilient behavior.
• Participate in feature design early to address quality, testability, and operational risks before implementation.
• Make targeted contributions to production code to maintain hands-on knowledge of the systems.
• Help troubleshoot production incidents by reading traces, reproducing failures, and driving issues to resolution, including occasional incidents outside regular working hours.

Required Experience

• 5+ years of experience building and operating production web applications.
• Strong JavaScript and TypeScript skills, with a deep understanding of runtime behavior.
• Hands-on production experience with Node.js (Express) and React.
• Practical PostgreSQL expertise, including schema design for read patterns, indexing, query plan analysis, and migrations under load.
• Production experience with AWS, including ECS or Lambda, Secrets Manager, CloudWatch, and IAM, with an understanding of infrastructure costs.
• Experience owning and maintaining a Playwright or equivalent automated test suite.
• Experience building and optimizing CI/CD pipelines in GitHub Actions.
• A demonstrated track record of improving code quality through reviews, architectural practices, and successfully delivered refactors.
• Experience mentoring engineers, with concrete examples of practices you helped a team adopt.
• Strong debugging skills and the ability to investigate issues across application code, databases, and infrastructure.
• Clear, effective asynchronous written communication.

AI Engineering & Evaluation - Required

Hands-on AI engineering and evaluation experience is essential. Candidates should be prepared to discuss specific systems, decisions, and outcomes.

• Daily experience working with frontier models and agentic coding tools such as Claude Code, Codex, or Cursor.
• Experience personally building evaluations for an LLM or agent system, including defining what to score, choosing scoring methods, and responding to changes in results.
• Experience constructing and maintaining evaluation datasets: sourcing cases, managing labeling, and keeping coverage relevant as the product evolves.
• Understanding of agentic failure modes that conventional unit tests do not capture.
• A repeatable approach to providing agents with context through instruction files, tool definitions, MCP servers, and subagent roles.
• A practical approach to tracking token spend and wall-clock time per unit of delivered work.

US Company is searching for a Middle AI Support Engineer to join an innovative product team developing an AI-powered SaaS platform. This is an exciting opportunity to work with modern cloud technologies, Large Language Models (LLMs), and scalable web applications in a distributed international team. Full-time, official contract, remote work, and US business hours (9am-5pm, CT).

Brief project description:
The product is SaaS, which enables businesses to automate and enhance customer communications through AI-powered workflows and modern communication technologies.

Responsibilities:

• Triage and analyze incoming tickets, identifying bugs, feature requests, existing functionality, and configuration issues.
• Investigate issues, troubleshoot AI workflows, and provide clear, accurate responses to users.
• Improve and maintain AI prompts and instructions to enhance response quality and reliability.
• Make targeted Node.js/TypeScript changes within existing AI workflows and integrations.
• Test and validate prompt, workflow, and code changes before release.
• Escalate complex issues to Product or Engineering and identify recurring issues that could be addressed through product or workflow improvements.

Required skills (must have):

• 3+ years Node.js/TypeScript.
• Hands-on experience with LLMs and prompt engineering.
• Experience debugging AI workflows / AI-powered applications.
• Strong ticket triage and troubleshooting skills.
• Ability to distinguish bugs, feature requests, existing functionality and configuration/usage issues.
• Excellent written and spoken English.
• Strong analytical and problem-solving skills.
• High level of autonomy.

Would be considered as a plus:

• RAG / vector databases.
• Function/tool calling and structured LLM outputs.
• AWS/serverless.
• SaaS/B2B experience.
• Jira/Zendesk/Redmine.
• Experience building AI agents or AI support automation.
• SQL and API integration experience.

Work conditions:

• 100% remote work.
• Full-time (40 hours per week).
• Official contract: salary, sick-leave days, holidays, vacations.
• US business hours: 9am-5pm, CT.

Interviewing / Hiring process:
Step 1 - preliminary interview (main questions) - 45 mins
Step 2 - internal technical interview - 60 mins
Step 3 - technical interview with Team Leader - 60 mins

About Our Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Senior Software Engineer to build and operate production AI agent and search services on top of a large-scale data platform. This is hands-on work at the intersection of distributed backend engineering and applied AI: multi-agent workflows, tool-execution infrastructure, retrieval and relevance, and integrations with multiple LLM providers — all running as real, customer-facing production services with the reliability expectations that implies.

Responsibilities

• Design and implement scalable multi-agent workflows (including conversation state), tool-execution infrastructure, and data-aware tools working with catalogs, schemas, lineage, SQL, jobs, semantic metadata, data preparation, and visualizations
• Build search and retrieval capabilities with OpenSearch or equivalent — indexing, relevance tuning, hybrid keyword + vector search
• Integrate multiple LLM/model providers with secure configuration and graceful degradation
• Develop APIs and event contracts across REST, streaming/SSE, gRPC, protobuf, and SDKs, including UI integrations
• Operate, monitor, and improve production services — service health, logs, metrics, traces, search-cluster health, latency, and error rates; participate in the team's production-support model
• Investigate incidents, drive root-cause analysis, and ship durable fixes
• Design for permissions, tool approvals, multi-tenancy, and customer-data governance
• Maintain dependencies, apply security fixes, and reduce tech debt; produce designs, tests, runbooks, and documentation; lead technical discussions and review code

Required Qualifications

• B.S. or M.S. in Computer Science, Computer Engineering, or a related field — or equivalent practical experience
• 7+ years of relevant experience, or equivalent demonstrated senior-level impact
• Strong Java software engineering skills
• Strong grasp of concurrency, data structures, API design, testing, maintainability, and backward compatibility
• Solid background in distributed systems, microservices, cloud services, or data-intensive backends
• Hands-on experience with search technologies — OpenSearch, Elasticsearch, or Lucene — including vector search, embeddings, or relevance systems
• Experience building LLM applications, agent/tool workflows, RAG systems, or model-provider integrations
• Strong production instincts: diagnosing failures via logs, metrics, and traces; designing for fault tolerance, retries, cancellation, and recovery
• SQL and familiarity with data platform concepts: catalogs, metadata, schemas, governance, lineage
• Comfort leading ambiguous, cross-service work with clear stakeholder communication and strong written documentation
• Comfortable with AI-assisted development workflows — using modern AI tools productively while critically validating their output
• English Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team
• Availability to work EU business hours shifted 2–3 hours later for daily overlap with US West Coast mornings

Desired Skills

• LangChain4j or similar agent frameworks
• Python for AI services, evaluation harnesses, or sandboxed execution
• React and TypeScript
• gRPC, protobuf, Quarkus, Kubernetes, MongoDB, KV stores, event-driven architectures
• Apache Arrow, Apache Iceberg, OpenLineage, semantic layers, or data-governance systems
• AI quality evaluation: LLM-as-judge, model benchmarking, production AI metrics
• OpenSearch operations: index lifecycle management, relevance tuning, incident response
• Open-source contributions

Details

• Engagement: Long-term contract
• Location: Europe (EU / EEA / UK), remote
• Working hours: EU business hours, shifted 2–3 hours later for daily overlap with the US West Coast team

We are expanding our talent pool of Python Machine Learning Engineers to support upcoming international projects across various industries, including FinTech, Healthcare, Retail, Manufacturing, and SaaS.

While there is no immediate project assignment, selected candidates will become part of our network and will be among the first to be considered when new opportunities matching their expertise become available.

Our machine learning projects typically involve designing, training, deploying, and optimizing predictive models, recommendation systems, computer vision, NLP, and other AI-driven solutions using modern Python technologies and MLOps practices.

We are expanding our talent pool of Python AI Engineers (LLM & GenAI) to support upcoming international projects focused on Generative AI, Large Language Models, AI Agents, and intelligent automation.

While there is no immediate project assignment, selected candidates will become part of our network and will be among the first to be considered when new AI opportunities matching their expertise become available.

Our AI projects typically involve designing and developing LLM-powered applications, Retrieval-Augmented Generation (RAG) systems, AI Agents, intelligent workflows, and enterprise AI solutions using modern Python technologies.

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.

What do we guarantee?

• Work format: Remote or in a comfortable office in Lviv — you choose.
• Development: Personal development plan, mentoring, English and Polish language courses.
• Stability: Official employment from day one, annual review of salary and career prospects.
• Corporate culture: Events that unite the team and a space where everyone can be themselves.

About the Role

We are looking for an enthusiastic AI professional who is passionate about exploring and applying Artificial Intelligence to real business challenges.
The successful candidate will work closely with the AI Tech Lead and will take ownership of individual AI initiatives from requirements gathering through solution delivery. The role offers an opportunity to work with cutting-edge AI technologies, experiment with new tools, and help transform business processes through automation and innovation.
This position is ideal for someone who follows developments in AI, enjoys testing new technologies, and wants to build practical AI solutions that deliver measurable value.

Key Responsibilities

• Independently manage and deliver one or more AI-related projects.
• Work with stakeholders to understand business needs and identify opportunities for AI adoption.
• Design and implement AI solutions leveraging technologies such as Prompt Engineering, AI Agents, Retrieval-Augmented Generation (RAG), workflow automation, and Generative AI models.
• Create, test, and optimize prompts for different AI use cases.
• Evaluate and experiment with new AI tools, models, and capabilities.
• Support solution design, testing, and implementation activities.
• Coordinate and direct the work of junior team members assigned to the project.
• Define tasks, distribute workload, review deliverables, and support junior colleagues in their development.
• Contribute to reusable AI components, best practices, and internal knowledge sharing.
• Participate in proof-of-concept development and pilot initiatives.
• Help drive innovation and identify opportunities for new AI solutions across the business.

What We Are Looking For

• Genuine interest and passion for Artificial Intelligence.
• English B2+.
• Approximately 2 years of hands-on experience working with AI tools, AI products, or AI-powered solutions.
• Practical experience with: Generative AI tools and Large Language Models (LLMs); Prompt engineering; AI assistants and AI agents; Retrieval-Augmented Generation (RAG);Workflow automation.
• Ability to work independently and take ownership of projects.
• Strong analytical and problem-solving skills.
• Good communication skills and ability to work with both business and technical stakeholders.
• Curiosity and willingness to continuously learn new technologies.

Nice to Have

• Experience with Microsoft technologies, such as: Microsoft Copilot; Power Automate; Power Platform; SharePoint; Microsoft 365; Azure AI services.
• Basic understanding of APIs and integrations.
• Experience with low-code/no-code platforms.
• Basic knowledge of Python or scripting languages.
• Experience delivering internal automation or AI transformation initiatives.

What We Offer

• Opportunity to work on innovative AI projects with real business impact.
• Exposure to modern AI technologies and rapidly evolving tools.
• Freedom to experiment, learn, and help shape future AI solutions.
• Collaboration with a growing AI-focused team.
• Direct involvement in solution design, innovation, and project delivery.
• Continuous learning and professional development opportunities.

Policy statements:
www.pwc.com/ua/uk/about/privacy.html

We’re expanding our automation team—and we’re looking for someone who loves building AI agents, not just “plugging ChatGPT into everything.” If you’re interested in more than just writing prompts—if you want to create systems that make their own decisions, handle errors, and run in production without constant supervision—read on 👇

Who We Are

Our team automates routine business processes using AI agents: alerts, mailings, reminders, and other tasks that used to be handled manually. We currently have three specialists on the team, and we’re growing. We work on a wide range of projects—from small integrations between departments to large-scale initiatives with a real impact on the business.

What we expect from you during our collaboration: 

• Development and implementation of multi-agent systems
• Build and maintain custom integrations via APIs
• Set up and optimize data workflows: webhooks, JSON/XML parsing, Salesforce automation, Google Sheets, and Slack, TG notifications.
• Develop effective AI prompts to integrate large language models (LLMs) into business operations
• Development of Retrieval-Augmented Generation (RAG) models
• Monitor automation processes, resolve incidents promptly, and drive ongoing improvements
• Research of new tools, libraries and practices in the field of AI
  
   

This role is a great fit if you: 

• 1-3 years of experience with no-code/low-code automation, n8n as primary tool (Zapier/Make — a plus)
• Practical experience building at least one agent-based workflow (not a linear automation)
• Practical experience with REST APIs, OAuth2, webhooks
• Python or JavaScript — ability to write custom scripts/nodes for integrations
• Relational databases (SQL) — storing state, logs, scraping results
• Experience integrating at least one LLM provider (OpenAI/Claude/Ollama) into a production workflow
• Prompt engineering — writing and optimizing prompts
  
  The following would be a plus: 
• Experience with web scraping (Playwright, Scrapy, Selenium, or similar)
• Familiarity with agent frameworks (LangChain, LangGraph)
• Understanding of how queues and schedulers work (cron, SQS, or similar)
• Experience in the iGambling industry
• Basic knowledge of DevOps: CI/CD, monitoring
  
  What we offer:
• 24 days of vacation + days off
• Remote work — choose any corner of the world to “be with us”
• Support for your learning and professional development through external courses and educational activities (conferences, webinars, etc.)
• Benefit Café: reimbursement for sports activities, English language courses, and mental health support
• Health insurance
• Financial support during difficult life situations—we understand that this is an extremely challenging time for every Ukrainian, so we’re here for you not only on the “good days” but also on the “tough ones.”
• Employee referral program. The opportunity to directly influence business development and hiring strategy at a rapidly growing international company.

Hiring process: Recruiter interview → Interview with Hiring Manager → Reference check → Job Offer.

💌 It takes 7 days to review your resume.
If you haven’t heard back from a recruiter, it means your experience doesn’t currently match the requirements for this role—we’d be happy to stay in touch about other job openings!

We are looking for an AI/Automation Engineer to help us design and ship LLM-powered automation across internal tools and client-facing products. You will work directly with a German client's engineering team, building agentic workflows, RAG pipelines, and process automation.

What you'll do:

- Design, build and maintain LLM-based automation and agentic workflows

- Build and optimize RAG (retrieval-augmented generation) pipelines

- Integrate LLM APIs (OpenAI, Anthropic, Azure OpenAI) into existing systems

- Automate internal business processes (Zapier, Power Automate, n8n or similar)

- Collaborate with backend/data teams on data pipelines feeding AI systems

- Monitor, evaluate and improve the quality and reliability of AI-driven workflows

Requirements:

- 3+ years of hands-on software engineering experience, including at least 1 year working on LLM/AI-driven products

- Practical experience with LangChain, LlamaIndex or similar frameworks

- Experience building RAG pipelines (vector databases, embeddings, chunking strategies)

- Solid Python skills

- Experience integrating with LLM provider APIs

- English level C1, comfortable in daily communication with a German client

Nice to have:

- Experience with agentic frameworks (AutoGen, CrewAI, LangGraph)

- Experience with workflow automation tools (Zapier, Power Automate, n8n)

- Familiarity with prompt engineering and evaluation frameworks

We offer:

- Competitive salary depending on experience

- Long-term project with a stable international client

- Flexible remote work, minimal bureaucracy

- Direct communication with the client's tech team, no unnecessary layers

We are looking for a Creative Developer / Vibe Coder who can quickly turn ideas into working digital experiences using modern AI coding tools.

Requirements:

• Practical experience with AI coding tools such as Claude Code, Cursor, Codex, Lovable, v0, Replit, or similar
• Good knowledge of HTML, CSS, JavaScript, and TypeScript
• Good understanding of Git / GitHub
• Strong product sense and basic understanding of UI/UX
• Ability to quickly learn new tools, APIs, and frameworks

• Ability to review, debug, and improve AI-generated code instead of blindly accepting it

   

Nice to have:

• Previous experience in frontend, backend, or full-stack development
• Understanding of HTML, CSS, JavaScript, and TypeScript
• Experience with React, Next.js, Node.js, Python, or similar technologies
• Experience working with APIs, databases, authentication, and third-party integrations

• Experience with tools such as Supabase, Firebase, PostgreSQL, n8n, Make, Vercel, or Cloudflare

   

🚀 Responsibilities:

• Build interactive prototypes, landing pages
• Turn rough ideas, references, and creative briefs into working products
• Use Claude Code, Cursor, Codex, and other AI coding tools in the development process
• Build frontend and lightweight backend functionality
• Create fast proof-of-concepts for new ideas
• Debug and improve AI-generated code
• Research new AI development tools and integrate them into the workflow
   

When applying, please include 2–5 products, prototypes, or experiments you have built using AI coding tools.

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

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

About us

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

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

The role

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

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

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

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

What we expect

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

Core

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

Also part of the work

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

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

What matters more than the CV

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

How we work

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

Interview

1. Introductory interview.

2. Technical interview with us.

3. Test task.

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

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

Ми шукаємо Senior Software Engineer, який долучиться до розвитку платформи для AI Agents нідерландської технологічної компанії та працюватиме на перетині AI Agents, Full-stack Development і Cloud Infrastructure.

Ви будете розробляти production-рішення end-to-end від технічної специфікації та архітектури до реалізації, тестування й deployment.

Що важливо:

- 5+ років комерційного досвіду у software engineering.
- Сильний Python або TypeScript / Next.js та готовність працювати з обома напрямами.
- Досвід розробки API, PostgreSQL, data models, migrations та access control.
- Досвід роботи з cloud production systems, containers, CI/CD та configuration management.
- Здатність працювати з існуючим mature codebase / monorepo.
- LangGraph, LangChain або інший agent framework у production.
- Досвід роботи з LLM-powered продуктами.
- Upper-Intermediate англійська для щоденної письмової та усної комунікації.

Буде плюсом:

- GCP, Terraform.
- Next.js App Router, Prisma, Auth0 / NextAuth.
- Gemini / Vertex AI, Langfuse / LangSmith.
- Досвід із PDF/document processing, OCR або table extraction.

Що потрібно робити:
 

- Розробляти та покращувати AI agent workflows на базі LangGraph / LangChain.
- Працювати з LLM, structured outputs, validation та AI extraction pipelines.
- Розвивати web-продукт на Next.js / React / TypeScript.
- Працювати з Python, API, PostgreSQL, Prisma.
- Розгортати та підтримувати production-системи в GCP.
- Працювати з Terraform, Docker, GitHub Actions, CI/CD.
- Дбати про якість, тестування, observability та надійність production-систем.

Ми пропонуємо:

- Remote work
- Конкурентну заробітну плату
- Роботу над реальним AI-powered продуктом у міжнародній команді.
- Високий рівень технічної автономності та ownership.
 

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

We are looking for a Senior AI Developer to join our CEE IT Digital Solutions team and build high-quality enterprise AI solutions.

You will work closely with other developers, business analysts, project managers, security teams, and other stakeholders to design, develop, deploy, and support AI-based solutions built primarily on the Microsoft Power Platform and Azure ecosystem.

This role is ideal for a hands-on developer with strong experience in Microsoft Copilot Studio, Microsoft Foundry, AI agents, Azure services, and modern AI engineering frameworks. The developer should be able to quickly prototype, deliver MVPs, and build production-ready solutions. Continuously improving AI solutions while applying strong engineering, security, and delivery practices is required. 

What You’ll Do:

• Build, test, deploy, and support AI-based solutions using Microsoft Copilot Studio, Microsoft Foundry, Azure and related technologies. 
• Design and implement AI agents, workflows, orchestration patterns, integrations, and Human-in-the-Loop solutions. 
• Develop AI-powered applications, APIs, services, prototypes, MVPs, and production-ready solutions. 
• Implement RAG, knowledge grounding, embeddings, chunking, and vector search approaches to improve AI solution quality and relevance. 
• Build integrations with other enterprise systems, Microsoft services, databases, APIs, and cloud services. 
• Develop solutions using Azure services such as App Services, Functions, Blob Storage, Key Vault, Azure SQL, and other Azure platform services. 
• Optimize prompt engineering strategies, model selection, evaluation, monitoring, observability, and continuous improvement of AI solutions. 
• Troubleshoot, debug, optimize, and maintain AI solutions across development, testing, and production environments. 
• Create reusable assets, templates, write technical documentation, and engineering best practices. 
• Support members to grow AI engineering capabilities across the team. 

What We’re Looking For:

• 5+ years of experience in software engineering, application development, or intelligent automation development. 
• 2+ years of experience designing and delivering AI, GenAI, intelligent automation, or machine learning solutions. 
• Advanced hands-on experience with Microsoft Copilot Studio - agents, workflows, evaluation, orchestration, integrations, skills, topics etc. 
• Strong hands-on experience with Microsoft Foundry including custom agent hosting on Foundry. 
• Strong experience with Azure OpenAI and Azure AI Search. 
• Proficient Python development skills. 
• Basic knowledge of Streamlit for building AI applications, demos, internal tools, or prototypes. 
• Strong understanding of REST APIs and hands-on experience with API development frameworks and tools such as Spring Boot, FastAPI, Express.js or similar technologies. 
• Practical experience with Azure clous services such as App Services, Azure Functions, Blob Storage, Key Vault, Azure SQL, storage, integration, and other Azure platform services. 
• Hands-on experience with SQL and relational databases for application development, data analysis, and troubleshooting. 
• GitHub and source control knowledge. 
• Prompt Engineering skills. 
• MCP - Model Context Protocol applied knowledge. 
• Be familiar with LangChain and/or LangGraph 
• Strong understanding of AI-assisted software development practices, including the effective use of tools such as M365 Copilot, Cursor AI, Claude Code, and similar AI-powered engineering assistants. 
• Solid knowledge of embeddings, chunking strategies, vector search architectures, and RAG implementations. 
• Experience implementing agentic workflows, orchestration patterns, multi-agent solutions, and Human-in-the-Loop AI workflows. 
• Experience with LLM evaluation techniques, AI quality metrics, benchmarking approaches, and solution evaluation methodologies. 
• AI observability, tracing, and monitoring concepts. 
• AI cost optimization and token consumption awareness. 
• Ability to write clean, modular, maintainable, and well-documented code. 
• Ability to communicate effectively with both technical and business audiences. 
• Fluent spoken and written English. 

What Is Nice to Have:

• Power Platform - Power Automate. 
• Azure DevOps CI/CD. 
• Microsoft Graph API. 
• Agentic frameworks: Microsoft Agent Framework, AutoGen, CrewAI, and other modern agentic frameworks. 
• Vector Databases knowledge: Qdrant, ChromaDB. 
• Data & Analytics Platforms: Databricks, Microsoft Fabric. 
• Containers, Docker, Kubernetes. 
• Voice agents and conversational AI solutions, including platforms such as ElevenLabs or similar providers. 

Policy statements:
https://www.pwc.com/ua/uk/about/privacy.html

We're a Registered Anthropic Partner and an Official Advanced Tier AWS Partner, currently serving 100+ enterprises and startups across the US, EU, and other Tier 1 markets.
 

We're starting a new product, Tokensaver: unified access to AI models for companies that use AI heavily, with the explicit goal of cutting their AI bill. You'd be the first engineer on it, building from scratch. 

We are looking for a Founding AI Engineer who will build the "Tokensaver" product from scratch.

AI Router technology. This is the core of the product, so it should be the part you're most curious about. We expect candidate to have genuine interest in AI Router technology: model selection, routing logic, caching, fallbacks, and the cost/quality tradeoffs behind each. 

What we expect:

• 3+ years of practical software engineering experience
• You build with AI agents daily and use latest AI coding approaches in your daily workflow
• Tech stack: Node.js, TypeScript, Next.js, PostgreSQL, ClickHouse, basic knowledge of Go or Rust is a plus
• Hands-on experience with LLM APIs, agentic workflows, RAG, embeddings, structured outputs, prompt design, and where models break down
• Experience building or integrating MCP servers, APIs, connectors, and components
• Product-oriented thinking, understanding what to build - product judgment about what to ship and what to deliberately leave out
• Genuine interest in AI Router technology

What we offer and why it's great opportunity:

• Founding ownership. You're the founding engineering hire for Tokensaver product - you choose the architecture, the stack and decision on how to build. 
• Competetive base salary & equity compensation from day 1.
• Clear career growth. There is a clear path to becoming the technical leader of Tokensaver product and building the engineering team around you.
• Work on technology that is just being invented right now. AI routing and multi-model infrastructure are still at a very early stage, with best practices being defined in real time. You’ll work on intelligent model selection, caching, fallbacks, observability, and cost/quality/latency optimization at the frontier of modern AI infrastructure.
• Distribution & real Credibility behind the company from day one. We're a Registered Anthropic Partner and an Official Advanced Tier AWS Partner. Our existing business already serves 100+ companies across the US, Europe, and other Tier 1 markets, giving Tokensaver a strong base for early users, feedback, and distribution.

To apply, please answer 2 questions:

1) How do you use AI tools in your daily work? Be specific - which AI tools, for which parts of the job. 

2) Our goal is to build an AI Router Technology - unified access to AI models that cuts costs for businesses already spending heavily on AI. How would you approach building this from scratch?

Ready to shape intelligent decision-making at the scale of hundreds of millions of auction requests daily? We are looking for a Senior Machine Learning Engineer to join a dedicated Sigma Software team building advanced predictive systems for the programmatic advertising ecosystem.

In this role, you will work on production-grade machine learning models, real-time optimization pipelines, and scalable infrastructure powering a live ad exchange platform. The position is fully remote with flexible collaboration opportunities across distributed teams.

We at Sigma Software value engineering ownership, technical excellence, and long-term partnerships. This project offers the opportunity to work on complex ML challenges with measurable business impact while contributing to a modern, high-load AdTech platform.

CUSTOMER

Our Customer is a technology company operating supply-side infrastructure in the programmatic advertising ecosystem. The company manages a large-scale ad exchange processing hundreds of millions of auction requests per day and is investing in an in-house predictive decisioning capability to improve targeting, optimization, and marketplace efficiency.

PROJECT

You will join a Sigma Software team responsible for designing and building a predictive modeling and optimization platform integrated with a live ad exchange. The platform scores and filters supply in real time, predicts conversion probability, identifies high-performing audience contexts, builds look-alike audiences, and optimizes business objectives under explicit operational constraints.

The solution includes scalable training pipelines, model orchestration, offline evaluation systems, deployment automation, and monitoring for model quality and drift detection.

Key Technologies: Python, SQL, XGBoost, LightGBM, CatBoost, Kubernetes, Docker, GCP, MLflow, Kubeflow, Airflow, Argo, Terraform

Job Description

• Build and validate predictive models including censored bid-landscape modeling, contextual over-indexing, conversion propensity prediction with delayed labels, and positive-unlabelled learning
• Design and implement offline evaluation frameworks using inverse propensity scoring and doubly-robust estimators over logged decisions
• Define exploration strategies and propensity logging approaches to support reliable model evaluation and optimization
• Calibrate and optimize models for individual advertisers while independently monitoring ranking and calibration quality
• Develop and operate scalable training orchestration pipelines across hourly, daily, and weekly execution schedules
• Build and maintain model registry workflows including lineage tracking, evaluation gates, and auditable promotion processes
• Implement isolated per-advertiser model instances with dedicated configuration and namespace separation
• Own model publishing pipelines with freshness SLO compliance and documented fallback procedures
• Run shadow deployments and champion/challenger experiments with production-grade measurement logging
• Monitor feature drift, prediction drift, train/serve skew, calibration decay, and label latency in production environments
• Ensure reproducibility through pinned environments, containerized builds, and reproducible data snapshots
• Participate in post-launch optimization cycles and evaluate business impact using statistically grounded lift measurements
• Prepare technical documentation and support knowledge transfer to the Customer’s engineering and data teams

Qualifications

• 6+ years of combined commercial experience in Data Science and ML Engineering, including at least 2 years in each area
• Strong production experience with machine learning systems delivering measurable business impact
• Deep expertise in Data Science/ML Engineering with solid hands-on competence in the complementary domain
• Strong practical experience with gradient-boosted trees such as XGBoost, LightGBM, or CatBoost
• Advanced knowledge in at least one of the following areas: delayed labels, PU learning, off-policy evaluation, hierarchical estimation, constrained optimization
• Production-level Python and strong SQL skills
• Hands-on experience with ML orchestration, CI/CD pipelines, and model registry management
• Practical experience with Kubernetes and Docker in production environments
• Strong experimentation and evaluation skills, including statistical interpretation of results
• Readiness to support operational ownership and participate in on-call activities
• Upper-Intermediate or higher English level

WILL BE A PLUS

• Experience in AdTech, RTB, ranking, pricing, or real-time marketplace systems
• Knowledge of contextual bandits and off-policy evaluation techniques
• Experience with multi-tenant ML systems and data isolation approaches
• Background in batch scoring systems with freshness SLA requirements
• Hands-on experience with MLflow, Kubeflow, Airflow, or Argo
• Experience with GCP services including Vertex AI and BigQuery
• Familiarity with Terraform and on-prem Linux infrastructure