Jobs ML / AI

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

🟠 Details: we are looking for a Senior Computer Vision & Machine Learning Engineer to join our team and work on innovative AI and Computer Vision solutions for international clients.

One of the projects you may join focuses on developing an AI-powered system for extracting structured spatial data from 2D and 3D floor plan imagery. It is a practical, R&D-driven project involving room detection, layout extraction, area estimation, and solving real-world computer vision challenges such as perspective distortion, occlusion, and scale estimation.

The position can be either full-time or part-time, depending on the candidate’s level of expertise and relevant hands-on experience with similar CV/ML workflows.

🟠 Qualifications:

• 4+ years of hands-on experience in Computer Vision & Machine Learning.
• Strong practical experience with image segmentation, object detection, image preprocessing, and geometry-based computer vision.
• Experience with OpenCV and classical computer vision techniques.
• Experience with modern segmentation and detection architectures such as YOLO, U-Net, SegFormer, Detectron2, SAM, or similar.
• Strong Python engineering skills.
• Experience with polygon/vector processing tools such as Shapely, OpenCV contours, or similar geometry libraries.
• Ability to work with imperfect visual inputs and design robust fallback logic.
• Understanding of OCR-based extraction using tools such as Tesseract, PaddleOCR, docTR, or cloud OCR services.
• Ability to design end-to-end CV pipelines from experimentation to reproducible prototypes.

🟠 Would be a plus:

• Experience with floor plan recognition, architectural drawings, construction tech, real estate tech, or takeoff/estimation workflows.
• Experience with perspective correction, homography, depth estimation, vanishing lines, or top-down reconstruction.
• Experience with depth models such as MiDaS or Depth Anything.
• Experience with synthetic data generation or image-to-image normalization workflows.
• Experience building ML evaluation and observability pipelines.
• Experience integrating ML pipelines into backend services or APIs.
• Experience leading technical direction for R&D-heavy projects.

🟠 Responsibilities:

• Design and implement a render-to-plan pipeline for converting 3D floor plan renderings into simplified 2D measurement-ready layouts.
• Develop CV/ML approaches for room segmentation, boundary detection, polygon extraction, room classification, and space labeling.
• Work with complex visual inputs including top-down plans, oblique renders, dollhouse-style layouts, and low-quality marketing imagery.
• Estimate room-level areas using geometry, OCR, scale evidence, metadata, and heuristic-based validation approaches.
• Define evaluation logic, confidence scoring, and quality metrics for pipeline outputs.
• Produce structured outputs and visual QA overlays for downstream flooring takeoff workflows.
• Collaborate with AI/backend engineers to integrate the CV pipeline into a web-based PoC tool.
• Document technical assumptions, limitations, risks, tradeoffs, and fallback strategies.

🟠 Interview steps:

• Screening with the recruiter (about 45 minutes).
• Take-home task.
• Technical interview with ML/CV Engineer and PM (about 1 hour).

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.

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

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

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

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

📍 Work location: remote from Ukraine.

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

Key Responsibilities

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

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

   

Requirements

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

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

   

What Success Looks Like in Year One

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

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

   

Why Join Automat-it?

Be at the Forefront of Cloud Innovation

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

Work on Meaningful, Large-Scale Impact

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

Accelerate Your Career Trajectory

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

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

Thrive in a Culture of Excellence

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

Global Reach, Boutique Feel

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

Benefits

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

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

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

We are looking for a 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.

Tech Stack:
• Python (5+ years)
• Strong working knowledge of SQL for data extraction and analysis (3+ years preferred)
• API integration with LLMs: OpenAI, Azure OpenAI, Claude
• ML/LLM architectures: RAG, embeddings, retrievers
• DevOps/MLOps: Docker, deployment of models on dedicated servers or cloud infrastructure
• Nice to have: FastAPI, vector databases (FAISS, Weaviate), prompt engineering
• Tools under consideration: LangChain or similar frameworks for rapid prototyping of LLM-based pipelines
 
Responsibilities:
• Design and build a production-grade LLM+RAG system for contextual data analysis
• Integrate external data sources and tools into the assistant’s knowledge base
• Set up and fine-tune LLMs on dedicated infrastructure or in the cloud
• Develop complex multi-step agents and orchestrated pipelines
• Build integrations with different platforms via API
• Ensure performance, scalability, and CI/CD automation of the ML systems
 
Requirements:
• Proven experience building real-world AI/ML products
• Deep understanding of the full machine learning lifecycle
• Experience working with popular LLM APIs and frameworks
• Ability to work independently and propose technical solutions
• Hands-on experience with LLM+RAG design patterns and prompt engineering
 
We Offer:
 

• A fully remote role with flexible engagement (full-time or contract) – you can also choose to work in the office or in a hybrid format if you prefer
• An opportunity to influence and shape the architecture and overall direction of the AI product
• Work at a large product company with a wide range of in-house developed solutions, many of which have been leading the market for over 15 years
• Access to diverse internal projects, enabling you to develop various skill sets and show your potential in different areas
• A competitive compensation package that reflects your experience and skills, with opportunities for review based on performance

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.
 

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

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

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 Junior AI Developer to join our CEE IT Digital Solutions team and help build innovative AI solutions for business users.

You will work closely with experienced developers, business analysts, project managers, security teams, and other stakeholders to support the design, development, testing, and maintenance of AI-powered solutions built primarily on Microsoft Copilot Studio, Power Platform, and the Azure ecosystem.

This role is ideal for someone who is passionate about AI technologies, enjoys learning new tools, and wants to grow their skills in enterprise AI development. You will have the opportunity to work on AI agents, automation solutions, and modern AI technologies while being supported by experienced team members. 

What You’ll Do:

• Assist in building, testing, deploying, and supporting AI-based solutions using Microsoft Copilot Studio, Power Platform, Azure, and related technologies. 
• Configure and maintain AI agents, workflows, topics, prompts, and integrations. 
• Support the development of AI-powered business applications, prototypes, and proof-of-concept solutions. 
• Work with enterprise knowledge sources to improve AI agent responses and user experience. 
• Create and maintain integrations with Microsoft services, APIs, and business applications. 
• Participate in solution testing, troubleshooting, issue resolution, and continuous improvement activities. 
• Contribute to technical documentation, user guides, and knowledge-sharing materials. 
• Learn and apply AI best practices, governance requirements, and security standards. 
• Collaborate with team members and stakeholders to understand business requirements and translate them into practical AI solutions. 

What We Need From You:

• 1–2 years of experience in software development, application support, automation, Power Platform, or a related technology role.
• Interest in Artificial Intelligence, Generative AI, intelligent automation, and modern digital technologies.
• Interest in building AI agents and workflow-based solutions.
• Basic Python skills (e.g., variables, functions, algorithms).
• Basic hands-on experience with Microsoft Copilot Studio, Power Platform, or similar low-code development platforms.
• Familiarity with Power Automate workflows and business process automation.
• Basic understanding of AI agents, prompts, and Generative AI concepts.
• Understanding APIs and application integrations.
• Understanding of Generative AI concepts such as RAG, vector search, and knowledge grounding.
• Basic knowledge of Azure services and cloud technologies.
• Familiarity with data sources such as SharePoint, Dataverse, SQL, or other business systems.
• Basic knowledge of GitHub or version control concepts.
• Strong problem-solving and analytical skills.
• Willingness to learn new technologies and continuously develop technical skills.
• Good communication skills and ability to work in a collaborative environment.
• Upper-intermediate English proficiency.

What Is Nice To have:

• Microsoft Foundry exposure.
• Familiarity with Azure services such as App Services, Functions, Storage, or Azure SQL.
• Awareness of agentic AI frameworks such as LangChain, LangGraph, AutoGen, or Microsoft Agent Framework.
• Microsoft Graph API knowledge.
• Azure DevOps, CI/CD, or GitHub workflows.
• Experience with Power BI, Microsoft Fabric, or other analytics platforms. 

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

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

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

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

This is your opportunity to:

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

Responsibilities: 

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

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

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

We are looking for an AI Enablement Lead to join our team! The AI Enablement Lead will drive the identification and implementation of AI use cases across IT Operations, IS Operations and Governance. Working closely with operational teams and the wider initiatives. The role translates business challenges into practical AI solutions with measurable productivity improvements.

 

Responsibilities

• Identify and prioritize AI use cases across IT Operations, IS Operations and Governance.
• Translate operational challenges into practical AI solutions together with business and technical experts.
• Define solution concepts, implementation approaches and priorities based on expected productivity improvement.
• Coordinate delivery across internal teams, external providers and the AI Solutions Engineer.
• Ensure alignment with the wider AI initiatives, technology standards, governance and security requirements.
• Drive adoption of implemented solutions within the operational teams.
• Establish baselines and measure the productivity improvements achieved through each use case.
• Maintain the AI use-case roadmap and ensure focus on measurable business value.

Required skills

• Strong experience in AI enablement, AI solution design or digital transformation.
• Good understanding of AI agents, Retrieval-Augmented Generation, prompt engineering and workflow automation.
• Experience with technologies such as Azure AI, Azure OpenAI, Microsoft Copilot and Copilot Studio.
• Ability to translate business requirements into feasible technical solutions.
• Strong stakeholder management and communication skills.
• Experience coordinating internal teams and external implementation partners.
• Good understanding of AI governance, security, risk and lifecycle-management requirements.
• Strong analytical skills and experience measuring productivity improvements.

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?