Jobs ML / AI

About the Role We are looking for a Senior MLOps Architect to lead high-stakes AI and Data projects for our enterprise customers. In this role, you will act as the technical authority, helping clients bridge the gap between experimental data science and production-grade operations primarily on Google Cloud Platform. You will lead projects that involve building end-to-end MLOps pipelines from scratch, migrating workloads to Vertex AI, and standardizing model deployment. You will usually act as the "trusted advisor" owning the architecture and the delivery. 

Key Responsibilities 

● Customer Leadership: Lead technical kickoffs, discovery workshops, and architecture reviews directly with client CTOs, VP R&D, and Data Science leads. 

● Architecture & Design: Design robust, scalable MLOps architectures using Google Cloud Platform services (Vertex AI, GKE, BigQuery, Cloud Build, Cloud Storage). 

● Implementation & Automation: Build "Golden Paths" for model deployment. Implement CI/CD pipelines for ML, automated retraining workflows, and model monitoring systems to allow Data Scientists to deploy self-sufficiently. 

● Production Engineering: Operationalize ML models in high-scale environments. Troubleshoot complex infrastructure issues (e.g., GPU provisioning, container orchestration, scaling strategies). 

● Strategic Advisory: Advise customers on best practices for MLOps maturity, cost optimization (FinOps for AI), and data governance. Requirements (Must Have) 

● MLOps Experience: At least 3+ years specialized in MLOps and building production ML pipelines. 

● Google Cloud Expert: Deep, hands-on experience with GCP core services (Compute Engine, GKE, IAM, Networking) and specifically Vertex AI (Pipelines, Feature Store, Model Registry).

● Customer-Facing Skills: Proven ability to lead projects, manage stakeholders, and explain complex technical concepts to clients. 

● Containerization & Orchestration: Strong proficiency with Docker and Kubernetes (GKE). 

● Coding: Strong proficiency in Python and SQL. 

● CI/CD for ML: Experience implementing pipelines using tools like Cloud Build, GitHub Actions, or Jenkins. Big Advantage (Nice to Have) ● Databricks Expertise: Experience with the Databricks Lakehouse platform, Unity Catalog, and MLflow is a major plus. Many of our clients use Databricks alongside GCP, so this skill will be highly valued. 

● Certifications: Google Cloud Professional Machine Learning Engineer or Professional Cloud Architect. 

● GenAI Experience: Experience deploying Large Language Models (LLMs) or working with Gemini/Claude APIs in production.

Remote AI Vibe Developer

Open-Source LLM Training & Agentic Product Engineering (Remote)

Role Summary

We’re hiring an AI Vibe Developer — a product-minded engineer who ships production-quality software quickly by combining strong engineering fundamentals with AI-assisted (“vibe coding”) workflows and modern LLMOps best practices (evals, tracing, guardrails, prompt/version management).

A core requirement of this role is working with an open-source / open-weights LLM that we will fine-tune and run ourselves. You’ll help take it end-to-end — from data → training → evaluation → serving → iteration — and integrate it into real, user-facing product flows.

Responsibilities

1) Build & ship AI-powered product features (end-to-end)

• Deliver features from prototype to production: UI, backend, integrations, deployments, and iteration.
• Use AI coding tools/agents to accelerate delivery while maintaining code quality (tests, reviews, standards).
• Own rollout strategy: feature flags, staged releases, rollback plans, and production support.

2) Design agentic workflows and “AI inside” capabilities

• Implement LLM features such as:
  • Tool/function calling with strict schemas and reliable fallbacks.
  • Retrieval-Augmented Generation (RAG) when needed (grounding, freshness, controllable outputs).
  • Multi-step agent flows (routing, planner/executor patterns, memory/context strategies).
• Integrate external tools/services securely (internal APIs, CMS, analytics, ticketing, CRM, etc.).

3) Open-source LLM training & lifecycle ownership

• Help select the best open-weights model baseline based on quality, licensing, latency, context length, and multilingual support.
• Build and maintain the data pipeline: collection, cleaning, de-duplication, PII redaction, formatting, and dataset versioning.
• Run fine-tuning workflows (e.g., SFT and preference tuning when relevant) with reproducibility and experiment tracking.
• Build a practical evaluation suite (golden sets + edge/adversarial cases) to gate training runs and releases.
• Drive iterative improvement using an error taxonomy: failures → targeted data improvements → retrain → regression checks → release notes.

4) Inference, serving, and performance optimization

• Package and deploy the model for production serving (containerized) with reliability and observability.
• Optimize serving latency/cost via batching, caching, quantization, and safe model routing where applicable.
• Implement system-level guardrails: schema-constrained outputs, input validation, tool allowlists, rate limits, and safe degradation paths.

5) Evals-first development and observability

• Define success metrics (quality, groundedness, refusal behavior, latency, cost, user satisfaction) and track them continuously.
• Instrument LLM flows with tracing (inputs, tool calls, retrieved docs, outputs, model/version, latency, cost).
• Maintain prompt/version control and changelogs; support A/B tests and controlled rollouts.

6) Collaboration & enablement

• Work closely with Product, Design, Data, and QA to translate “vibes” into measurable outcomes.
• Create lightweight playbooks: eval templates, prompt guidelines, incident runbooks, and “how we build with AI here.”
• Improve team velocity by sharing patterns and avoiding AI productivity pitfalls (over-trusting outputs, under-testing).
•  

Requirements

Core Engineering

• 3+ years of software engineering experience (or an equivalent portfolio of shipped products).
• Strong proficiency in Python (required for the training stack), plus at least one of: TypeScript/Node.js, Go, or Java.
• Strong fundamentals: API design, async workflows, testing strategy, debugging, CI/CD, Git, and production ownership.

Open-Source LLM Engineering (Must-have)

• Hands-on experience fine-tuning and/or deploying open-weights LLMs end-to-end: data → training → evaluation → serving.
• Strong understanding of:
  • Tokenization and context budgeting
  • Dataset quality, leakage risks, and evaluation methodology
  • Instruction tuning concepts and preference optimization fundamentals

3Shape develops 3D scanners and software solutions that enable dental and hearing professionals to treat more people, more effectively. Our products are market leading innovative solutions that make a real difference in the lives of both patients and dental professionals around the world.

3Shape is headquartered in Copenhagen, with development teams in Denmark, Ukraine, North Macedonia and with a production site in Poland.

We are a global company with presence in Europe, Asia and the Americas. Founded in a year 2000, today, we provide services to customers in over 130 countries. Our growing talent pool of over 2200 employees spans 50 nationalities.

3Shape as an employer is committed to Ukraine. Our UA office was founded in 2006, and we are continuing to grow, hire and take care of our employees even during the war in Ukraine. Among other actions, we support our contractors who are called to the military service, as well as care about our colleagues’ mental health by implementing different activities.

About the role:

As an AI Application Specialist, you will spearhead the technical execution of 3Shape’s After Sales AI Strategy, transforming how we support thousands of dental clinics worldwide. You will bridge the gap between business needs and technical implementation, working closely with the AI Business Owner to design and build high-impact solutions. This is a role for a builder who wants a seat at the table. Beyond execution, you can also play an active role in shaping our AI strategy, directly influencing how we adopt and scale next-gen AI paradigms.

Your key responsibilities will be:

• AI Integration: Lead the integration of external AI tools, ensuring every solution delivers measurable business impact.
• Agentic Systems: Design, test, and productionize sophisticated chat and voice agents featuring LLM reasoning and TTS integration.
• Scalable Automation: Architect workflows that streamline operations and drive efficiency across the organization.
• End-to-End Ownership: Take full accountability for the lifecycle of a product from initial concept and design to production and maintenance.
• Enablement: Empower internal teams by providing the training needed to maximize the adoption of custom AI solutions.
   

Your profile
What we are hoping you have/are:

Education & Experience:

• 2–4 years of experience in Software Engineering or AI/ML development, with a deep understanding of how to build and maintain scalable systems.
• Proven end-to-end solution ownership. You have a track record of shipping and supporting AI solutions in production.
   

Technical Skills:

• Agentic AI Stack: Deep hands-on experience with Agentic Systems, prompt engineering, tool-use (function calling), and RAG/knowledge-base integration. Knowledge of MCP server protocols would be a plus.
• Engineering: Strong Python skills (FastAPI/Flask). Experience in other coding languages would be a plus.
• Tooling: Familiarity with CX platforms (Genesys), Data environments (Databricks/Palantir), or Voice synthesis (ElevenLabs) would be a plus.
   

Being the part of us means:

• Meaningful work that helps to change the future of dentistry
• Work in a unique professional, friendly and supportive environment
• Constant professional growth and development
• A healthy work-life balance
• Comprehensive benefits incl. 24 working days of annual vacation; medical insurance; paid sick leaves and child sick leaves; maternity and paternity leaves etc
• Breakfasts and lunches in the office
• Good working conditions in a comfortable office in UNIT.City
• A parking lot with free spaces for employees
• Occasional business trips to Western Europe
• Opportunity to become a part of the success that 3Shape has created over the past 25 years.

About us:

Erbis is a thriving tech powerhouse where innovation meets opportunity. We specialize in building cutting-edge software solutions that drive success for businesses worldwide. At Erbis, we don’t just develop software. We create impact. And to do that, we need the best talent in the industry. That’s where you come in.

Requirements:

• At least 1 year of recent hands-on experience in applied AI using Microsoft/Azure technologies
• Proven ability to implement AI solutions for real business problems with measurable ROI
• Experience identifying practical applications of existing generative AI technologies in business contexts
• English level: Upper-Intermediate or above
   

Soft skills:

• Excellent communication skills and ability to collaborate with stakeholders to define AI use cases
• Analytical and business-oriented mindset
• Cross-functional collaboration
• End-to-end ownership
• Proactive problem solving under uncertainty
• Architectural thinking
• Continuous improvement & knowledge sharing

Responsibilities:

• Design, develop, and deploy AI-powered applications using Microsoft and Azure technologies
• Identify and evaluate opportunities for applying generative AI and other AI technologies to real business challenges
• Collaborate with business teams to define AI use cases, success metrics, and ROI
• Build scalable, maintainable, and secure AI solutions within Microsoft stacks
• Stay up-to-date with AI trends and emerging technologies, recommending innovative solutions where applicable
• Document architectures, workflows, and AI models for internal knowledge sharing and handoff

Our perks and benefits:

• Paid Vacation days: 24 working days
• Paid Sick days: 15 working days
• The opportunity to dedicate up to 10% of working hours for self-education and personal development

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.

We are looking for a Senior ML & AI Engineer to join us as part of our team.

About the role

PitchBook’s Machine Learning Engineer is responsible for using machine learning, statistical modeling, and natural language processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for the capital markets. This role will also serve as a resource and mentor for junior members of the team. A strong motivation to succeed is critical and everyone has the opportunity to shape the long-term direction of our team.

About the project

PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more.

Team

1 EM, 5 ML Engineers

Work Environment

The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology.

As a qualified expert, You will

• Work with GenAI & LLMs: Design, develop, and fine-tune generative AI models using transformer architectures. Implement advanced techniques to create practical solutions for real-world challenges.
• Use Modern Toolkits: Leverage frameworks like LangChain, LangGraph, and LangSmith to build automated pipelines and intelligent agents. Integrate these tools with vector databases for efficient similarity search and real-time analysis.
• Extract Data Insights: Process and analyze large volumes of unstructured data using embeddings and statistical modeling to identify meaningful insights.
• Build Scalable Systems: Collaborate with cross-functional teams to create production-grade ML systems that handle real-time, high-volume data processing.
• Mentor & Lead: Act as a mentor for junior team members and stay updated on trends in Agentic AI, transformer models, and generative systems.
• Collaborate & Communicate: Work with Product and Engineering teams to improve data management and support innovation. Present complex analyses clearly and effectively.
• Tech Stack & Focus Areas: Work with generative AI and transformer models, integrating frameworks like LangChain, LangGraph, and LangSmith to automate workflows and build intelligent systems. Use PyTorch, Scikit-Learn, and Spacy to build NLP pipelines. Implement vector databases for high-dimensional data embeddings and develop hybrid models to extract insights from diverse data sources.

We’re looking for you if you have

• Educational Background:You hold a Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field.
• Experience:You bring 4+ years of production experience in the ML field, with a track record in developing transformer-based models and deploying them in scalable systems.
• Technical Expertise:
  • Proficient in Python and machine and deep learning frameworks like TensorFlow, PyTorch, ScikitLearn, Spacy or other.
  • Experienced in natural language processing and modern LLM based techniques.
  • Experience with full ML lifecycle, data preprocessing, training, evaluation stages and monitoring techniques
  • Skilled with SQL and data extraction methods.
• Innovative Thinker:

You thrive on solving complex problems and are always exploring new trends in Generative AI.

• Collaborator & Communicator:

You’re an excellent communicator able to collaborate and express your thoughts in a professional manner to team members, other engineering teams and stakeholders.

• Domain Knowledge:

Exposure to financial services, investment banking, venture capital, or private equity is nice to have.

What’s in it for You

Reveal great tech solutions

Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.

Experience an agile and flexible working environment

Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work.

Embrace the opportunity for personal and professional growth

Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more.

Be among like-minded people

Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program.

Про компанію SPD TechnologySPD Technology is a custom software product development and IT consulting company with a world-class team of over 600 experts with extensive expertise in solving big-time technical challenges, efficiently managing large-scale software development efforts, and seamlessly integrating with the client’s business through tailored, long-term partnerships for delivering cutting-edge tech solutions that drive clients' growth.

Our major expertise includes 10 key industries: Fintech, E-commerce, Telecom / IoT, e-Learning, Logistics, Insurance, Biotech, Cybersecurity, Medicine, Wellness. Our top-notch engineering teams deliver Web, Mobile, AI/ML or Enterprise solutions for world-renowned businesses and budding startups. Our key clients are iconic brands such as PitchBook, MorningStar, Roche, and more. Ten of our clients report more than $100 million in annual revenue.

We have 3 development centers in Eastern Europe, and remote teams, working worldwide. With over 17 years of experience in designing, building, streamlining, and supporting software products, SPD Technology drives growth of businesses from the US, the U.K., Israel, Switzerland, Mexico, and other countries.

Let’s create empowering tech solutions together!

Ekreative is purposeful about every decision: how we hire, build long-lasting partnerships with our clients, set our development procedures, and impact social change with our finances. Since the very beginning, Ekreative has been committed to giving away a significant portion of our profit on a monthly basis to various charities, influencing thousands of lives. With over a decade of experience delivering innovative solutions, we’re now investing in AI to enhance both how we work and the value we deliver to our clients.

We are looking for a VP of AI — a visionary and hands-on leader dedicated to driving AI innovation across Ekreative. This is a full-time executive position focused on researching, testing, and integrating emerging AI technologies to elevate our software development capabilities and operational excellence.

The role has two core focuses:

1. Client-Facing Innovation

• Continuously explore and adopt AI technologies that enhance the quality, speed, and competitiveness of Ekreative’s client services
• Drive AI-powered improvements across design, development, testing, and delivery processes
• Collaborate with project teams to identify opportunities for AI integration into client products and services

2.Internal AI Enablement

• Leverage AI to optimize Ekreative’s internal workflows, knowledge management, and decision-making
• Implement and refine AI tools that improve efficiency across operations, HR, sales, and project management

• Foster a culture of AI adoption and continuous learning within the company

   

Key Responsibilities:

• Develop and lead Ekreative’s company-wide AI strategy and roadmap
• Research and evaluate new AI technologies, frameworks, and tools relevant to software development
• Partner with delivery, R&D, and operations teams to pilot and scale AI-driven initiatives
• Identify measurable KPIs and report progress to the executive team
• Build and mentor an internal AI innovation group or guild
• Stay ahead of global AI trends, ensuring Ekreative remains an early adopter in key areas

• Represent Ekreative’s AI expertise in client discussions, marketing, and industry events

   

Requirements:

• 7+ years of experience in software development, data science, or AI leadership, including at least 3 years in a senior or executive-level role
• Proven track record of implementing AI technologies in a commercial software or services environment
• Deep understanding of modern AI tools, platforms, and frameworks (e.g., GenAI, Copilot, Claude, OpenAI, Gemini, LLM fine-tuning, etc.)
• Strong leadership, communication, and stakeholder management skills
• Strategic thinker with the ability to convert emerging technologies into actionable business initiatives

• Experience leading cross-departmental innovation projects and managing technical change

   

We offer:

• Opportunity to shape the AI direction of an established, fast-evolving company
• Collaboration with a talented cross-functional team
• Flexible work environment
• Competitive compensation and long-term growth potential
• Partial reimbursement for medical insurance, sports activities, and English language courses
• Generous leave policy - 22 days of annual leave, 10 paid sick days per year
• Personal equipment policy offering MacBooks along with all necessary hardware and software for work
• Financial support for employees during specific life events (weddings, childbirth, etc)
• A people-focused corporate culture that prioritizes employee well-being

Hello! We’re looking for a motivated and tech-savvy Trainee AI Specialist to support our work on intelligent AI-driven systems. From smart chats and LLM prompt design to autonomous AI agents and process automation — you’ll get hands-on experience building tools that solve real-world business challenges.

 

Key responsibilities:

• Building and testing AI agents for lead research, client outreach, and pipeline management;
• Designing and refining prompts for Large Language Models (LLMs) to improve conversation quality and task performance;
• Automating business processes using n8n — integrating databases, scraping tools, and outreach platforms;
• Developing lightweight chatbots and conversational flows for use in marketing or support;
• Supporting data collection and processing to enable targeted outbound campaigns;

• Collaborating with team members to improve AI-driven workflows and propose better strategies.

   

Requirements:

• Solid interest in AI, LLMs, and workflow automation;
• Basic experience with tools like OpenAI, or agent frameworks;
• Basic understanding of Python, JavaScript/TypeScript and willingness to improve skills through practical application. 
• Practical understanding of n8n — or strong motivation to learn it quickly (experience building flows, connecting APIs, etc.);
• Strong problem-solving skills and the ability to independently conduct online research and experimentation;
• Upper-intermediate level of English (written and verbal);

• A self-starter with a learning mindset — not afraid to test, iterate, and improve.

   

What you will have with us:

• Regular Performance review;
• Paid out-of-office days;
• Opportunity to learn and improve your English.
• Flexible work schedule;
• Well-equipped office;
• Career Path and growth opportunities.

About company

We are a software development company that provides digital technology services from mobile and web development to custom software solutions. We're dedicated to delivering innovative, high-quality solutions tailored to your unique needs.

About the Role

We are building a large-scale conversational AI platform focused on personalized human–AI interaction. The product operates at significant real-world scale, serving tens of millions of users and processing over 80 million tokens per day. The platform works in a complex domain that requires advanced alignment, moderation, and low-latency inference.

We are looking for a Tech Lead to take ownership of the LLM direction and lead a small team of AI engineers. This is a hands-on role combining system design, model development, and production engineering. The product operates in an uncensored / NSFW environment, which requires careful, context-aware moderation rather than simplistic safety filters.
 

What You Will Do

• Lead and build the LLM systems powering the core conversational experience. You will architect and evolve the core chat loop, including context windows, memory and RAG pipelines, and inference performance.
• Own the full model lifecycle, including prompt design, supervised fine-tuning, and preference optimization. You will make decisions on when to fine-tune models, when to redesign retrieval pipelines, and how to manage data quality at scale.
• Design and implement moderation and alignment systems suitable for an explicit environment. This includes building custom classifiers and moving beyond binary safe/unsafe decisions toward nuanced, context-aware moderation.
• Work closely with DevOps and backend teams to deploy, monitor, and continuously improve production systems used by millions of users globally.
   

Requirements

• You have 8+ years of engineering experience and a strong track record of shipping ML or LLM-based systems to production at scale.
• You are highly proficient in Python and PyTorch and familiar with modern LLM tooling and infrastructure.
• You are comfortable working with NSFW content and understand the technical and ethical challenges of moderating explicit conversational systems.
• You have strong intuition for LLM behavior, including how prompting, sampling, and alignment techniques affect model outputs.
• You prioritize practical, shippable solutions and take ownership of system reliability, performance, and user impact.
   

Team & Environment

You will lead a small LLM team and collaborate closely with DevOps and web/backend engineers. The environment emphasizes autonomy, direct communication, and a strong bias toward execution and measurable impact.

This role is a hybrid Data Ops + ML Engineer position responsible for both data ingestion foundations and AI/ML capability. The platform analyses real customer conversations alongside CRM and campaign data to surface actionable insights for revenue teams. Having successfully delivered a working MVP, the next phase is focused on scaling, improving observability, and laying the foundation for multi-client onboarding. This is a "ground-up" ownership role, setting the standards for data and ML scale-out during a high-growth phase.

About the Product

• The platform is designed to identify customer patterns faster for marketing and commercial teams. It sits at the intersection of B2B, SaaS, LLMs, and sales enablement.
• Al-native platform: Analyses customer conversations and related
  sales/marketing data.
• Modern Stack: Built on a cloud-native stack using Google Vertex AI and serverless workloads.
• Status: A functional MVP is complete and entering scaling and
  enhancement.

Responsibilites

Data Ops

• Extend and automate ingestion connectors including email, transcripts, and conversational tools.
• Maintain standardised metadata and traceability from source to insight.
• Define and evolve data models that support RBAC, analytics, and AI
  retrieval.
• Own data quality validation, schema alignment, and error monitoring.

ML/LLM Engineering

• Improve prompt design, error-handling, and structured output quality.
• Optimise token cost, latency, grounding strategy, and hallucination
  safeguards.
• Introduce evaluation metrics for insight quality and utilisation.
• Partner with engineering for scalable model deployment and lifecycle management.

Must-Have Experience & Skills
Technical Requirements

• Experience: 4+ years in data engineering / ML engineering hybrid teams preferred.
• Languages: Python required.
  Cloud & Infra: Google Cloud Platform, especially Vertex AI and Cloud
  Functions.
• Data Platform: PostgreSQL experience and data modeling capability.
  ETL/Ingestion: Airbyte, Cloud Composer, or similar ingestion orchestration.
• MLOps: API-driven LLM integration (OpenAI, Anthropic, Vertex).
  Soft Skills & Behaviours.
• Ownership mindset: Accountable for outcomes, not just tasks.
• Bias for action: Pragmatism over perfection.
• User empathy: Focuses on AI that feels useful, not just functional.

Success Criteria
First 3-6 Months:

• Ingestion Foundation: Robust, automated ingestion supporting multiple formats and sources.
• Data Quality: Tagging, validation, and metadata enabling meaningful
  downstream AI.
• Insight Consistency: Prompts and model config deliver repeatable, trusted insight patterns.
• Observability: Clear dashboards, alerting, and data lineage controls.

Engagement Details

• Number of Roles: 1
• Target Start Date: February 2026
• Engagement Type: Potential Temp to Permanent hire after 6 months, but primarily looking for perm options
• Location: Fully remote (Core collaboration on UK hours)
• Working Hours: 8h per day
• Core overlap required: 10:00–16:00 London (GMT/BST)

Assessment Process
1. CV & GitHub/Portfolio review.
2. Technical screening (Data + ML scenarios).
3. Live ingestion / prompt engineering exercise.
4. Founder + leadership interview for culture and ownership fit.

What We Offer:

• Full remote with flexible business hours;
• Three weeks of vacation per year (15 working days);
• Paid sick leave per year (5 working days);
• Amazing opportunities for professional growth within a top-notch team of professionals;
• Competitive compensation commensurate with your experience and skills;
• English lessons;
• Co-working compensation;
• An excellent team with a friendly atmosphere.

We are building a premium, large-scale dataset of ~3 million images spanning art, culture, and history (paintings, objects, architecture, historical scenes, etc.) with the goal of licensing it to leading AI companies (OpenAI, Meta, Google, Amazon, Apple, and others) for LLM and multimodal model training.

Our focus is to structure the collection for modern requirements in multimodal training, alignment, retrieval (RAG), and multimodal reasoning — and to make the dataset “buyer-ready” for enterprise AI labs.

Role mission

We’re looking for a specialist who understands what AI model developers truly need from training datasets and can help us design and refine the dataset’s structure, metadata, annotation standards, documentation, packaging, and legal readiness for commercial licensing.

Key responsibilities

• Advise on which image + metadata pairs are most valuable for VLM/LLM developers.
• Design or refine a scalable metadata schema (JSON-based; optionally aligned with LIDO / CDWA / CIDOC CRM) suitable for:
  • Vision-Language Models (VLMs)
  • Retrieval / RAG workflows
  • Fine-tuning and alignment
• Review and improve our current schema (~17 fields per image across visual, cultural, technical, and legal metadata).
• Define annotation standards for:
  • Objects/attributes and composition
  • Style, period, and cultural context
  • Multi-level captioning (short / detailed / expert-grade)
  • VQA (Visual Question Answering) pairs
  • Synthetic negatives for robustness
• Recommend packaging and delivery formats preferred by major AI labs (JSONL, Parquet, TFRecord, etc.).
• Ensure compliance with FAIR principles (Findable, Accessible, Interoperable, Reusable).
• Provide guidance on provenance, licensing language, and legal compliance for AI training usage.
• Help position the dataset as a premium, commercially licensable AI training asset.

Required expertise

Demonstrated experience in one or more of:

• LLM or multimodal training data (vision-language datasets, CLIP-style, VQA, DETR, etc.)
• Dataset design for AI labs, research institutions, or large-scale ML pipelines
• Cultural heritage / museum / archival metadata standards (LIDO, CDWA, CIDOC CRM, Getty AAT)
• Structuring datasets for zero-shot learning, cross-modal reasoning, and multilingual AI
• Data licensing for AI training (public domain, CC0, custom licenses)
• Data evaluation, benchmarking, or alignment

Nice to have

• Prior work with OpenAI, Meta, Google, Amazon, Apple, or similar AI organizations
• Experience with large image datasets (100k+ items)
• Familiarity with RAG systems and embedding-based retrieval
• Experience preparing datasets for commercial sale or enterprise clients

Deliverables

Depending on scope, deliverables may include:

• Written recommendations on dataset structure and field definitions
• Improved/final metadata schema with JSON examples
• Annotation and captioning guidelines
• Enterprise-grade dataset documentation for AI buyers
• Optional: review of a sample subset of images and metadata

About us:

Our product is a fitness mobile application with AI generation of the fitness plan creation and analization of user’s performance.

The application is developing for iOS and Android, built using React Native and Expo. Our goal is to create a fast, reliable, and scalable user experience while maintaining a simple, pragmatic, and adaptable architecture that is ready for growth.

We intentionally work with a lean stack:

• AI-powered features built with Vercel AI SDK, integrating modern LLM-based workflows directly into the product
• React Native / Expo for cross-platform mobile development
• TypeScript with strict typing and schema-first validation
• Supabase (PostgreSQL, RLS) as a backend platform to minimize custom infrastructure

• Clerk for authentication and identity management

   

About the role:

As an AI Engineer for this health-tech mobile product, you will be responsible for shaping the AI agent and driving production-ready LLM experiences centered around the AI agent. You will work within a modern stack to build reliable services and handle complex data generated for the user avatar.

 

Key Responsibilities

• Advanced Prompt Engineering: You will design complex, dynamic prompt templates with conditional logic to ensure the AI avatar provides high-quality, personalized motivation based on specific user inputs and context.

• Structured Outputs & Schemas: You will design an AI agent in a way to ensure the avatar's health and nutrition advice is predictable and fits the app’s logic.

• Observability & Debugging: Using Langfuse (or similar), you will perform deep debugging of LLM chains to identify bottlenecks and optimize for cost, latency, and context window usage. You will also develop scoring systems to identify and resolve logic errors or hallucinations in the avatar's reasoning.

• AI A/B Testing & Evaluation: You will run systematic experiments via OpenRouter to compare different models and make deployment decisions based on quantitative benchmarks rather than intuition.

Qualifications & Technical Skills

• AI Frameworks: Proven experience with AI SDKs for managing complex workflows.

• Cursor experience is a plus.

• Core Stack: React Native, TypeScript, Supabase, Clerk, Vercel AI SDK.

• Observability Tools: Proficiency in Langfuse (or similar) for tracing, creating test datasets, and integrating real-time feedback scoring.

• Evaluation Methodology: Experience building deterministic validation systems.

• Analytical & Iterative Mindset: The ability to transform raw logs into actionable technical insights and a focus on continuous product improvement.

About the company
Turning marketing into a market-domination weapon, we created a new category - the marketplace for future customers. Businesses shop for leads as they shop for products in e-commerce: you see everything about a lead before you buy - full transparency, control, and predictable outcomes. We’re the #1 lead marketplace in the USA, and we’re accelerating.

Role overview
You’ll own the practical rollout of AI across iSpeedToLead - from aligning stakeholders to shipping automations that teams actually use. The goal is simple: turn AI initiatives into measurable business results and smooth user-facing experiences by connecting engineering work with day-to-day operations.

🔧 What You’ll Be Doing:

• Coordinate AI implementation projects across ops, sales, marketing, and customer support from kickoff to launch
• Translate business needs into clear technical tasks, and keep communication tight between AI/ML engineers and non-technical stakeholders
• Plan and manage timelines, scope, and delivery, removing blockers to keep projects on track
• Troubleshoot issues during rollout and ensure AI tools integrate cleanly into existing workflows and systems
• Train internal teams on new AI-driven tools and define simple adoption playbooks so usage sticks
• Build and optimize automation workflows in Make.com using APIs, webhooks, and AI model capabilities
• Design, refine, and maintain prompts and response formats (including structured JSON outputs) for reliable system integrations

✅ What Makes You a Strong Fit:

• 3+ years of experience in technical project management, AI implementation, automation, or integration roles
• Hands-on experience with OpenAI API, including Assistants, model selection, and function calling
• Advanced prompt engineering skills, including behavior tuning and managing edge cases in production use
• Working knowledge of model differences across OpenAI, Anthropic Claude, Google Gemini, and Amazon Bedrock/Amazon Q
• Strong Make.com experience building automations with webhooks, API calls, error handling, and monitoring
• Practical experience integrating speech-to-text and text-to-speech tools into workflows
• Confidence working with JSON formatting and dynamic parameter mapping for dashboards, tools, or UIs
• Experience shipping AI agents or model-powered features into live workflows used by real teams
• Strong communication skills - you can explain AI behavior and limitations clearly to non-technical stakeholders
• English level B2+ - used daily for documentation, cross-team communication, and working with global tools and APIs

➕ Bonus if you have:

• Experience implementing AI in SaaS, marketplaces, or real estate tech products
• Familiarity with Zapier and work tools like Jira, Slack, Notion, Monday.com, or Trello
• Experience working in Agile/Scrum teams and running predictable delivery rituals
• Basic understanding of ML concepts, data structuring, and how model performance is evaluated in practice

🎁 Why You’ll Love It Here:

• You’ll work at the core of a product-led, AI-powered startup where data drives every decision
• Your work will ship fast and impact thousands of users
• High autonomy, low bureaucracy: we trust you to own your domain
• Remote-first culture with flexible hours and async-friendly communication
• Salary (fixed base) ABOVE the market average
• A smart, passionate team that moves fast, supports each other, and builds cool stuff
• 15 paid vacation days plus 5 paid sick days annually
• Paid access to courses, books, and growth resources
• Real decision-making power and ownership of your results

Bitmedia Labs is an international product IT company that has been building ambitious innovative products for millions of users worldwide since 2014 — combining deep tech expertise with a creative mindset.

Our ecosystem spans:

•  Game Development — building the next generation of Web3 gaming, where gameplay comes first, players own their assets, and developers thrive within massive, engaged communities.
• Digital Marketing Ecosystem — building a unified ecosystem that combines a leading high-performance advertising platform with emerging media and affiliate solutions.

Requirements:

• 2+ years of experience with Python programming and software development;
• Hands-on experience working with LLM models and APIs (OpenAI, Claude, Gemini, LLaMA, etc.);
• Practical knowledge of AI/ML libraries and frameworks (LangChain, Hugging Face, PyTorch, TensorFlow);
• Experience with vector databases (Pinecone, Weaviate, Qdrant, etc.) and embeddings;
• Demonstrated expertise in prompt engineering techniques and best practices;
• Basic experience with model fine-tuning and training pipelines;
• Strong SQL skills and experience with relational/NoSQL databases;
• Proven experience building APIs and backend services (RESTful APIs, background workers, task queues, data processing services) and understanding of application architecture and system design principles;
• Strong problem-solving skills, ability to work independently with minimal supervision, and capacity to research and learn new technologies autonomously;
• Experience with debugging, troubleshooting, and optimizing AI/ML solutions.

Nice-to-Have:

• Experience with cloud platforms (AWS, GCP, Azure) for AI/ML deployment and production implementation of AI solutions;
• Knowledge of Docker containerization, DevOps practices, MLOps, model monitoring, and CI/CD pipelines;
• Understanding of semantic search techniques, advanced embedding strategies, and experience processing unstructured data (text, images, audio) at scale;
• Proficiency with data visualization tools and techniques (Plotly, D3.js, Tableau);
• Working knowledge of web technologies fundamentals (HTML5, CSS3, JavaScript);
• Knowledge of authentication, authorization, and security best practices for AI applications.

Hiring process:

• Intro call with a Recruiter — Interview with the Hiring team — Сollection of recommendations — Offer.

Join Bitmedia Labs to evolve, explore, and make a real difference — together.
Our culture is built on openness, trust, and support. We value initiative, ownership, and results. We work as one team — helping each other, celebrating wins, and learning from challenges together.

We offer the freedom and space to grow:

• ​Professional growth and self-realization through ambitious products;
• ​The opportunity to bring your ideas to life, experiment, and directly influence the product’s development;
• Collaboration with talented teammates united by a shared goal.

We also care about well-being and balance:

•  Flexible schedule and the option to work remotely or from our hubs in Kyiv, Warsaw, and Berlin;
•  Competitive compensation, regular performance reviews, paid vacation, sick leave, and public holidays;
• ​Modern Apple equipment and thoughtful corporate gifts for holidays and personal milestones.
• ​Support for your growth: courses, workshops, and conferences.
• Through our charity foundation Bit Spilka, run by volunteers from our team, we support the military, medics, and civilians across Ukraine — already delivering over $500,000 in aid. Here, your work also drives social impact, and you can also join our volunteer initiatives.

If this resonates with you , send your CV and join us.
Let’s foster the world together!

We are looking for a highly skilled AI Engineer with expertise in Large Language Models (LLMs) to design, develop, and implement AI-powered automations across the company.

Your primary responsibility will be to work in the team that analyzes internal processes, identifies automation opportunities, and builds intelligent solutions that improve efficiency, accuracy, and scalability.

This role is ideal for someone who combines deep technical knowledge with a product mindset and enjoys building practical, high-impact AI systems.

Key Responsibilities

• Work closely within a team to define required data and methods to solve a given problem.
• Design, develop, and deploy LLM-based automation tools to streamline internal workflows across departments.
• Integrate LLM models (OpenAI, Anthropic, open-source models, etc.) into internal systems and software products.
• Build and maintain prompt pipelines, agents, RAG systems, and internal AI services.
• Collaborate with operations, product, and engineering teams to map workflows and identify automation opportunities.
• Evaluate model performance, optimize prompts, and improve system accuracy and reliability.
• Implement monitoring, logging, and evaluation frameworks for LLM-driven applications.
• Ensure data privacy, security, and compliance in all AI solutions.
• Stay up-to-date with the latest advancements in LLMs, frameworks, and AI tooling.

ABOUT YOU

Qualifications & Experience:

• Strong hands-on experience with LLMs, including fine-tuning, prompt engineering and model integration.
• Proficiency with Python and common AI/ML libraries (PyTorch, TensorFlow, LangChain, etc.).
• Good presentation/communication skills.
• Good written and spoken English (B2 level).
• Good math skills.
• Experience with deep learning.
• MS degree in AI, Machine Learning, Statistics, Computer Science or a related subject.

Would be a plus:

• PhD in AI, Machine Learning, Statistics, Computer Science or related.
• Able to build meaningful visualizations of results.
• Experience with data-mining methods and technologies.
• Previous work with automotive or IoT data analytics.
• Previous work on open source projects.
• Knowledge of machine learning in data analytics, decision making systems, regression, supervised and unsupervised learning.

WE OFFER:

• International and multicultural working environment.
• Supportive regional team and collaborative culture.
• Clear career ladder and opportunities for personal development.
• Opportunities to gain new skills and grow both vertically and horizontally.
• Foreign language skills development (access to corporate platforms and language classes).
• Development benefit with an annual learning budget.
• Balanced paid time off package, including sick leave, public holidays, and vacation days
• Additional seniority-based leave.
• Maternity and paternity leave.
• Bonuses for key life events (childbirth, wedding).
• Comprehensive health and life insurance coverage.
• Monthly sport and wellbeing support. Including team sport events.
• Corporate vehicle purchase discounts (preferential pricing on Stellantis vehicles).
• Access to various external partner benefits and discounts.

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.

We seek an AI & Automation Specialist to design and deploy AI‑driven workflows that enhance Transfer Pricing processes.
This hands‑on role focuses on building AI agents, crafting prompt systems, and developing automation flows that translate complex Transfer Pricing requirements into efficient solutions.

Main Responsibilities:

• Development, testing, and implementation of AI agents and prompts for automating transfer pricing processes;
• Implementation of ideas using artificial intelligence (AI) and automation technologies;
• Conducting internal research and working on AI-driven solutions for transfer pricing;
• Support and enhancement of AI solutions, taking into account the specifics of transfer pricing and adapting them to business requirements;
• Collaboration with other specialists to implement AI solutions;
• Use of automation tools such as Power Automate and Power Apps (considered a plus).

Key Requirements:

• Graduate or current student — preferably in Economics, Finance, Computer Science, or Business Analytics;
• Preferably basic experience with AI tools (Prompt Engineering, No-Code AI Tools, Copilot);
• Analytical thinking and the ability to translate business ideas into agent logic;
• Interest in developing AI-based and automation solutions;
• Written and spoken English at B1–B2 level.

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