Jobs ML / AI Engineer

As an ML Engineer, you'll work at the intersection of machine learning systems, knowledge representation, and reasoning infrastructure — building the foundational intelligence layer that powers our platform. This isn't about wrapping APIs or fine-tuning models in isolation. You'll be solving hard problems at the frontier of applied ML.

What you'll work on:

Designing ML pipelines that transform unstructured, proprietary information into semantically rich, queryable representations

Building and integrating models that enable probabilistic reasoning, multi-hop inference, and context-aware decision support

Developing agentic workflows where AI assists human judgment through explainable outputs, uncertainty quantification, and iterative feedback loops

Defining evaluation metrics and testing frameworks for high-stakes, information-led environments

Contributing to architectural decisions around ML infrastructure and model serving

Collaborating closely with backend engineers, product, and domain experts

What We're Looking For

Strong foundations in machine learning — NLP, information extraction, representation learning

Systems thinking mindset, not just model performance in isolation

Comfortable working in ambiguity and defining problems from first principles

Intellectually honest — willing to challenge assumptions, including our own

Pragmatic: ships working systems, iterates on real feedback, avoids over-engineering

Cares about reproducibility, clarity, and long-term maintainability

What We Offer

Work on genuinely hard, foundational problems at the intersection of ML and knowledge systems

Founder-led, deeply technical environment — low-ego, high-ownership

Fast feedback loops, strong opinions, high bar for clarity

Flexible/hybrid setup centred around London

Early-stage equity

Our Values

First-principles thinking. Human judgment matters. Intellectual honesty. Trust by default. Compounding advantage. Build infrastructure, not wrappers.

ML/CV engineer

We’re looking for a passionate Machine Learning / Computer Vision Engineer to join our team.

As a member of our team, you will participate in research & development of solutions in the field of computer vision, document understanding using cutting-edge machine learning approaches. The position will involve different aspects of R&D including initial research, analysis, prototyping and development. By joining our team you’ll be able to affect Ukrainian Deftech area innovations and contribute to important today’s military products.

Responsibilities:

• Research and development of Image Processing algorithms including CV algorithms
• Research and prototyping of detection and tracking algorithms using ML and CV
• Work with data collection and analysis in order to improve efficiency of ML/CV dependent algorithms

Job Qualification:

• 2 years of commercial experience with Python
• Demonstrated hands-on experience with TensorFlow, PyTorch
• Practical Experience with Machine Learning, including designing, training, fine-tuning of ML models, and integrating machine learning systems into production environments related to Computer Vision, Document Understanding
• Experience with Object Tracking area using ML/CV
• Experience with vision transformer, vision encoder-decoder architectures
• Strong analytical and communication skills

Will be a plus:

• Experience in Miltech development
• Experience with code performance optimization
• Master’s or Bachelor’s degree in computer science, math, statistics, or related field
• Experience in C/C++ 

Working Conditions:

• official employment 
• offline work for growing deftech company (remote is also option but mostly offline)
• military exemption

Job Description
We are looking for a motivated Trainee ML Engineer to join our team and support AI-focused challenges and the development of data pipelines for Generative AI and large language model (LLM) projects. This role is ideal for someone eager to grow in AI/ML, data engineering, and natural language processing.

Qualifications
- Student in Computer Science, Data Science, Engineering, or a related field.
- Basic programming skills in Python with OOP; familiarity with SQL and NoSQL.
- Basic knowledge of REST API. Familiar with Fast API framework.
- Basic knowledge of Git, Docker, linux commands.
- Basic knowledge of asynchronous flows, flow in threads.
- Interest in AI - especially GenAI, Agents, Chats, prompt tuning, trends, and patterns.
- Some exposure to ML frameworks (TensorFlow, PyTorch) or NLP libraries (Huggingface Transformers, SpaCy).
- Understanding of DevOps/MLOps principles and cloud platforms is welcome.
Would be the benefits of previous years of experience and a substantial understanding of:
- Kafka and other event streaming services
- AWS data access/warehousing tools, such as Athena (in use), S3 storage

Key Responsibilities

Collaborate with engineers on model integration, including prompt engineering and RAG (Retrieval-Augmented Generation) setups. Developing AI Agents and Chats. Develop ML models and approaches.
Be aware of modern patterns and trends in the ML/GenAI area. Bring new ideas of how it may be leveraged in the project.
Work with vector databases and embedding models.

Department/Project Description

GlobalLogic is building an analytical platform for the client. The platform will gather information about companies from various sources, normalize it according to a predefined flow, and present it to the user as a set of analytical dashboards. The gathered and processed information will enable customers to make decisions about the business state of the investigated companies. Analytical information will help customers predict the future state of the relevant companies and improve customer’s business processes.

The client provides high-value analysis and support to partner companies to identify and mitigate emerging business challenges. Today, the customer’s business processes are highly manual and fragmented.

The project aims to define and bring to life a digital platform that connects the client’s employees with relevant and meaningful information about their portfolio holdings, enabling insights and action.

Skill Category

AI/ML

We are looking for Data Scientist to join a Data Team working on innovative AI-driven products. 
 

These roles focus on building AI-powered solutions that solve real business challenges and deliver personalized customer experiences. The team leverages Generative and predictive AI to enhance customer journeys and automate operational processes.

Responsibilities:

• Collaborate closely with Product Owners, Data Analysts, Data Engineers, and ML Engineers to design, develop, deploy, and monitor scalable AI and Generative AI solutions
• Drive the adoption of Generative AI across the organization by building solutions using LLMs, embeddings, and RAG architectures
• Work directly with business stakeholders to translate requirements into production-ready AI systems
• Monitor and optimize model and system performance, applying best practices in Data Science, MLOps, and LLMOps
• Continuously improve prompts, models, and pipelines to maximize business impact
• Stay up to date with advancements in LLMs, RAG frameworks, and GenAI technologies to drive innovation

Requirements:
Must-have:

• 5 years of experience in Data Science or Applied Machine Learning
• Strong proficiency in Python and SQL
• Experience building and deploying machine learning models
• Hands-on experience with Generative AI, including:

• Embeddings
• Vector search
• RAG-style architectures
• NLP or transformer-based models
  • Understanding of advanced model evaluation methods (ranking, relevance, retrieval quality, etc.)

Nice to have:

• Experience with Snowflake
• Knowledge of AWS cloud services
• Experience with LLMOps (prompt and version management, monitoring, evaluation frameworks)

We are looking for you!

We’re building a new kind of enterprise system - the one that doesn’t just automate workflows, but understands business intent and drives measurable business outcomes.

As an AI Engineer on this team, you’ll help design and build the agentic reasoning infrastructure behind this vision - systems that can interpret strategic “end games,” generate executable playbooks, and coordinate actions across real enterprise environments.

This is a hybrid role at the intersection of product engineering and applied AI research.

You’ll be contributing to a production-grade platform while also exploring the boundaries of autonomous agents, text-to-agent pipelines, and multi-agent collaboration frameworks.

Contract type: Gig contract.

Skills and experience you can bring to this role!

Qualifications & experience:
 

• You love writing Python code,  3+ years of experience in commercial development with a track record of AI-focused projects launched and proven in production environments;
• Experience using or developing with large language models (OpenAI, Anthropic, Ollama, etc.);
• You have hands-on experience with context engineering, vector databases, RAG, and MLOps and you have applied the majority of the listed things to implement user-facing software;
• Hands-on exposure to agentic frameworks (LangGraph, Google ADK, CrewAI, Haystack, etc.) or planning systems;
• Comfortable reading, implementing, and adapting ideas from current AI/ML research papers - e.g., tool-use, hierarchical planning, cooperative agents;
• You are particularly interested in emerging AI tech, LLMs, and generative AI. You follow the news, new developments, and academic research. You are excited about its potential impact on product development in the upcoming years.

Nice to have: 
 

• You are an active proponent and practitioner of agentic coding;
• You have experience in data engineering, particularly in building data pipelines;
• You have built ML solutions and used available services & tools and/or built bespoke ML models;
• You are interested in going beyond the technical side. You could work as a consultant, demonstrate an understanding of business and product aspects, and generate product ideas;
• You have front-end experience building UIs to demonstrate solutions end-to-end or are open to gaining such.

What impact you’ll make
 

• Design and implement multi-agent planning systems capable of decomposing high-level goals into executable workflows;
• Build the reasoning and orchestration engines that integrate LLMs, rule-based logic, and structured enterprise data;
• Prototype and productionize text-to-agent pipelines transforming natural language goals into agent teams and executable plans;
• Research and experiment with emergent agent behaviors, including coordination, role specialization, and collective decision-making (“agentic swarms”);
• Develop the Playbook module and runtime that translate strategic intent into safe, executable instructions;
• Build and evaluate LLM-driven tool-use frameworks for secure interaction with APIs, databases, and applications;
• Contribute to closed-loop learning systems where agents observe KPI feedback, adapt workflows, and self-improve.

What you’ll get

Regardless of your position or role, we have in place a wide array of benefits including flexible working (hybrid/remote models) and generous time off policies to make it easier for all people to thrive and succeed at Star. On top of that, we offer an extensive rewarding and compensation package, intellectually and creatively stimulating space and some more.

Your holistic wellbeing is central at Star. You'll join a warm and vibrant multinational environment filled with impactful projects, career development opportunities, mentorship and training programs, fun sports activities, workshops, networking and outdoor meet-ups.

Data Lab Scientist – Computer Vision

About Cyberette

Cyberette is an AI-native cybersecurity company developing forensic-grade technology to

detect digital manipulation in video, audio, and images. Our mission is to restore trust in

digital communication and protect organizations from deception in the AI era.

About the Role

We’re looking for a Data Lab Specialist with a solid background in data operations and

computer vision. You’ll be responsible for building and maintaining high-quality datasets that

fuel our detection models, ensuring accuracy, diversity, and consistency across all data

pipelines.

This role combines hands-on technical work with coordination — ideal for someone who

enjoys both creating structure and collaborating across teams.

Key Responsibilities

• Curate, collect, and annotate large-scale datasets for image and video analysis.

• Collaborate with the AI team to align data preparation with model goals.

• Ensure quality control and consistency across all dataset sources.

• Guide and coordinate junior team members or interns working on data tasks.

• Perform exploratory data analysis and identify dataset gaps or biases.

• Maintain clear documentation and versioning of data pipelines.

Requirements

• BSc/MSc in Computer Vision, Data Science, or related field.

• Proven experience with dataset preparation and management for machine learning.

• Strong understanding of computer vision principles and data labeling workflows.

• Proficiency in Python, Pandas and/or Polars, NumPy, and OpenCV.

• Experience working collaboratively with ML or research teams.

• Highly organized, detail-oriented, and dependable.

What We Value

Cyberette is built by a team of people who care deeply about purpose-driven innovation. We

believe in using AI to protect truth, identity, and digital integrity — and data is the foundation

of that mission.

Bonus Skills

• Familiarity with dataset tools (Label Studio, CVAT, Supervisely).

• Knowledge of multimodal or synthetic data generation.

• Understanding of ethical AI and dataset governance principles

About the Role

We’re looking for a scrappy, AI-native Growth Engineer who thrives in high-autonomy environments and knows how to build scalable experimentation systems that drive real revenue impact.

This is not a “marketing” role.
We want a builder-operator who thinks in systems, automation, and measurable outcomes.

You should:

• Be comfortable leveraging AI tools (e.g., Claude) to 10x your output
• Have a track record of running measurable growth campaigns
• Think like a builder and operator — not just a marketer
• Get energized by improving metrics
• Be highly independent and execution-focused

Entrepreneurial backgrounds (e-commerce, dropshipping, solo SaaS, side projects, digital products) are highly valued.

What You’ll Do

AI-Powered Growth Systems

• Build workflows that generate, test, and iterate on hundreds of creative assets
• Use AI to scale paid ads, SEO, and landing page experimentation
• Automate creative production and performance analysis loops

Full-Funnel Experimentation

Own the complete growth cycle:

• Launch campaigns
• Measure performance
• Optimize for ROI
• Run paid acquisition campaigns (primarily targeting doctors)
• Develop referral loops and scalable growth infrastructure

 Strategy & Execution

• Work directly with the CEO to translate high-level strategy into actionable experiments
• Provide data-driven feedback to shape messaging and positioning
• Develop templated assets and repeatable growth playbooks

Analytics & Optimization

• Analyze full conversion funnels using tools like PostHog
• Identify bottlenecks and optimize LTV/CAC
• Turn insights into rapid experimentation cycles

Required Experience

• 2+ years of direct, hands-on growth experimentation
  (Entrepreneurial projects and side hustles count)
• Experience running paid ads and/or UGC campaigns with measurable outcomes
• Proven ability to build systems — not just execute isolated campaigns
• Comfortable operating independently with high ownership
• Strong analytical mindset

Tech Stack

• Claude
• PostHog
• HeyGen
• Figma
• Apollo.io
• Exa

Why Join?

• High ownership from day one
• Direct access to CEO and founding team
• Meaningful equity (1.0%–1.5%)
• Build the growth engine of a category-defining healthcare company
• Real autonomy, real impact

Interview Process

1. Application review & screening
2. Hiring manager interview (CEO)
3. Portfolio & campaign review
4. Final interview

COMPANY

Arcyn is a freshly funded seed stage startup. We’re creating an AI-powered compliance checker for architectural design — an Autodesk Revit plugin that automatically checks designs against regulations as they're being created. Architects get instant feedback on violations as they design in Revit, instead of waiting weeks for permit reviewers to tell them what's wrong.

We’ve just closed pre-seed round and are building core technical team. We’re now a team of 4 with a track record of building complex technical products, and we're looking for a strong AI engineer who's comfortable testing hypotheses and working across different frameworks. This is a chance to join at the ground floor, shape product architecture and solve genuinely hard AI problems.

----

In this role, you'll architect AI systems from scratch and own the full development cycle, there's plenty of room for experimentation and rapid iteration. We're seeking a highly skilled AI Engineer with strong experience in orchestrating multi-step LLM workflows, automated code generation, and compliance logic formalization.

RESPONSIBILITIES: 
• Design and maintain modular, multi-step AI workflows for compliance automation. 
• Integrate multiple LLM providers (e.g., OpenAI, Anthropic, Perplexity) into a cohesive orchestration pipeline. 
• Build cost-optimized batch processing and intelligent API request strategies. 
• Translate complex regulations into structured, machine-executable logic. 
• Develop and validate automatically generated code to ensure correctness, safety, and performance. 
• Collaborate with domain experts to refine logic interpretation and edge case handling. 

• Maintain high-quality, well-structured Python codebases with clear separation of concerns. 

REQUIREMENTS  
• 5+ years of professional software engineering experience. 
• Strong Python skills, including experience writing production-grade, modular code. 
• Proven track record building multi-step LLM workflows (LangChain, LangGraph, or similar). 
• Experience in structured code generation and validation. 
• Strong debugging skills and comfort working with complex, evolving systems. 

   NICE TO HAVEs: 
   • Experience with compliance automation, technical regulations, or domain-specific rule translation. 
   • Familiarity with Pydantic models or other type-safe data management frameworks. 
   • Background in developer tooling or systems requiring high reliability and reproducibility. 
   • Experience optimizing LLM API usage for both cost and speed. 

WE OFFER:

• B2B set-up via SP account
• Full-time remote role aligned with EEST
• Be part of the team shaping a new AI product at an early stage. 
• Freedom to architect solutions using the best tools for the job. 
• Collaboration with a multidisciplinary, innovation-driven team. 
• Flexible work arrangements and competitive compensation.

We’re looking for an AI Systems Engineer with strong Python expertise to join a cross-functional team building RAG solutions and multi-agent systems.
You’ll take AI products from prototype to production: design pipelines, integrate LLMs, build scalable backends, and ensure reliability, security, and performance.

We value pragmatic thinking, production mindset, clean architecture, and the ability to own features end-to-end.

Expertise Required

• Strong proficiency in Python
• Commercial development experience 3+ years
• Proven experience bringing AI systems into production
• Hands-on experience with multi-agent systems
• Understanding of RAG architectures
• Ability to work across the stack (AI, backend, databases, basic frontend if needed)
• Experience designing and consuming APIs
• Familiarity with SQL and NoSQL databases
• Understanding of basic security and data protection principles

What You Will Do

• Design and build RAG pipelines and agent-based systems
• Ship AI solutions to production with monitoring, logging, and error handling
• Maintain and improve existing production AI services
• Integrate LLMs and external services
• Design and optimize databases, indexes, and queries
• Collaborate on backend logic and system architecture
• Write clean, maintainable code following best practices
• Diagnose, reproduce, and fix production issues
• Create and maintain technical documentation
• Participate in code reviews, planning, and architecture discussions
• Ensure performance, scalability, and data security

Will Be a Plus

• Experience with LangChain
• Production experience with RAG architectures
• Work in a product or platform team
• Experience with AWS or other cloud platforms
• Familiarity with vector databases

Technology Stack (indicative)

• Python
• LLM frameworks (e.g., LangChain)
• Vector databases (ElasticSearch, Pinecone, Qdrant)
• Backend / APIs (FastAPI)
• Databases (SQL / NoSQL)
• Cloud (AWS is a plus)

Benefits

• Work in a fast-paced, dynamic, and innovative AI-driven environment
• Opportunity to directly influence the company’s AI architecture and intelligent products that scale globally
• Access to modern tools, cutting-edge LLM technologies, and in-house expertise
• Flexible delivery approach and freedom to choose optimal technical and architectural solutions
• Performance-based bonus system for key contributors, tied to team results
• Energy support benefit for employees in Ukraine — USD 100/month after probation (power banks, charging stations, generators, inverters, etc.)
• Opportunity to visit the Warsaw office if you are nearby

Our mission at Geniusee is to help businesses thrive through tech partnership and strengthen the engineering community by sharing knowledge and creating opportunities🌿
We care about Trust, Partnership, Transparency, and Responsibility. We offer a safe, inclusive and productive environment for all team members, and we’re always open to feedback💜 If you want to work from home or work in the offices in Kyiv, Lviv or Warsaw with stable electricity and Wi-Fi , great — apply right now
 

Requirements:
● 3+ years of experience in building or integrating AI systems, data pipelines, or retrieval-based architectures.
● Strong Python skills and hands-on experience with modern AI frameworks and libraries.
● Experience with data preprocessing, transformation, indexing, and query optimization.
● Practical experience with Retrieval-Augmented Generation (RAG) pipelines — building retrievers, generators, and optimizing retrieval quality.
● Experience with SQL/NoSQL and at least one vector database (Pinecone, FAISS, Qdrant, or OpenSearch vector engine).
● Strong analytical and problem-solving skills, independence, and ability to work in agile environments.
 

Responsibilities:
● Design, build, and maintain AI systems focused on RAG pipelines — retrieval, context construction, and generation.
● Develop and optimize ETL/data pipelines for structured and unstructured data.
● Integrate AI services into production systems using REST APIs
● Contribute to technical documentation, planning, and estimation of AI-related tasks.
● Collaborate with backend and DevOps teams to ensure scalability, reliability, and efficiency of AI solutions.
 

Nice to have:
● Experience with AWS (S3, Lambda, ECS, Bedrock).
● Familiarity with RAG frameworks (LangChain, LlamaIndex) and retrieval/search techniques (semantic, hybrid, keyword).
● Contributions to open-source projects or participation in R&D initiatives related to AI or retrieval systems.
 

What will you get:
● Competitive salary and good compensation package;
● Exciting, challenging and stable startup projects with a modern stack;
● Corporate English course;
● Ability to practice English and communication skills through permanent interaction with clients from all over the world;
● Professional study compensation, online courses and certifications;
● Career development opportunity, semi-annual and annual salary review process;
● Necessary equipment to perform work tasks;
● VIP medical insurance or sports coverage;
● Informal and friendly atmosphere;
● The ability to focus on your work: a lack of bureaucracy and micromanagement;
● Flexible working hours (start your day between 8:00 and 11:30);
● Team buildings, corporate events;
● Paid vacation (18 working days) and sick leaves;
● Cozy offices in 2 cities ( Kyiv & Lviv ) with electricity and Wi-Fi ( Generator & Starlink);
● Compensation for coworking (except for employees from Kyiv and Lviv);
● Corporate lunch + soft skills clubs;
● Unlimited work from home from anywhere in the world (remote);
● Geniusee has its own charity fund.

About The Position

Automat-it is where high-growth startups turn when they need to move faster, scale smarter, and make the most of the cloud. As an AWS Premier Partner and Strategic Partner, we deliver hands-on DevOps and FinOps and GenAI support that drives real results.

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 seek an experienced Senior AI Engineer to join our team. You will work hands-on with innovative startups' Data Science and R&D teams and be in charge of various projects. You will develop robust MLOps pipelines, create cutting-edge Generative AI solutions, implement the latest technologies, and ensure the customers’ success by overseeing the project from inception to completion.

📍 Work location - remote from Ukraine

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

Responsibilities

• Developing backend Generative AI solutions and POCs, utilizing RAG pipelines, agent-based systems, and LLM-powered services
• Taking existing ML or customer-provided code and adapting it for training, fine-tuning, and production deployment using PyTorch
• Developing and optimizing fine-tuning workflows, model evaluation, benchmarking, and inference optimization
• Provision of ML AWS resources and infrastructure primarily using managed and cloud-native services
• Developing ML-oriented CI/CD pipelines using GitHub Actions, Bitbucket, or similar tools
• Deploying Machine Learning models in production and ensuring they are observable and monitorable
• Collaborating with Solution Architects and DevOps teams on scalable and cost-efficient AI infrastructure
• Learning new skills and technologies quickly to stay up to date with rapidly evolving GenAI tools
• Using and writing Terraform libraries for infrastructure deployment
• Maintaining infrastructures and environments of all types, from dev to production
• Security monitoring and administration

Requirements

• Excellent customer-facing skills to understand and address client needs effectively
• Ability to design and implement cloud solutions and to build GenAI pipelines on AWS
• Experience with one or more large language model frameworks like OpenAI SDK, Amazon Bedrock, LangChain, and LlamaIndex
• Fluency in Python, a good understanding of Linux, and mandatory hands-on production experience with PyTorch
• Ability to understand tools used by data scientists and experience with building Generative AI applications beyond notebooks or demos
• Good understanding of supervised and unsupervised learning, and deep learning concepts
• Fluent written and verbal communication skills in English
• Ability to work hands-on, independently, and deliver under real project constraints
• Bachelor’s or Master’s degree in AI-related fields - an advantage
• Working knowledge of some Vector Databases (OpenSearch, Qdrant, Weaviate, LanceDB, etc.) - an advantage
• Experience with Docker and Kubernetes - an advantage
• Experience with Azure or GCP (DevOps/MLOps) for ML or GenAI workloads - an advantage
• ML certification (AWS ML Specialty or similar) - an advantage

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 and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognising the value you bring to our 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.

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.

Join our dynamic AI team and be at the forefront of innovation, working on transformative projects for some of the most recognized companies worldwide. As an AI Consultant, you will participate in the implementation and development of AI-powered solutions across a broad range of applications, from Gen AI tools to data analytics fraud detection systems.

Key Responsibilities:

• Participate in AI projects from inception to completion, ensuring timely delivery of high-quality solutions;
• Solution Development: Design and implement cutting-edge AI and GenAI solutions, including Retrieval-Augmented Generation (RAG) for knowledge retrieval, prompt optimization, and fine-tuning of large language models (LLMs);
• Apply AI techniques to areas such as fraud detection, satellite imagery analysis, time-series forecasting, and automated data quality validation to enhance decision-making and automation;
• Develop web applications (FE / BE / cloud architecture) enabling users to interact with AI systems;
• Client Interaction: Work closely with clients to understand their unique needs and provide expert guidance and support throughout the project lifecycle.

Requirements and skills:

• 2+ years of professional experience in this or similar area;
• Experience working on AI/ML projects, in areas such as Generative AI, NLP, Computer Vision or Machine Learning model development and deployment;
• University degree in Mathematics or a similar field is an advantage;
• Programming skills in Python (pandas, plotly, numpy);
• Experience with Full stack development (JavaScript) is a significant plus.
• Experience with SQL databases; familiarity with NoSQL is a plus;
• Experience with generative AI models is a plus;
• Fluent in English (level B2 or higher).

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

We are looking for more than just a coder. We are looking for an Engineer with a builder’s soul—someone with 5+ years of deep engineering experience who is genuinely obsessed with the AI revolution and wants to define how software is built in the post-LLM era.
 

We are building an AI-native platform, and we need a "live" candidate: someone who doesn't just "know" AI but lives it—experimenting with new models, building agents, and using AI tools to multiply their own productivity.
 

Who You Are

• A Seasoned Engineer: You have 5+ years of commercial experience. You’ve seen architectures succeed and fail, and you know how to build systems that scale.
• AI-Obsessed: You are a "power user" of the modern AI stack. Whether it’s Cursor, Windsurf, or custom-built agents, you believe that AI is fundamentally changing the way we write code and solve problems.
• A "Live" Tech Enthusiast: You follow the latest releases from OpenAI, Anthropic, and DeepSeek. You have pet projects, you experiment with RAG, and you are constantly curious about what’s next in the AI space.
• Ownership Mindset: You thrive in ambiguity. You don’t wait for a 50-page Jira ticket; you identify a problem, design a solution, and ship it.
   

What You’ll Do

• Build the Foundation: As a founding member, you will design and implement the core architecture of our AI-native administration platform from scratch.
• Agentic Workflows: Move beyond simple chatbots. You will design complex AI agents that handle real-world administrative logic, decision-making, and automation.
• AI-Driven Development: We expect you to lead by example—using AI tools to code faster and better, and helping the team stay at the bleeding edge of AI productivity.
• Product Ownership: You will work directly with the founders to shape the roadmap, influence the product vision, and make critical technology choices.
   

Technical Requirements

• 5+ years of experience in software engineering (ideally with Python or TypeScript).
• Proven experience with LLM integration: Hands-on work with OpenAI API, LangChain, LlamaIndex, or similar frameworks.
• Deep understanding of AI concepts: You know the difference between fine-tuning and RAG; you understand tokenization, context windows, and prompt engineering.
• Full-stack capability: While you might lean toward the backend, you aren't afraid to touch the frontend or infrastructure to get a feature live.
• Architectural Excellence: Ability to design clean, maintainable systems while moving at startup speed.
   

Why Join Us?

• True Influence: You aren't just a gear in a machine. You are the one building the machine.
• Zero Legacy: No technical debt, no "we've always done it this way." We use the best tools available today.
• AI-First Culture: We don't just build AI; we use it everywhere. You’ll be encouraged to spend time researching new AI tech and integrating it into our workflow.
• Equity: As a Founding Engineer, you will receive a significant equity stake, making you a true partner in our success.

Bonus Points If:

• You have a GitHub full of AI experiments or a blog/Twitter where you talk about tech.
• You’ve built and deployed your own AI-powered SaaS or tool.
• You are an active member of the AI/Open Source community.

Why Join Us?

• Zero to One: You will have a defining influence on the product, the tech stack, and the engineering culture.
• Meaningful Work: You are solving a universal human problem that has been ignored by the tech industry for too long.
• Compensation & Impact: As the first engineer, you will receive significant compensation, additional bonuses, and work as a true partner to the founder.
• Medical Insurance in Ukraine and Multisport program in Poland.
• Offices in Ukraine (Kyiv, Kharkiv) and Poland (Wroclaw) or Remote.
• Paid vacation, sick leaves, and official holidays.
• Legal & Accounting services.
• The company provides all necessary equipment.
• English classes and Education reimbursement.

Description of the Project and Team:

The Senior Forward-Deployed Engineer bridges the gap between our AI platform and real-world client environments. This role combines deep technical expertise with strong client-facing skills to deliver customized AI implementations, lead technical discovery, and ensure successful solution adoption.

You will work closely with enterprise clients, internal AI engineers, Solution Designers, and leadership teams to design, prototype, and deploy advanced AI solutions, often in ambiguous and fast-changing environments. This is a hands-on role for someone who thrives at the intersection of engineering, architecture, and client collaboration.

Location: Remote / Hybrid (Ukraine / EU), with occasional international business travel to client sites

Responsibilities:

Client Engagement & Technical Leadership

• Lead technical discovery sessions and requirements workshops with clients
• Design and architect custom AI solutions tailored to client needs
• Serve as the primary technical point of contact for assigned client accounts
• Present technical solutions to C-level and senior stakeholders

Solution Implementation

• Implement, customize, and deploy AI solutions in client environments
• Integrate LLM vendors and platforms with client systems and data sources
• Develop Proofs of Concept (PoCs) and MVPs to validate solution approaches
• Troubleshoot and resolve complex technical issues in production environments

AI-Augmented Development

• Lead AI-augmented development practices within project teams
• Leverage GenAI tools for rapid prototyping and solution acceleration
• Design and implement Agentic systems and RAG pipelines
• Evaluate and recommend AI tools and technologies for specific use cases

Team Leadership & Mentoring

• Mentor Solution Designers and software engineers
• Conduct code reviews and architecture reviews
• Contribute to technical standards and engineering best practices
• Support presales activities with technical expertise and solution demos

Required Qualifications:

Experience

• 3+ years in software development
• 2+ years in client-facing technical roles (Solutions Engineer, Technical Consultant, FDE, etc.)
• 1+ year of hands-on experience with LLMs / GenAI technologies
• Proven track record of successful project deliveries

Portfolio Requirements

• Complex system implementations (architecture decisions, trade-offs, outcomes)
• Client success stories showing how technical solutions solved business problems
• AI / GenAI project experience (LLM integrations, RAG systems, AI-powered tools)
• Open-source contributions or technical writing (optional, but highly valued)

Technical Skills

• Software Architecture: Scalable, maintainable systems; microservices and event-driven architectures
• Python Development: Production-grade Python, async programming, API development
• LLM / GenAI Integration: RAG systems, prompt engineering, LLM APIs (OpenAI, Anthropic, Azure OpenAI)
• API Design & Integration: REST, GraphQL, webhooks, third-party APIs
• Databases: SQL optimization; vector databases (Milvus, Pinecone, Weaviate, pgvector)
• Cloud Platforms: AWS or Azure, serverless architectures, Docker, Kubernetes
• DevOps & CI/CD: GitHub Actions, deployment pipelines, infrastructure as code
• Analytical Thinking: Complex problem decomposition, root cause analysis, system optimization
• Business Analysis: Requirements elicitation, process mapping, stakeholder management, ROI analysis

AI-Augmented SDLC Skills

• AI Coding Assistants (Expert): Replit, Claude Code, Cursor, GitHub Copilot
• AI Output Validation (Expert): QA of AI-generated code and content
• Prompt Engineering (Advanced): Few-shot learning, chain-of-thought prompting
• AI Architecture Design (Advanced): RAG pipelines, agent systems, multi-model orchestration

Soft Skills

• Strong client communication skills (assessed via role-play)
• Clear and confident technical presentation skills (assessed via live demo)
• Problem-solving mindset (assessed via technical case study)
• Leadership and mentoring abilities (assessed via behavioral interview)
• High adaptability to ambiguity and changing requirements

Languages

• English: Upper-Intermediate+ (B2/C1) or higher
• Ukrainian: Native or C1 required

Education

• Bachelor’s degree in Computer Science, Software Engineering, or a related field

Nice to Have:

• Specification-driven development using AI-assisted requirements and documentation workflows
• Master’s degree or relevant certifications (AWS, Azure, AI/ML)

We are delighted to provide you with the following benefits:

• Opportunities for growth and development within the project
• Flexibility in scheduling
• Stable employment
• Legal assistance
• Paid time off for vacation and sick leave

Who:
We’re looking for a Senior AI/ML Engineer who combines strong machine learning fundamentals with a disciplined, evaluation-first approach to improving production AI systems.

What:
You’ll improve real AI systems used by real users — through metrics, experimentation, system design, and iteration.

When:
Start ASAP.

Where:
Remote (any location).

Type:
Full-time.

English:
Upper-intermediate or Advanced required.

The Role in a Nutshell

This is not a pure research position.

You’ll work on improving production AI systems through structured evaluation, diagnosing failures, refining prompts and agent workflows, and designing measurable improvements.

You won’t be working in isolation — you’ll improve systems that users depend on daily.

Responsibility Breakdown (Approximate)

• AI evaluation & KPI design — ~30%
• Prompt and multi-agent system design — ~30%
• ML systems (recommendation, optimization, etc.) — ~30%
• Engineering integration — ~10%

What You’ll Work On

AI Evaluation & System Quality (Core Responsibility)

• Design evaluation strategies for LLM and agent workflows
• Define metrics and KPIs for AI system performance
• Build and maintain evaluation datasets
• Systematically debug production AI failures
• Compare system behavior against baselines
• Run structured experiments and measure real impact

This is a central part of the role.

Multi-Agent AI Systems

• Improve agent orchestration and workflows
• Diagnose failures across agent pipelines
• Refine system prompts and agent interactions
• Improve reliability, latency, and output quality

Applied ML Areas (Depth > Breadth)

You’ll contribute to one or more of the following areas:

• Recommendation systems (ranking & personalization)
• Itinerary optimization & constraint-based planning
• LLM-based reasoning systems
• (Optional) Computer vision pipelines

Depth in at least one of these areas is more important than shallow experience in many.

Engineering Environment

We use:

• Golang (primary production language)
• Python for ML workflows
• Postgres, Redis, internal services

You don’t need to be a Go expert on day one, but you must be comfortable reading and modifying production code.

Backend engineers own infrastructure-heavy services — your focus is on AI system behavior, correctness, and measurable improvement.

What We’re Looking For

1️⃣ Strong AI/ML Fundamentals (Must-Have)

You understand the theory behind what you build and can choose appropriate methods.

Examples:

• Evaluation metrics (precision, recall, F1, etc.)
• Ranking & recommendation concepts
• Embeddings and similarity
• Experimentation methodology

Not required:

• Academic publications
• Advanced theoretical math
• Large-scale model training experience

2️⃣ Evaluation-Driven Mindset (Most Important Signal)

You:

• Think in metrics and baselines
• Design experiments instead of guessing
• Measure improvements quantitatively
• Debug failures methodically

This is the most important quality for this role.

3️⃣ Experience with LLM Systems

You’ve worked with:

• Prompt design
• Agent workflows
• Evaluating LLM outputs
• Production LLM integrations

4️⃣ Ability to Ship Production Systems

You can:

• Turn ideas into working systems
• Iterate based on results
• Balance exploration with delivery

5️⃣ Programming Ability

You’re comfortable writing production code in at least one language (Python, Go, or similar) and learning others as needed.

Strong Signals (Nice to Have)

• Experience improving AI systems post-deployment
• Recommendation or ranking system experience
• Optimization / constraint-based systems
• Computer vision experience
• Experience building evaluation frameworks
• Golang experience
• Startup or small-team engineering background

Ideal Candidate

• 5+ years of experience in AI/ML (exceptionally strong 3+ year candidates considered)
• Strong English communication skills
• Comfortable working in a fast-moving environment
• Focused on measurable impact, not just models