Jobs

Senior Machine Learning Engineer

You will be joining the team that designs, builds, and scales machine learning systems powering personalization and customer engagement at large scale. This is an opportunity to work on production-ready ML pipelines, real-time decision-making systems, and experimentation frameworks that directly impact millions of users.

Your responsibilities will include:

 

• Developing pipelines that transform behavioral, demographic, and contextual data into real-time features.
•  Designing APIs and services for low-latency prediction and decision-making.
•  Implementing frameworks for A/B testing, exploration/exploitation strategies, and model evaluation.
•  Working closely with product and engineering teams to balance engagement, business value, and compliance.
•  Establishing monitoring, logging, and retraining workflows to continuously validate and improve models.

What we expect from you:

• 5+ years of applied ML engineering experience (recommendation systems, personalization, ranking, or ads).
• Strong background in Python and/or Go, SQL, and ML frameworks such as TensorFlow or PyTorch.
• Experience deploying real-time ML systems (low-latency serving, feature stores, event-driven architectures).
• Familiarity with cloud ML platforms (Vertex AI, SageMaker, or similar).
• Experience with data warehouses (BigQuery, Snowflake, Redshift).
• Understanding of multi-objective optimization and trade-offs in personalization.
• Ability to thrive in a fast-paced, startup-style environment

Will be a plus:

• Experience in martech, adtech, CRM, or large-scale consumer personalization.
• Exposure to bandit algorithms or reinforcement learning.
• Prior work on systems serving millions of users at scale.
• Experience with Google Cloud Platform (GCP).

Soft Skills:

•  Fluent English and strong communication skills.
•  Proactive and positive attitude.
• Ability to work 9am – 4pm EST.

We offer:

• Opportunities to shape large-scale personalization technology.
• Competitive compensation package that matches your skills and experience.
• Professional growth, conferences, and skill development budget.
• Flexible remote work with support for your productivity.
• Collaborative and innovative environment where impact is valued over years of experience.
• Online&Offline activities

We are elai.io, an innovative AI-driven startup specializing in video generation. Recently acquired by Panopto — a leader in interactive video solutions — we’re now part of a growing team of around 200 professionals focused on advancing learning through powerful, interactive video technology.

We are looking for a Computer Vision Engineer to join our team and contribute to cutting-edge projects in face emotion recognition and avatar video generation. In this role, you will design, develop, and optimize AI models that power next-generation human-avatar interactions. You’ll collaborate closely with researchers, engineers, and product teams to bring innovative ideas into production, ensuring that our solutions are both technically robust and deliver exceptional user experiences.

Your responsibilities:

• Research & Innovate: Dive deep into the latest academic research to design and implement cutting-edge computer vision algorithms specifically for video generation.
• Build & Train: Develop, train, and fine-tune sophisticated neural network models (e.g., GANs, Diffusion Models, Transformers, NeRFs) to achieve state-of-the-art results.
• Analyze & Optimize: Define crucial quality metrics, run rigorous machine learning experiments, and perform in-depth analysis to continuously improve model performance.
• Manage Data: Research, identify, and utilize appropriate large-scale datasets to train and validate your models.
• Deploy & Ship: Write clean, robust, and efficient production code, and collaborate with the engineering team to deploy your models into our core product.
• Knowledge Transfer & Documentation: Create detailed documentation for model architectures, experimental results, and production code. Conduct knowledge-sharing sessions to mentor and collaborate with the broader technical team.
• Lead the Field: Be a thought leader on the team, staying on top of industry trends and proposing new technologies to keep us at the cutting edge.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field
• 4+ years of experience in machine learning or deep learning roles
• Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
• Experience with computer vision, or generative models (e.g., GANs, VAEs, diffusion models)
• Strong understanding of model training, evaluation, and deployment pipelines.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)

We offer:

• Competitive salary based on qualifications and contributions
• Paid vacation and sick leaves
• Flexible working hours
• Opportunity to work with a highly qualified international, friendly team
• Fully remote work

We are looking for an experienced Mainframe Engineer (COBOL, JCL) to join our enterprise technology team. The role involves designing, developing, maintaining, and modernizing legacy mainframe applications, ensuring stability, performance, and integration with modern systems. The ideal candidate has deep expertise in COBOL programming, JCL job control, and mainframe utilities, combined with strong problem-solving skills and the ability to work in mission-critical environments such as banking, insurance, healthcare, or telecom.

Key Responsibilities

• Design, develop, and maintain mainframe applications using COBOL, JCL, CICS, VSAM, and DB2.
• Analyze, troubleshoot, and resolve production issues to ensure uninterrupted operations.
• Write, modify, and optimize JCL scripts for batch processing and automation.
• Work with DB2 databases: develop queries, optimize performance, and maintain data integrity.
• Participate in system modernization projects, integrating mainframe systems with cloud or distributed platforms.
• Collaborate with business analysts and functional teams to understand requirements and deliver technical solutions.
• Perform code reviews, testing, and debugging to ensure software quality and compliance.
• Support migration, upgrade, and disaster recovery planning.
• Document processes, solutions, and best practices for ongoing knowledge sharing.

Requirements

• 5+ years of experience in Mainframe development and support.
• Strong programming knowledge in COBOL, JCL, CICS, VSAM, and DB2.
• Experience with batch and online processing in large-scale enterprise systems.
• Familiarity with utilities (SORT, IDCAMS, IEBGENER, DFSORT, etc.).
• Knowledge of mainframe testing and debugging tools (Expeditor, Abend-Aid, File-Aid).
• Understanding of software development lifecycle (SDLC), Agile/Waterfall methodologies.
• Strong analytical and troubleshooting skills, with experience in production support.
• Excellent communication skills, able to work with cross-functional teams in a remote setup.

Nice to Have

• Experience in mainframe-to-cloud migration projects (AWS Mainframe Modernization, Azure, GCP).
• Exposure to API integration with mainframe applications (REST, SOAP, MQ).
• Knowledge of Rexx scripting or Assembler.
• Experience in regulated industries (finance, healthcare, telecom, government).
• Familiarity with DevOps tools for mainframe (Endevor, Changeman, Git for Mainframe).

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 Gen 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 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;
• Client Interaction: Work closely with clients to understand their unique needs and provide expert guidance and support throughout the project lifecycle.

Requirements and skills:

• 1-2 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 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

BigD is seeking a passionate Senior Email Specialist (iGaming) to join our team. In this hybrid role, you’ll set up and maintain our email infrastructure to ensure top deliverability while also creating and executing effective marketing campaigns.

Location: Remote/Flexible (Serving a top-tier LATAM iGaming Brand)

Are you an Email Marketing Technologist obsessed with deliverability, infrastructure, and automation? Do you thrive on optimizing complex systems to ensure every message lands in the inbox?

We're a leading iGaming operator in the LATAM market, and we're looking for a highly skilled and passionate Senior Email Specialist to own the technical backbone of our retention strategy. This role is crucial for maximizing the reach and effectiveness of our large-scale marketing communications.

💡The Core Focus: Technical Email Infrastructure & Deliverability

This role is the technical guardian of our entire email ecosystem. You'll ensure peak performance for millions of sends, directly impacting customer engagement and Lifetime Value (LTV).

What You'll Master:

• Email Infrastructure Ownership: Conduct a thorough technical audit of our current setup. Configure, maintain, and monitor essential protocols including SPF, DKIM, and DMARC records to secure high sender trust.
• Deliverability & Reputation Management: Develop and execute strategies for IP/Domain reputation management and targeted warm-up plans. Relentlessly troubleshoot and resolve complex deliverability issues, including managing blacklists, spam traps, and bounce handling.
• Automation & Campaign Execution: Develop, deploy, and manage sophisticated triggered and automated email flows alongside large-scale newsletters. Utilize basic HTML/CSS skills for quick template troubleshooting and optimization.
• Compliance & Monitoring: Guarantee strict adherence to global email regulations like GDPR and CAN-SPAM. Track and analyze key technical metrics: inbox placement, spam complaints, bounce rates, and overall system health.
• Retention Strategy Tech: Collaborate on the development of multi-channel retention strategies (email, SMS, push) and apply A/B testing methodologies to technically optimize Customer Journey Maps.

✅What You'll Bring to the Table:

• 2+ years of dedicated experience in email deliverability and marketing at scale.
• Solid expertise in technical email authentication protocols: SPF, DKIM, DMARC, and a deep understanding of feedback loops and sender reputation.
• Proven hands-on experience running and optimizing large-scale email campaigns (100k–1M+ sends).
• Experience in the gambling/iGaming industry is a must -have
• Basic to intermediate HTML/CSS skills for template management and troubleshooting.
• A strong analytical mindset for working with deliverability data, identifying system weak points, and implementing technical fixes.
• Understanding of the technical requirements for multi-channel marketing systems (SMS, push, WhatsApp).
• Business-level English and Ukrainian with excellent written and verbal communication skills.

• Problem solving approach

   

✨Your Rewards & Environment:

Join a highly engaged, ambitious team that values technical expertise and operates with minimal bureaucracy.

• Competitive remuneration and a comprehensive benefits package.
• 28 calendar days of annual leave and paid sick leave.
• Compensation for courses, training, and personal development.
• Flexible cooperation schedule and regular remuneration reviews.

If you're ready to put your technical email marketing skills to work in a dynamic, high-growth iGaming environment, we want to hear from you!🧡

Hello!

My name is Mykola, and I am the co-founder of Harmix AI. We are a Ukrainian B2B product company building innovative AI products.

After creating an AI-powered search platform for media businesses, we are now developing our next product – Proactive AI Manager – an agentic productivity tool that evolves from our search technology into a system of intelligent AI agents. Backed by investment from a Canadian fund in 2023, we are already working with clients worldwide.

We are expanding our team and seeking an Agent Developer to help us rapidly build solutions for real-world business cases.

What You’ll Do

• Design, prototype, and ship AI agent solutions for real business and personal productivity use cases.
• Develop, integrate, and optimize AI agents using LLMs and supporting infrastructure.
• Write scripts and prompts that ensure reliable, high-quality outputs.
• Build and maintain integrations with APIs, infrastructure components, and MCP servers.
• Operate in a fast-paced startup environment where delivering value quickly is key.

Skills & Experience We’re Looking For

1. Prompting — advanced ability to design, structure, and optimize prompts for LLMs.

2. AI Agents & LLMs — familiarity with popular frameworks and tools

3. Python & Scripting — coding background to automate tasks quickly and efficiently.
4. MCP servers — familiarity with Model Context Protocol
5. Infrastructure — understanding of deployment, scaling, and monitoring AI systems.

Who You Are

• Excited to work directly with business use cases to solve practical problems.
• Comfortable with ambiguity and rapid iteration in an early-stage environment.
• Independent, but also collaborative, with a strong sense of ownership.

What We Offer:

• Full-time remote contract (40 hours/week).
• Flexible work schedule.
• A fast-paced, collaborative startup environment with room for professional growth.
• Direct impact on the development of innovative AI products shaping the future of the industry.

We are looking for an ML/AI Engineer to join our team.
 

Requirements:
- 4+ years of commercial experience in Machine Learning / AI development
- Hands-on experience with NLP (text classification, NER, embeddings, transformers, LLMs)
- Proficiency in Python and ML frameworks (PyTorch / TensorFlow, scikit-learn, spaCy, etc)
- Experience with data preprocessing, vector databases, and model fine-tuning
- Strong understanding of algorithms, data structures, and statistical methods
- Experience with Git, CI/CD workflows
- English: Upper-Intermediate or higher (spoken and written)
- Experience with computer vision (CV) will be a plus.
 

Responsibilities:
- Design, train, and deploy ML/NLP models for text analysis and automation
- Build pipelines for preprocessing, feature extraction, and model serving
- Optimize inference and ensure scalability of AI solutions
- Collaborate with backend/frontend developers.

What we offer:
- Fully remote position
- Friendly and supportive team
- Opportunity to work on cutting-edge AI/NLP projects
- Career growth up to Team Lead
- Standard working hours, no overtime or weekend work

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

Engineering Manager, 6 ML & AI 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 others.

  - Experienced in natural language processing and modern LLM-based techniques.

  - Experience with full ML lifecycle, data preprocessing, training, evaluation stage, 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 professionally express your thoughts 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 learning 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.

Interview steps

• Pre-Screening with the recruiter
• Technical interview (up to 90 min)
• System Design interview (up to 45 min)
• Behavioral Round with Product Manager (45 min)
• Final interview with Engineering Manager (60 min).

We are looking for an AI Engineer (Research & Development). As an AI Engineer, you will join the R&D team working on AI products and help scale the AI offering through marketing activity.

Skills and experience you can bring to this role!

Qualifications & experience:

• 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;
• 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 understand and can explain how business value could be generated out of the use of AI technologies;
• You have built ML/AI powered solutions and used available services & tools and/or built bespoke ML models/solutions;
• You've investigated the practical application of generative AI/LLMs through pet projects and PoCs, exploring ready-to-go products, and you can demonstrate or discuss the output;
• You have experience in LLMs/SLMs assessment, selection, and fine-tuning for the specific use case;
• You enjoy writing code, preferably in Python and have 3+ years of experience in commercial development;
• You know what prompt engineering, vector databases, embeddings, multi-stage reasoning, RAG, and MLOps are, and you have had a practical (could be non-commercial) experience with some of the listed things;
• You enjoy communication and can talk to both technical and non-technical stakeholders.

Nice to have: 

• You have previous experience in data engineering;
• You are active in the growing AI community, attend webinars, events, and meetups, or are interested in becoming active;
• You have some front-end experience building simple UIs to demonstrate solutions end-to-end or are open to gaining such;
• You are interested in developing a personal brand through participation in content creation in collaboration with marketing & AI Lab.

What impact you’ll make

• Participate in research and development activities by working on Star's internal AI products;
• Create proof of concepts for our clients and prospects, focusing on applying AI technologies;
• Monitor and research changes in the AI developer ecosystem and approaches and apply them in practice to develop Star's AI capabilities;
• Participate in client calls during late sales cycle stages, present technical expertise, and help build solutions; 
• Act as a subject matter expert on AI to assist with Star's marketing and branding efforts.

The UKEESS Software House team is currently looking for a Senior AI LLM Data Scientist / Engineer to join our team for a full-time position (remotely in Ukraine or in Lviv’s office).

About the Customer and the Project:

Our customer is the world’s largest DNA network, based in the USA. This presents a unique opportunity to work with more than 60 billion digitized global historical records, 100 million family trees, and 18+ million people in their growing database. Our customers help people discover their family stories and gain actionable insights about their health and wellness. 

About the team:

You will join the AI Content team, a dynamic group at the forefront of Document Understanding. You’ll play a vital role in developing innovative AI models that extract and organize text and image information from billions of historical and genealogical records, enabling customers to discover, share, and connect with their family history. 

As a member of the AI Content team, you will work with AI technologies and LLMs to deploy, test, and evaluate model capabilities, quality, throughput, and cost for document understanding tasks such as layout analysis, transcription, entity recognition, relation extraction, summarization, etc. You will work with a dedicated mentor on the AI Content data science team, along with engineering teams, to train, optimize, and deploy models that promote product development, customer success, and content creation across our project.

What you will do:

• Integrate LLMs: Integrate both open source and provider-based LLMs into our internal AI Gateway. 
• LLM Optimization: Optimizing open source LLMs for faster inference using frameworks like VLLM, SGLang
• Tools/Scripts/Dashboards: build a tool/script/dashboard to track and compare speed or time required, as well as token count and cost estimates for processing images with the various LLMs.  
• Optional Opportunities: Optional opportunities exist to explore LLM word token bounding box detection, LLM as a Judge, and other LLM evaluation work. 
• Collaborate on Cloud Deployment: Partner closely with ML Ops and Data Science Engineers to seamlessly deploy datasets, truth sets, models, and pipelines for training and inference in cloud environments.
• Communicate Insights Effectively: Clearly and confidently present your findings, deliverables, and proposed solutions to technical and non-technical audiences, including teams, stakeholders, and executives.

Requirements:

• 5+ years of experience in Data Science with AI/ML 
• Proven experience in Python programming as well as tools and environments for model deployment.
• Knowledge and experience with multiple AI LLMs, including both proprietary and open-source models, and their respective strengths and limitations.  
• Knowledge and experience with such frameworks as VLLM, SGLang
• Ability to stay up-to-date with new models, benchmarks, and best practices.
• Practical experience with cloud platform AWS (e.g. Amazon SageMaker, EC2, S3, AWS Lambda).
• English: Upper-intermediate at least (both spoken and written)

It will be a plus:  

• Familiarity with cloud platforms and related AI/ML services such as Google GCP Gemini API, Vertex AI, Azure, etc.  
• Commercial experience with Terraform or CloudFormation
• Experience with agentic architecture
• Familiarity with AI coding tools 

What You’ll Gain

• Mentorship & Growth: Learn from experienced Data Scientists while tackling meaningful, real-world AI projects, expanding your knowledge and professional network within a collaborative culture. 
• Collaboration & Impact: Work alongside top industry professionals and help shape the tools that bring family history to life for millions of users.
• Innovation & Purpose: Join a team at the forefront of applying AI to historical data - where every model you build helps preserve human stories.

What do we offer our new colleague?

• Competitive compensation (based on market data, but also depending on the technical level of the candidate)
• Flexible work schedule
• 3 health packages to choose
• Annual paid vacation and state holiday celebration
• Free English classes (online)
• Individual approach to professional growth
• Lack of bureaucracy and micromanagement
• Modern, comfortable office facilities (a barbecue zone, kitchens, lounge rooms, coffee machines, etc.)
• Foreign business trips (after the war)
• On-site parking lot and charge station for Electric Cars
• Corporate gifts, celebrations, and fun activities

• Sports activities: ping-pong, soccer, work-out

   

Suppose you have a passion for solving challenging problems, building scalable, robust systems, love working with the latest technologies in a fast-paced, flexible environment, and are excited about the prospect of having a significant impact on products with more than 3 million paying subscribers. In that case, we want to talk to you! ;-)

The UKEESS Software House team is currently looking for a Senior AI Data Scientist / Engineer to join our team for a full-time position (remotely in Ukraine or in Lviv’s office).

About the Customer and the Project:

Our customer is the world’s largest DNA network, based in the USA. This presents a unique opportunity to work with more than 60 billion digitized global historical records, 100 million family trees, and 18+ million people in their growing database. Our customers help people discover their family stories and gain actionable insights about their health and wellness. 

About the team:

You will join the AI Content team, a dynamic group at the forefront of Document Understanding. You’ll play a vital role in developing innovative AI models that extract and organize text and image information from billions of historical and genealogical records, enabling customers to discover, share, and connect with their family history. 

As a member of the team, you will work with KB (Knowledge Base) and RAG (Retrieval Augmented Generation) implementations, integrating architectures leveraging SQL-structured databases along with vector databases supporting semantic search and retrieval applications. You will work with a dedicated mentor from the data science team, as well as engineering teams, to train, optimize, and deploy models that promote product development, customer success, and content creation across our project.

What you will do:

• Configure structured and vector databases: Align and sync database schemas across structured and vector databases 
• Curate and organize content collection metadata: Prepare and format provided content collection metadata to be compatible with defined database schemas 
• Ingest content collection metadata:  Ingest collection metadata from provided sources into a structured SQL database.
• Embeddings generation: Help develop a tool/script to generate embeddings from the structured data to populate the vector database.
• Iterative improvement: Iterate on adjusting the database schema, indexes, embeddings, etc., to support various queries and use cases for analyzing the ingested content collection metadata
• Collaborate on Cloud Deployment: Partner closely with ML Ops and Data Science Engineers to seamlessly deploy datasets, truth sets, models, and pipelines for training and inference in cloud environments.
• Communicate Insights Effectively: Clearly and confidently present your findings, deliverables, and proposed solutions to technical and non-technical audiences, including teams, stakeholders, and executives.

Requirements:

• 5+ years of experience in Data Science
• Strong hands-on commercial experience with LLMs in production, RAG architecture, and agentic systems
• Expertise with data collection, organization, curation, and formatting to populate SQL databases. 
• Experience with SQL databases, including adjusting schemas and indices to optimize for efficient queries. 
• Familiar with embedding generation and use of vector databases for semantic search and retrieval. 
• Strong proficiency and experience with Python and relevant tools and libraries
• Practical experience with cloud platform AWS (e.g. Amazon SageMaker, EC2, S3, AWS Lambda).
• English: Upper-intermediate at least (both spoken and written)

It will be a plus:

• Knowledge and experience with cloud platforms and related AI/ML services such as Google GCP Gemini API, Vertex AI, Azure, etc.  
• Strong knowledge and experience with LightLLM
• Commercial experience with Terraform or CloudFormation
• Experience with agentic web scraping tools

What You’ll Gain

• Mentorship & Growth: Learn from experienced Data Scientists while tackling meaningful, real-world AI projects, expanding your knowledge and professional network within a collaborative culture. 
• Collaboration & Impact: Work alongside top industry professionals and help shape the tools that bring family history to life for millions of users.
• Innovation & Purpose: Join a team at the forefront of applying AI to historical data - where every model you build helps preserve human stories.

What do we offer our new colleague?

• Competitive compensation (based on market data but also depending on the technical level of the candidate)
• Flexible work schedule
• 3 health packages to choose
• Annual paid vacation and state holiday celebration
• Free English classes (online)
• Individual approach to professional growth
• Lack of bureaucracy and micromanagement
• Modern, comfortable office facilities (a barbecue zone, kitchens, lounge rooms, coffee machines, etc.)
• Foreign business trips (after the war)
• On-site parking lot and charge station for Electric Cars
• Corporate gifts, celebrations, and fun activities

• Sports activities: ping-pong, soccer, work-out

   

Suppose you have a passion for solving challenging problems, building scalable, robust systems, love working with the latest technologies in a fast-paced, flexible environment, and are excited about the prospect of having a significant impact on products with more than 3 million paying subscribers.

In that case, we want to talk to you! ;-)

About the project:

We are building a corporate AI Assistant powered by Microsoft Azure and OpenAI technologies. The system helps employees search, analyze, and generate internal documents. The long-term goal is to extend AI Assistant capabilities across all company departments.

To strengthen our team, we are looking for an experienced ML Architect (Azure AI / RAG) who will design and implement the machine learning architecture, integrate AI models, and ensure production-level performance and reliability.

Responsibilities:

• Design and implement AI architecture on Microsoft Azure (Azure ML, Cognitive Search, OpenAI, Databricks). 
• Build and manage RAG pipelines (Retrieval-Augmented Generation) and vector search systems. 
• Develop and optimize ML pipelines for embeddings, data preprocessing, and model evaluation. 
• Collaborate with DevOps and Data Engineer teams to ensure seamless integration and deployment. 
• Establish and maintain MLOps practices (model versioning, evaluation, monitoring). 
• Define and track AI performance metrics (latency, precision, recall, cost per request). 
• Create documentation (ADR, architecture diagrams, experiment tracking).

Requirements:

• 3+ years of experience in Machine Learning / AI / Data Engineering. 
• Strong background with Microsoft Azure ML / Cognitive Search / Databricks / OpenAI. 
• Proficiency in Python, FastAPI, LangChain / LlamaIndex, MLflow, Airflow. 
• Hands-on experience with vector databases (FAISS, Pinecone, pgvector, Cognitive Search). 
• Understanding of RAG, embeddings, prompt optimization, LLM orchestration. 
• Experience building MLOps / CI-CD for ML models in production. 
• English — Upper-Intermediate+ (for documentation and collaboration).

Will be a plus:

• Experience with Azure OpenAI Service, Azure Document Intelligence. 
• Knowledge of data governance, PII protection, cost optimization. 
• Background in AI-driven enterprise automation or corporate assistants.

We offer:

• Opportunity to design a core AI architecture from scratch and influence all key technical decisions. 
• Participation in a high-impact AI transformation project that scales across multiple departments. 
• Remote or hybrid work format, flexible schedule. 
• Transparent B2B / contract cooperation. 
• Supportive and technically strong team (DevOps, Data, Product).

How to apply:

Send your CV.
We will contact you shortly.

Join our partner to build the ML systems that power actionable insights for investors everywhere. 
 

What you’ll do

• Design, train, and evaluate ML/DL models (with a strong emphasis on classical ML where appropriate) for ranking, prediction, and risk/quality signals.
• Productionize models end-to-end: data pipelines, feature stores, deployment, scaling, monitoring, and optimization.
• Collaborate with product, research, and engineering to translate financial problems into measurable ML solutions.
• Own experiment design, metrics, and A/B testing; communicate findings clearly to technical and non-technical stakeholders.

• Contribute to model governance, reproducibility, and documentation across the ML lifecycle.

   

What you’ll bring

• MS or PhD in Computer Science, Data Science, AI, or a related quantitative field.
• 4+ years building and shipping ML/DL models in production (with depth in classical ML methods).
• Expert coding in Python; hands-on with PyTorch and/or TensorFlow and common DL libraries.
• Strong foundations in linear algebra, calculus, statistics, and probability.
• Solid grasp of algorithms and data structures.
• Proficiency with Pandas, scikit-learn, and the broader Python data stack.
• Experience with model deployment, optimization, scaling, and serving.
• Excellent problem-solving, analytical, and quantitative skills.
• Hands-on experience delivering solutions in the financial domain.

• Clear, concise communicator and a collaborative team player.

   

Nice to have

• Research or applied experience in LLMs/NLP and modern machine learning.
• Work with multi-modal data (e.g., text, tabular/market data, images, audio).
• Familiarity with AWS or GCP for large-scale training/inference.
• Understanding of MLOps and production ML workflows (CI/CD for models, monitoring, model/data versioning).
• Background in information retrieval, knowledge graphs, or reasoning.

Softcery builds advanced AI systems for B2B SaaS companies. We partner with founders in the US and UK to design, build, and scale production-ready AI solutions that solve real business challenges. Our team focuses on complex AI engineering — systems that are technically robust, business-aligned, and built to scale.

We combine deep technical expertise with strong product thinking, helping companies move from AI ambition to real, production impact

We are looking for an AI Developer in Lviv to join our team. If you are driven by AI, want to influence the product, and grow in a strong team — join us.

 

What You’ll Do:

• Integrate LLM into products — connect, configure, and optimize commercial LLM (OpenAI, Anthropic, Mistral, etc).
• Develop AI-oriented solutions — create chatbots, voice agents, and other AI products.
• Optimizing model performance — prompt engineering, reducing hallucinations, improving response productivity.
• Collaborating with the development team — integrating AI components into backend systems.
• Participation in technical calls with clients — presenting the current status of the project, gathering requirements, and clarifying expectations.
• Research and implementation of new AI solutions — analyzing new models, APIs, and frameworks to improve the company’s AI expertise.
  
   

What We’re Looking For:

• 2+ years of experience in AI/ML.
• Excellent knowledge of Python — most of our solutions are built on it.
• Experience with LLM (GPT, Claude, Gemini), prompt-engineering skills — you know how to integrate models into products and optimize prompts for specific tasks.
• Experience with SQL DBs — you have a good understanding of data structuring and can work with large volumes.
• Product mindset — you think not only technically, but also with the user’s needs in mind. Ready to look for the best solutions, not just “get the job done.”
• Fluency in Ukrainian and English (Upper-Intermediate+) — because communicating with customers is part of the job.
  
   

Nice to nave:

• Experience with fine-tuning models.
• Basic DevOps/MLOps skills.
• Knowledge of JS/TS.

What We Offer:

• Structured onboarding & dedicated support — you’ll get a clear onboarding plan, documented workflows, and a team that’s got your back.
• Flexible remote schedule — work from wherever and whenever you’re most productive.
• Learning budget — we cover books, courses, English lessons, and AI tools for your professional growth.
• Full accounting support — so you can focus on the work, not the paperwork.
• Time off — 20 paid vacation days, 12 sick days, 2 paid period leave days/month (for women), and your birthday off.
• IT Cluster membership — access to professional events and networking opportunities in the local tech community.

🔁 Hiring Process: Recruiter Interview → Tech Interview → Test Task → Final Interview.

If you care about who you work with, what you create, and how it affects the outcome, we will definitely be on the same page. We’re excited to meet you 👋

Responsibilities:

• LLM configuration and optimization (Mistral, LLaMa, Qwen or others) - fine-tuning, quantization, performance tuning;
• Assessing required computational resources, selecting the optimal infrastructure for model deployment (on-premise or cloud), and analyzing cost efficiency;
• Implementing RAG to integrate models with vector databases;
• Orchestrating interactions between multiple ML services (e.g., one model generates tags, and another validates task descriptions).
• Developing a service for interacting with the model (API for predictions, model management, integration with our application).
• Optimizing model performance for real-world usage.

Requirements:

• Experience with LLM models (Mistral 7B, GPT-3/4, LLaMA, Claude, Falcon, Bloom, etc.);
• Understanding of Retrieval-Augmented Generation (RAG) and model integration with databases;
• Proficiency in Python and libraries like PyTorch, TensorFlow, Hugging Face, and LangChain;
• Experience in evaluating and optimizing infrastructure for AI deployments;
• Experience in developing APIs for integrating AI models into business processes;
• English level at least A2-B1.

Nice to have:

• Hands-on experience with fine-tuning and dataset preparation/annotation;
• Experience with vector databases (Pinecone, Weaviate, FAISS);
• Experience with Java.

We offer:

• Regular result-based salary reviews;
• Comfortable working hours (10-19 Kyiv time zone);
• Bonus system;
• Established product-focused environment;
• Range of tasks, from quick and simple to challenging investigation to run;
• Cheerful & dynamic environment;
• Friendly and open-minded team;
• Virtual workspace with perspective to move into one of the offices;
• Mentorship;
• Attractive social package (unlimited and paid sick days, fully paid vacation, birthday day off, etc;)
• Sport and English classes discounts.

Hiring steps:

• First interview with the Recruiter;
• Technical interview with the Team Lead;
• Job Offer.