Jobs ML / AI Engineer

Atlas Technica’s mission is to shoulder IT management, user support, and cybersecurity for our clients, who are hedge funds and other investment firms. Founded in 2016, we have grown 100% year over year through our uncompromising focus on service.

We value ownership, execution, growth, intelligence, and camaraderie. We are looking for people who share our Core Values, thrive, and contribute to this environment while putting the customer first. At Atlas Technica, we offer a competitive salary, comprehensive benefits, and great perks to our global Team. We strive to maintain a professional yet friendly environment while promoting professional and career development for our Team Members. Join Atlas Technica now!

Design and deploy intelligent chatbots using Foundry Workflows, Microsoft Agent Framework, OpenAI. Build and operate multi-agent orchestration pipelines with Azure AI Foundry and Model Context Protocol (MCP). Integrate AI with enterprise systems via RESTful APIs, ensuring compliance with security and privacy standards. Stay current with LLM advancements, collaborate across teams, and mentor junior engineers.

Responsibilities:

AI Agent & Chatbot Development

• Design, build, and deploy intelligent conversational agents using Foundry Workflows, Microsoft Agent Framework, OpenAI.
• Develop prompt strategies and manage datasets to support context-aware, multi-turn dialogue and accurate responses.
• Conduct rapid prototyping to validate technical feasibility and demonstrate business value of AI-driven solutions.
• Design agentic loops with task decomposition, state passing between agents, and workflow enforcement for multi-step ticket resolution.

• Implement structured error responses and graceful degradation in agent tool calls, including timeout handling, retry logic, and fallback cascades.

   

Data & Model Engineering

• Build and maintain data ingestion and indexing pipelines for Azure AI Search and Cosmos DB.

• Evaluate and optimize AI system performance for accuracy, scalability, latency, and cost-efficiency.

   

System Integration & Architecture

• Architect and implement integration between AI and enterprise systems (e.g., ConnectWise PSA, Confluence, etc.) using RESTful APIs.
• Implement and maintain MCP servers (Model Context Protocol) for secure, typed tool integration between AI agents and enterprise APIs.
• Deploy containerized services to Azure using multi-stage builds and Azure Pipelines CI/CD.
• Security, Compliance & Governance
• Ensure AI systems comply with data privacy regulations (e.g., GDPR) and enterprise-grade security standards.

• Implement access controls, data encryption, and audit logging for sensitive AI workflows.

   

Research & Innovation

• Stay current with evolving LLM technologies, frameworks and methodologies.

• Evaluate emerging tools and techniques to continuously improve solution quality and delivery speed.

   

Collaboration & Leadership

• Work closely with cross-functional teams to interpret business requirements and recommend LLM-driven solutions.
• Contribute to technical and architectural decisions, ensuring alignment with strategic goals.

• Mentor junior engineers and support knowledge sharing across the team.

   

Operational Excellence

• Take ownership of incident resolution, and bug fixes.
• Create and maintain technical documentation for AI systems, models, and integration workflows.

Requirements:

• English level — B2 or higher
• 5+ years of experience in AI engineering and .NET software development (.NET 10, ASP.NET Core/WebAPI, C#) with frontend experience in React 19 / Next.js 15 / TypeScript, with a focus on Azure-based solutions.
• Experience building intelligent chatbots and autonomous agents (Agentic AI) that perform real actions, plan, reason, and act with minimal human input; familiar with multi-agent orchestration and agent memory.
• Strong expertise in embeddings, search, and prompt engineering.
• Strong understanding of large language models (LLMs), their limitations, and modern capabilities (e.g., GPT, Claude, Gemini).
• Hands-on experience with Azure AI services (Azure AI Foundry, Azure OpenAI, Azure AI Search) and hands-on experience with MCP or similar protocols for secure, scalable integration between AI agents and enterprise systems.
• Familiarity with multi-agent orchestration patterns: coordinator-subagent workflows, maker-checker validation, signal-based confidence scoring, and context preservation across multi-turn interactions.
• Experience designing prompts with explicit evaluation criteria, few-shot techniques, structured output via JSON schemas, and validation/retry loops for reliable LLM responses.
• Awareness of AI-specific security concerns: PII handling, data boundary enforcement, prompt injection prevention, and compliance considerations (e.g., GDPR).

• Ability to write clean, maintainable, and testable code following SOLID principles and Clean Architecture patterns.

   

Desirable Qualities:

• Understanding of AI solution architecture patterns: LLM gateway/service layer, retrieval layer, orchestration/agent layer, and evaluation/observability layer.
• Experience testing AI-enabled components using deterministic seams (mocked LLM clients, retrievers, tools), scenario-based tests, and regression/evaluation datasets for non-deterministic outputs.
• Understanding of retrieval systems (keyword search, vector search, embeddings) and ranking algorithms
• Familiarity with AI/ML versioning practices: prompt version control with semantic tagging, evaluation baseline tracking, dataset versioning, experiment reproducibility.
• Familiarity with deploying, monitoring, and maintaining ML models in production environments.
• Experience with Azure Cosmos DB, Azure Container Apps, Docker containerization
• Familiarity with CI/CD pipelines and DevOps practices.
• AI-102
• Experience with Application Insights telemetry, distributed tracing.
• Prior experience integrating AI agents with enterprise platforms like ConnectWise PSA, Confluence, SPO, etc.

Atlas Technica is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

At Geniusee, we help businesses thrive through technology partnerships and strengthen the engineering community by sharing knowledge and creating opportunities 🙌

We live by our values: Continuous Growth, Team Synergy, Taking Responsibility, Conscious Openness, and Result-Driven Mindset. Here, you’ll find a safe, inclusive, and supportive environment where your voice is heard, and feedback is welcome 🤗

Whether you want to work from home or from our offices in Kyiv / Lviv / Warsaw with stable electricity and Wi-Fi, we’ve got you covered.
Join us and make an impact 💜

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).
● Hands-on experience running computer vision pipelines — object detection, segmentation, feature extraction, or similar vision tasks in production or research settings.
● 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.
● Run and maintain computer vision workflows, including model inference, image/video preprocessing, and integration with broader AI pipelines.
● 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).
● Experience with computer vision frameworks such as OpenCV, PyTorch Vision, or Detectron2.
● Familiarity with NeRF-based or Gaussian Splatting tools (e.g., nerfstudio, gaussian-splatting, gsplat) and related 3D representation techniques.
● Contributions to open-source projects or participation in R&D initiatives related to AI, retrieval systems, computer vision, or 3D reconstruction.
 

What will you get:

Career growth & projects
● Competitive salary based on your skills and experience, and a benefits package.
● Regular performance appraisals to support your career development.
● Professional development support: online courses, certifications, and study compensation (including English courses).
● A modern tech stack across challenging, long-term projects.

Health & well-being
● Paid vacation (18 working days) and sick leave (15 days).
● VIP medical insurance or sports coverage.

Work environment & flexibility
● Remote work from anywhere in the world or in one of our offices in Kyiv, Lviv, or Warsaw.
● Coworking compensation.
● Necessary equipment to perform your work.

Culture & community
● A collaborative and open culture where contributions are recognized.
● Regular corporate online & offline activities.
● Geniusee Charity Fund, making a difference beyond tech.

High-risk (gambling / entertainment) long-term project focused on building a scalable infrastructure for mass creation and management of websites (PBN).

We automate everything: content generation, deployment, monitoring — using n8n + AI + custom pipelines.

NDA project. 

Key focus: speed, scalability, efficiency.

Responsibilities:

• Build and maintain automated platform (n8n-based)
• Design and support complex workflows (10+ interconnected flows)
• Orchestrate pipelines: task → processing → content generation → deploy
• Create and adapt HTML/CSS/JS templates (multi-theme, multi-locale)
• Integrate external APIs (AI/LLM, domains, hosting, DNS, analytics)
• Work with PostgreSQL / Redis / Supabase

• Implement monitoring, retries, fault tolerance, rollback logic

   

Requirements:

Core

• Strong JavaScript / Node.js
• Hands-on experience with n8n (complex workflows) must 
• Solid PostgreSQL (SQL, JSONB, transactions, concurrency)
• Experience with REST API integrations
• Docker (docker-compose, networking, volumes)
• HTML/CSS (fast prototyping level)
• Basic understanding of DNS, SSL, CDN

Frontend / Templates

• HTML/CSS/JS templates development
• Mustache / Handlebars
• Multi-language markup (hreflang, locales)
• Dynamic theming (CSS variables, design variations)

Automation / n8n

• Multi-step pipelines orchestration
• Rate limiting, retries, fault tolerance
• Working with queues & concurrency
• PostgreSQL inside n8n workflows

• API + LLM integrations

   

Nice to have:

• Cloudflare (Workers / Pages / API)
• Redis
• Supabase
• Qdrant / vector DBs
• LLM / prompt engineering

• Wrangler CLI

   

Tech stack:

n8n (self-hosted), Node.js, PostgreSQL, Redis, Supabase, Qdrant
Docker, Cloudflare, OpenRouter API
Mustache / Handlebars, HTML/CSS/JS

We offer:

• Long-term project
• High level of ownership
• Real scaling challenges (not “just CRUD”)
• Modern stack (AI + automation-first approach)
• Competitive compensation

Job Description

• Core AI Frameworks: Strong proficiency in Python, PyTorch, and TensorFlow and other Deep Learning libriries for developing denoising and enhancement models.
• Computer Vision & Enhancement: Deep understanding of image transformation matrices and granular control over image enhancement parameters.
• Advanced Image Metrics: Experience in calculating and thresholding quality metrics, including brightness, noise, and shape indices.
• AI-Assisted Labeling: Hands-on experience with Label Studio for real-time interactive AI-assisted segmentation and data annotation.
• MLOps for Vision: Proficiency in MLflow for artifact tracking and DVC for managing large image dataset versioning.
• Orchestration & Tools: Experience using Apache Airflow to automate complex enhancement workflows and OpenVINO for model optimization.
• Statistical Auditing: Ability to perform statistical reviews of evaluation results to ensure production safety and model accuracy.

Job Responsibilities

As an ML Engineer (AI Developer), you will bridge the gap between process engineering and scalable AI infrastructure.

• Modular Image Processing: Design and develop custom image pre-processing flows and device-specific adapters to ensure customer needs are met across different device types.
• Pipeline Engineering: Construct various types of data processing pipelines specific to use cases on CD-SEM devices.
• Deep Learning Implementation: Utilize modern Deep Learning libraries to perform ML model training and evaluation specifically for image enhancement.
• Quality Control & Validation: Implement automated model validation and image enhancement quality control to compare processed vs. original images.
• Algorithm Integration: Add new algorithms and image processing tools via a plug-in approach to the unified platform.

Department/Project Description

Our client is evolving its existing application from a monolithic, device-specific tool into a scalable, unified MLOps platform.

The project focuses on supporting multiple Critical Dimension Scanning Electron Microscope (CD-SEM) devices and expanding AI denoising model usage across diverse environments. You will join a team moving away from hard-coded solutions toward a modular "Plugin and Adapter" architecture that automates the machine learning lifecycle—from data ingestion to edge deployment.

Findies is a social shopping network that helps women discover better products that truly fit their lifestyle. We combine expert recommendations, community, and cashback to make shopping more confident and trustworthy.

Our team is small and hands-on, and we’re looking for professionals who want real ownership and the opportunity to shape and build the business.

As we grow within the $1.19 trillion e-commerce industry, your ability to deliver results and move fast will be essential to our success.
 

About the role

We are building an AI-native company where core business processes — product development, content production, and growth — are executed by systems of AI agents.

As an AI Product Engineer, you will work on real product features, using AI tools and systems to move faster and build smarter solutions.
 

What you'll be doing

• Build and ship product features end-to-end using AI-assisted development (Claude Code, AI-agents, skills in Claude Code, etc.)
• Integrate AI capabilities into the product (e.g., generation, automation, decision logic, internal tools).
• Work with APIs, services, and data to create scalable and reliable functionality.
• Continuously improve development speed and quality using AI tools, automations, etc.
   

What you'll need

• Strong engineering background (3-6 years as a Backend or Full-stack engineer).
• Experience building real products or systems with high ownership.
• Hands-on experience working with LLMs and AI tools in practical use cases (not only theoretical knowledge).
• Ability to design and implement end-to-end workflows, including defining inputs, outputs, and system logic.
• Experience integrating multiple external services and APIs (e.g., Notion, analytics tools, CRM, CI/CD).
• Strong problem-solving and systems thinking skills — ability to break down complex problems into structured solutions.
• Comfort working in ambiguous environments without fully defined requirements.
• Ability to quickly prototype and iterate on solutions, balancing speed and quality.
• Strong communication skills and ability to collaborate with non-technical stakeholders.
   

🚀 What we offer:

• Remote-first work format with access to Genesis offices in Kyiv and Warsaw.
• Flexible schedule — most of the team works roughly 9:00 to 18:00 for convenient communication.
• Learning and growth opportunities: access to an educational hub, professional communities, workshops, and specialized courses.
• Company-provided equipment when needed.
• Support for private entrepreneurs (Ukraine/Poland): assistance with tax reporting.
• Corporate doctor available in Kyiv and Lviv.
• Medical insurance (USG) for employees in Ukraine after the probation period.
• 20 paid working days of vacation (4 weeks / 28 calendar days).
• Corporate discounts on sports, education, beauty, health, clothing, cleaning, entertainment, and gifts.
   

Apply now and join our team!

Fully Remote · Full-time

About Us

We're a product company building AI-powered solutions for international markets. The team is lean and fast-moving — we don't wait months to make decisions, we test, analyze, and scale what works. We're looking for someone who naturally fits this pace.

The Role

This position is for someone who measures their work in click-through rates and conversions, not portfolio views. You'll be a full member of the growth team — from concept to launch to performance analysis.

Responsibilities

• Produce video ads and static banners for Meta, TikTok, YouTube, and Google with a clear focus on conversion.
• Generate several fundamentally different creative concepts every week — not variations of the same idea.
• Research competitor ads, identify strong mechanics, and turn them into even more effective versions.
• Create UGC-style videos that blend naturally into the feed and don't feel like ads.
• Build your workflow around AI — generation, editing, voiceover, characters — as a standard, not an exception.
• Launch hypotheses, read the data, adjust your approach, and repeat the cycle.
• Occasionally contribute to landing page and presentation design for the product.

Requirements

• Solid understanding of performance metrics — CTR, hook rate, ROAS, scroll-stop rate — and how to influence them through design and video structure.
• Hands-on experience with video advertising: you know how to grab attention in the first 2 seconds and hold it through to the CTA.
• Confident use of AI tools for image generation, video production, and voice content.
• Ability to develop a concept from scratch with minimal briefing — high autonomy is expected.
• Comfortable maintaining a high production volume without sacrificing quality.

Nice to have:

• AI avatars: HeyGen, Synthesia, D-ID
• Voice: ElevenLabs
• Any tools for scalable UGC production

What We Offer

• Salary: $1,500 – $2,500/month depending on experience and results
• Performance bonuses tied to real metrics, not just effort
• Fully remote or hybrid — your choice
• Full access to the required AI tool stack, covered by the company
• Clear growth path to Lead Creative or Head of Creative

Inception-1 is a product company that creates AI-driven B2C products designed to help people feel more connected and less alone. Our mission is to build meaningful digital experiences that blend technology with empathy — and to prove that technology can be both human and transformative.

We’re looking for a AI/ML Product Engineer who will be responsible for delivery of AI-driven features of our product (which are the core) 
We want you to be responsible for solving complex user’s problems – delivering ready-to-use features and final value to user
This is hands-on role which requires mix of business acumen, team management and sufficient technical expertise in implementing visual and conversational AI models
Ideal candidate would have either experience of own AI-first project development (no, chat-bot is not there…) or managing the team of ML engineers with clear business impact. 
Both cases imply experience with agentic coding and AI tools/ agent integration - eg. you built pipeline with comfy for your companion/ developed support agents’ chain on n8n/ built context prompting architecture for your assistant/ etc. 

Responsibilities:

• Own the end-to-end product lifecycle with a strong technical focus: discovery, specification, delivery, and iteration.
• Act as a bridge between business and engineering: translate product goals into clear technical requirements and vice versa.
• Define product requirements for AI-powered features (logic, constraints, data dependencies, edge cases).
• Work closely with engineers to shape system architecture, API contracts, data flows, and technical trade-offs.
• Design, run, and interpret A/B tests, including experiments impacting AI behavior, personalization, and monetization.
• Prioritize roadmap, features, and technical debt based on business impact, system limitations, and user value.
   

Requirements:

• 2+ years of experience as a Product Manager in multi-purpose AI-first products (eg. not only conversational module, but also voice/ image generation/ video/ OCR/ etc.).

OR

• Founder of AI-first startup with seed round closed.
• Strong technical background (engineering, computer science, or equivalent hands-on experience).
• Rapid prototyping or scripting skills to validate ideas quickly.
• Hands-on experience in implementation of AI features, at least – API services, self-developed multi-purpose agents, etc.
• Ability to reason about trade-offs between speed, quality, scalability, and technical complexity.
• Excellent ability to align technical and non-technical stakeholders.
   

Nice to Have:

• Experience with AIAI companionship, social discovery, chat, or personalization system.
• Ability to read code and participate in technical discussions (even without being the primary implementer).
• Experience with prompt-based systems, model evaluation, AI quality metrics.
   

What We Offer:

• Real ownership — full responsibility for a core AI product used by millions worldwide.
• Technical impact — shape how AI systems are designed, shipped, and scaled in production.
• Entrepreneurial ecosystem — part of Genesis, with access to resources, funding, and the option to launch your own startup.

On behalf of our client, we are looking for a Senior AI Engineer (GCP / Vertex AI) 

Requirements:

- 5+ years of experience in AI/ML engineering

- Strong hands-on experience with GCP (Vertex AI, BigQuery, Dataflow, Pub/Sub)

- Experience building GenAI / LLM solutions (Gemini, PaLM, etc.)

- Strong experience with RAG pipelines, embeddings, and vector search

- Solid Python skills + experience with ML frameworks (TensorFlow / PyTorch / JAX)

- Experience with cloud-native architectures (Cloud Run, GKE)

- Experience with LangChain / LlamaIndex or similar frameworks

- Understanding of data pipelines, feature engineering, and ML lifecycle

- Experience with CI/CD for ML and model deployment

- Strong communication skills and ability to work with enterprise stakeholders

Company offers:

- Long-term employment with possibilities for professional growth

- Fully remote work

- Reasonably flexible schedule

- 15 days of paid vacation

- Regular performance reviews

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the client:
Our client is an IT company that develops technological solutions and products to help companies reach their full potential and meet the needs of their users. The team comprises over 600 specialists in IT and Digital, with solid expertise in various technology stacks necessary for creating complex solutions.

About the role:
We are seeking an experienced Data Scientist with a passion for large language models (LLMs) and cutting-edge AI research. In this role, you will design and prototype data preparation pipelines, collaborating closely with data engineers to transform your prototypes into scalable production pipelines, design and implement a state-of-the-art evaluation and benchmarking framework to measure and guide model quality, and do end-to-end LLMs training. You will work alongside top AI researchers and engineers, ensuring our models are not only powerful but also aligned with user needs, cultural context, and ethical standards.

Responsibilities:
- Curation of datasets for pre-training, supervised fine-tuning, and alignment
- Research and develop best practices and novel techniques in LLM training and evaluation pipelines.
- Collaborate closely with data engineers, annotators, linguists, and domain experts to scale data processes, define evaluation tasks and collect high-quality feedback.

Requirements:
Education & Experience:
- 3+ years of experience in Data Science or Machine Learning, preferably with a focus on NLP.
- An advanced degree (Master’s or PhD) in Computer Science, Computational Linguistics, Machine Learning, or a related field is highly preferred.
GenAI & NLP Expertise:
- Practical experience with fine-tuning LLMs / VLMs models
- Hands-on experience with modern NLP approaches, including embedding models, semantic search, text classification, sequence tagging (NER), transformers/LLMs, RAGs.
ML & Programming Skills:
- Strong experience with deep learning frameworks such as PyTorch or JAX for building models.
- Ability to write efficient, clean code and debug complex model issues.

Nice-to-have:
Advanced NLP/ML Techniques:
- Applied experience using Reinforcement Learning in NLP / LLM settings
- Prior work on LLM safety, fairness, and bias mitigation.
- Experience generating and curating synthetic datasets for Supervised Fine-Tuning (SFT), including quality control and scaling considerations.
Research & Community:
- Publications in NLP/ML conferences or contributions to open-source NLP projects.
- Active participation in the AI community or demonstrated continuous learning (e.g., Kaggle competitions, research collaborations) indicates a passion for staying at the forefront of the field.
MLOps & Infrastructure:
- Hands-on experience with containerization (Docker) and orchestration (Kubernetes) for ML, as well as ML workflow tools (MLflow, Airflow).
- Experience in working alongside MLOps engineers to streamline the deployment and monitoring of NLP models.
- Experience with cloud platforms (AWS, GCP, or Azure) and big data technologies (Spark, Hadoop, Ray, Dask) for scaling data processing or model training is a plus.
Problem-Solving:
- Innovative mindset with the ability to approach open-ended AI problems creatively.
- Comfort in a fast-paced R&D environment where you can adapt to new challenges, propose solutions, and drive them to implementation

The company offers:
- Office or remote — it’s up to you. You can work from anywhere, and we will arrange your workplace
- Remote onboarding
- We train employees with the opportunity to learn through the company’s library, internal resources, and programs from partners
- Health and life insurance
- Wellbeing program and corporate psychologist
- Reimbursement of expenses for Kyivstar mobile communication

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!

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.

About the role:

SPD Technology is building a centralized AI Development Division (AI Studio) to unite efforts and enhance the revenue stream through AI-inclusive client engagements. The Head of AI Development will own this from zero: winning AI-related deals alongside BizDev, delivering solutions, building a team, and establishing SPD as a credible AI engineering partner.

This is a build-and-ship role. Value is proven through won deals, delivered projects, and satisfied clients.

Work Environment: The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. 

As a qualified expert You will

Pre-sales & Solution Architecture

• Lead technical discovery and solution design for AI opportunities
• Produce solution-grade proposals: architecture, scope, risk assessment
• Present to clients; partner with BizDev on positioning and differentiation
• Build reusable pre-sales assets: reference architectures, case studies, estimation frameworks

AI Studio Delivery

• Stand up and operate the AI Studio as first-choice platform for AI-heavy work
• Deliver across models: full ownership, component delivery, advisory, embedded expertise
• Build reusable delivery frameworks and accelerators
• Manage cross-team resource collaboration during ramp-up

Team Building

• Hire 2–3 engineers in first 6 months, scaling to 5–8 based on demand
• Define team composition balancing pre-sales support with delivery capacity
• Build career paths that attract and retain strong AI engineers

Innovation & Knowledge Leadership

• Lead pragmatic R&D with clear objectives and success criteria
• Contribute to AI community of practice: tech talks, mentoring, knowledge sharing
• Generate external thought leadership: conference talks, case studies, publications

Cross-Functional Integration

• Connect Studio work with Sales, Marketing, and Account Management
• Collaborate with L&D on AI education for broader engineering staff qualification with AI skills
• Operate as organizational asset — proactive engagement, not isolated silo

We’re looking for you if you have

• Production experience designing and delivering AI systems (LLMs, RAG, agentic workflows — not just POCs)
• Non-dogmatic understanding of AI technology boundaries and architectural trade-offs
• Proven client-facing capability: leading discovery, scoping solutions, presenting to executive and technical audiences
• Consultancy mindset: discovery and analysis as value, not just build
• Team leadership experience (3–5+ people); evidence of people growing under their leadership
• Success operating in matrix/federated organizations without direct authority
• Pragmatic R&D skills: bounded research plans, clear success criteria, ROI discipline

Highly desired 

• Data architecture literacy: understanding of data pipelines, ETL/ELT patterns, vector databases, data quality, and governance — sufficient to design end-to-end AI solutions and direct data engineering work
• Broader AI/ML background beyond GenAI (classical ML, deep learning, CV, NLP)
• Understanding of sales cycles, marketing positioning, account management dynamics
• Recognized technical authority that earns respect from senior AI practitioners

Beneficial

• Passion for training and enablement — sees knowledge sharing as contribution
• Marketing and positioning savvy — can produce technical content for market differentiation
• Experience with technology vendor partnerships and co-marketing

Nice to have 

• Startup or 0→1 experience
• Academic/research connections in AI
• Distributed team experience across cultures

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.

Interview steps

1. Pre-Screen (Recruiter) — resume vs. must-haves, motivations, salary alignment
2. HM Interview (VP Delivery) — career arc, leadership philosophy, organizational fit, consultancy mindset
3. Tech Interview – System Design — architecture exercise with trade-off decisions (AI/ML technical panel) & AI/ML Depth — case study of system they built; technical Q&A on GenAI and classical ML
4. BizDev Interview (VP BizDev) — client discovery role-play, pre-sales collaboration model
5. VP / BU Interview (BU Heads) — Pod operating model discussion, collaboration expectations
6. Final HM Interview (VP Delivery) — 90-day alignment, mutual expectations, reference check plan

The role is based in the Kyiv region, and we will expect you to work full-time in the office. We have a shuttle service from the nearest metro station.

What is your Day to Day Mission:

• Design, develop, and optimize real-time object detection and tracking models for aerial video from UAVs (EO/IR cameras)
• Implement inference pipelines optimized for edge hardware (e.g., NVIDIA Jetson, Orin)
• Conduct model training, testing, benchmarking, and validation in real flight environments
• Integrate AI models into onboard systems
• Collaborate with other software and hardware teams to ensure robust end-to-end performance
• Research and apply state-of-the-art deep learning methods in computer vision

What you bring to the team:

• 3+ years of experience in AI/ML, with a strong focus on computer vision
• Proven experience in object detection/tracking using models like YOLO, SSD, or custom CNNs
• Proficiency in Python, C++, PyTorch or TensorFlow
• Experience with real-time video processing and optimization techniques (e.g., TensorRT, ONNX, pruning, quantization)
• Solid understanding of data annotation, augmentation, and training workflows
• Familiarity with embedded/edge AI deployments (e.g., Jetson Xavier, Orin)
• Experience working with aerial/surveillance imagery or geospatial data is a strong plus

• Bachelor’s or Master’s degree in Computer Science, Robotics, or related field

   

 Nice to Have:

• Knowledge of GStreamer, OpenCV, or similar real-time streaming frameworks
• Familiarity with UAVs, drone flight control, or defense technologies

• Understanding of object re-identification or multi-target tracking

   

Why Quantum-Systems:

• We Stand with Ukraine
• We believe in the power of combined efforts: straightforward tech expertise paired with a customer-centric focus.
• We are industry pioneers who are ambitious, bold, and visionary.
• We push limits, think outside the box, and strive for technological excellence to shape the future of aerial data.
• We promise to be your runway for individual and professional growth.

Requirements:
• 6+ years of software development experience, including 5+ years in AI/ML or LLM-focused roles
• Strong Python skills
• Hands-on experience with LibreChat (deployment, customization, integrations) !!!
• Experience with LLMs (OpenAI, Google Gemini, etc.)
• Strong knowledge of RAG architecture, prompt engineering, and agent workflows
• Experience with LangChain, LlamaIndex or similar frameworks
• Experience with Vector DB (pgvector/PostgreSQL) and MongoDB
• Experience with Docker, Kubernetes (GKE), CI/CD
• Experience with Microsoft 365 integrations (Teams, Outlook, SharePoint, Graph API)
• Strong system design and architecture skills
• Good communication skills

Remote | Full-Time | US Eastern Time (ET)

Working hours: aligned with US Eastern Time (ET)

About the Role

We’re looking for a developer who’s excited about the future of AI-driven development.

This role is built around Vibe Coding — a modern approach where you collaborate with AI tools to design, build, and ship applications faster than traditional development allows. Instead of writing everything manually, you guide AI, shape outputs, and focus on delivering real products.

If you enjoy thinking in systems, making smart architectural decisions, and using AI as a true coding partner — this role is for you.

Your Responsibilities

• Design and build production-level AI-powered applications
• Work deeply with AI coding tools and prompt engineering
• Quickly transform client requirements into working prototypes
• Iterate fast and deliver results (not just code)
• Collaborate with modern conversational AI platforms
• Work closely with a fast-paced, talented team
• Support and mentor junior developers

Requirements

• 2+ years of commercial software development experience
• Degree in Computer Science or equivalent practical experience
• Strong understanding of system design and architecture
• Ability to review, debug, and improve AI-generated code
• High level of independence and self-management
• Strong spoken English (working with US & Israel clients)

Nice to Have

• Experience with modern frameworks (React, Vue.js, Next.js)
• Full-stack development background
• Experience with AI tools (Cursor, Claude, GitHub Copilot, etc.)

Work Setup

• Full-time, remote
• Monday–Friday
• 9:00 AM – 6:00 PM (US Eastern Time)
• Must be available during US business hours

What We Offer

• Access to cutting-edge AI tools (Cursor, Claude, n8n, Lovable, etc.)
• Real client projects from day one
• Clear growth path (IC → Senior)
• Udemy courses access
• Young, modern, fast-moving team

Hiring Process

• 1 interview only

How to Apply

Send your CV + expected compensation and tell us:

• What drives you
• Why AI excites you

YozmaTech isn’t just another tech company — we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.
We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.
Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family — you’ll feel right at home with us.

We are now launching our next growth engine — AI-powered, automated, and data-driven.
This role is not about coordination. We are looking for a builder who will own and develop our end-to-end Outreach & GTM Engine.

Key Requirements:
🔹 2+ years of experience in SDR, Growth, RevOps, GTM, or Marketing roles;
🔹 Strong hands-on CRM experience (HubSpot / Monday — customization and workflow building);
🔹 Experience with automation tools (n8n, Zapier, Make, Clay, etc.);
🔹 Experience working with LLM workflows and AI tools (ChatGPT, Claude Code, etc.);
🔹 Builder mindset — able to ship fast;
🔹 High ownership and accountability;
🔹 Strong analytical thinking;
🔹 Clear communication skills;
🔹 Comfortable in a fast-paced scale-up environment;
🔹 Systems thinker, not just a task executor;
🔹 English — Upper-Intermediate or higher;
🔹 Experience in the tech outsourcing / R&D services industry;

Will be plus:
🔹 Experience building GTM systems from 0 → 1;

What you will do:
🔹 Build and optimize outbound and SDR automation systems;
🔹 Architect end-to-end CRM and GTM workflows (HubSpot / Monday);
🔹 Design and deploy AI agents for research, personalization, and qualification;
🔹 Improve funnel conversion rates and pipeline predictability;
🔹 Align GTM insights with Recruiting teams;
🔹 Drive measurable impact: more qualified meetings, lower cost per meeting, predictable pipeline growth;