Jobs ML / AI

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!

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

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

Why this role exists:

We are looking for an AI / Generative AI Engineer to join our AI team and contribute to LLM-based systems used in production.

In this role, you will work on Generative AI solutions such as chatbots, AI assistants, MCP-based services (Model Context Protocol servers), and other LLM-powered components. These systems support knowledge-driven workflows, AI-assisted interactions, and AI automation across the platform.

You will work within an existing ML and data platform, contributing to systems that are practical to operate, observable, and reliable. The role is hands-on and engineering-focused, with guidance from senior engineers and clear ownership boundaries.

This is not a research role and not limited to prompt writing. The focus is on building, integrating, and operating GenAI systems as part of real products and internal tools.

What you’ll drive:

• Implement and maintain LLM-based features and services under guidance;
• Build and improve chatbots and conversational AI systems with predictable behavior;
• Contribute to AI-assisted and AI-automated workflows that reduce manual effort;
• Work on RAG pipelines, including document ingestion, embeddings, retrieval, and generation;
• Implement parts of agent-style workflows (tool usage, step orchestration);
• Integrate GenAI components with existing backend services and APIs;
• Help monitor system behavior, performance, and basic quality metrics;
• Participate in debugging issues and supporting systems in production;
• Collaborate with Product, ML Engineering, and Backend teams;

• Follow team standards for code quality, testing, and documentation.

   

What makes you a GR8 fit:

• Solid background in software engineering;
• Hands-on experience with LLM-based systems or applications;
• Practical experience with: Large Language Models, RAG architectures and embedding-based retrieval, Chatbot or conversational system development, tool/function calling or structured LLM outputs;
• Familiarity with context or tool-serving patterns (e.g. MCP or similar concepts);
• Experience contributing to production systems;
• Basic understanding of performance, latency, and cost considerations;
• Experience working with cloud infrastructure (preferably AWS);
• Familiarity with evaluation or monitoring of AI systems;

• Strong engineering fundamentals (clean code, testing, debugging).

   

Tech Stack:

Experience with most tools listed below is expected, and openness to adopting new tools is part of the role.

Languages

• Python
• SQL (basic)

LLMs & GenAI

• Amazon Bedrock
• Third-party LLM APIs (e.g. OpenAI, Anthropic)
• Open-source models (LLaMA, Mistral/Mixtral, Qwen, or similar)
• Hugging Face ecosystem

Frameworks & Orchestration

• LangChain
• LangGraph
• Pydantic
• Langfuse

RAG & Retrieval

• Embeddings
• Vector stores: Qdrant, FAISS, OpenSearch, pgvector

Cloud & Infrastructure (AWS-first)

• AWS (ECS / EKS / Lambda)
• S3, OpenSearch
• API Gateway

Dev & Ops

• Docker
• Git
• CI/CD

📍 Uzbekistan (office) / Remote
💼 Full-time

We are looking for an experienced AI Engineer to work on real-world AI solutions, focusing on LLM-driven systems, automation, and production-ready AI applications.

Responsibilities:

• Develop and deploy AI/ML solutions with a focus on LLM-based systems and automation workflows
• Build and optimize ML pipelines for real-world applications
• Work with large-scale datasets and model training
• Integrate AI solutions into production environments
• Contribute to system design and AI architecture
• Run experiments and evaluate new approaches in applied AI
• Collaborate closely with engineering, product, and business teams

Requirements:

• 4+ years of experience in AI / ML / Data Science
• Strong Python skills
• Hands-on experience with TensorFlow / PyTorch / HuggingFace
• Practical experience with LLMs, NLP, or Generative AI
• Understanding of ML pipelines and MLOps
• Experience deploying models into production
• Solid foundation in algorithms and mathematics

Nice to have:

• Experience building AI products or automation solutions from scratch
• Experience with AI agents
• Familiarity with vector databases and RAG architectures
• Experience integrating AI into business workflows

What’s offered:

• Work on applied AI solutions with real business impact
• Strong engineering and research environment
• Opportunity to influence architecture and technical decisions
• Remote work format (with an option to work from an office in Uzbekistan)
• Participation in international AI projects

We're building AI-powered tools for the trades — HVAC, plumbing, electrical, and more. Our platform connects technicians in the field, customer service managers in the office, and homeowners in real time. We need a prompt engineer who can turn raw, messy, real-world conversations into structured intelligence that actually helps our customers run better businesses.

What you'll work on

• Prompt architecture. Write structured, reusable prompts with dynamic context injection, persona framing, and clean output formatting for real business workflows.
• LLM evaluation. Test and benchmark multiple models (GPT, Claude, Gemini, and others) to find the best fit for each use case in our stack.
• Design prompts that analyze real conversations between technicians, CSMs, and homeowners — surfacing what went wrong, what worked, and how to improve.
• Build prompts for bots that read company SOPs, training docs, and service guides — then generate summaries, best practices, and recommendations.
• Continuous iteration. Evaluate real outputs against business goals, identify failure modes, and refine prompts based on actual field usage.

What we're looking for

• Hands-on experience with AI models (GPT, Claude, Gemini, Mistral, or similar) — not just using them, but understanding why they behave the way they do
• Ability to design prompts for multiple task types: classification, summarization, QA, recommendations, and structured extraction
• Strong written English — you write prompts for a living, so clarity and precision are non-negotiable
• Comfortable working with messy, unstructured inputs — real field conversations aren't clean
• Self-directed and proactive — you spot gaps before being asked and bring solutions, not just problems

Nice to have

• Background in or exposure to the home services / field service industry (HVAC, plumbing, electrical, pest control, etc.)
• Familiarity with ServiceTitan or similar field service management platforms
• Experience with evals, structured benchmarking, or red-teaming AI outputs
• Ability to write basic scripts (Python or JS) to automate prompt testing

We are seeking a Senior AI Engineer to design, build, and scale enterprise-grade AI and Generative AI solutions. As part of a Business AI program, the team is building intelligent agents to streamline core enterprise processes and boost productivity. The goal is to free services professionals from repetitive tasks and accelerate time to value for customers. This role combines strong software engineering fundamentals with hands-on experience deploying LLM-powered systems into secure, production environments. You will drive initiatives from proof-of-concept through scalable enterprise deployment.

Details: 

Schedule: Full time remote 

Location: Europe-based 

Capacity: 100% (40 hours/week)
Language: English (mandatory), German (nice to have)

Responsibilities

AI Solution Development

Design, develop, and deploy enterprise AI and GenAI services

Guide solutions from PoC to secure production rollout

Build and integrate multi-agent AI systems and LLM-based products

Work with SAP data products and underlying data architectures

Manage ingestion, transformation, caching, and indexing workflows

Support distributed systems and big data processing environments

Implement CI/CD pipelines and MLOps best practices

Automate model training, validation, testing, and deployment

Work with Azure ML, Databricks, or AWS environments

Implement secure API design, secrets management, and access control

Contribute to security concept design

Ensure observability, reliability, and compliance in AI deployments

Collaborate with AI Product Owners, Data Scientists, and stakeholders

Create architecture diagrams, ADRs, and technical documentation

Ensure high-quality, well-documented codebases

Required Experience

7+ years of professional software engineering experience

Strong Python expertise (mandatory)

Experience with Node.js or Java (at least one additional language)

Backend framework experience (FastAPI, Flask, or Django)

Microservices architecture experience

Docker and Kubernetes experience

Experience with GitHub Actions, MLFlow, or similar orchestration tools

Hands-on ETL, API integration, and model deployment experience

Experience implementing CI/CD and MLOps in cloud environments

Knowledge of distributed systems and big data platforms

Experience working in Agile frameworks (Scrum, Kanban)

Fluent English and strong problem-solving mindset

Nice to Have

Experience with multi-agent or GenAI frameworks (LangChain, CrewAI)

Familiarity with SAP AI Core and SAP BTP

Experience with Jira (Scrum, SAFe)

Looking for a Senior and Middle LLM engineers (ASAP)

Location: any

Start: ASAP

Duration: long-term (around 6 months)

Engagement: Full-time

English: B2+

Key Responsibilities:

We are looking for someone who can contribute further to our AgenticAI platform for construction. We need an LLM engineer who understands the following:

Design and implement deterministic workflows that ensure consistent, reliable outputs from LLMs

Solve fundamental challenges like making LLMs perform accurate mathematical operations (e.g., ensuring 1+1=2 consistently)

Build robust evaluation frameworks to measure and guarantee deterministic behaviorImplement comprehensive guardrails leveraging structured output and Pydantic models for input/output validation

Understanding of training dynamics, loss functions, and optimization strategies

Experience with parameter-efficient fine-tuning methods (LoRA, QLoRA, etc.)

Proficient in implementing and managing tool calling mechanisms

Deep understanding of Model Context Protocol (MCP) architecture and implementation

Experience in building and deploying LLM-powered applications using FastAPI/Flask and Streamlit for front-end interfaces, solid understanding of REST principles, HTTP Methods, websockets, and API lifecycle management;

Experience with SQL, NoSQL (PostgreSQL, MySQL, MongoDB, Redis), and vector databases (Pinecone, Weaviate, pgvector) for structured data storage and semantic search

Company Overview:
Webxloo, LLC is an international software development company founded in 2005, with headquarters in Florida, USA, and a branch in Ukraine. Our products, including Autoxloo and Simulcast , focus on business automation and real-time systems in the automotive industry. We are expanding and seeking a highly skilled AI & PHP Backend Developer to join our team.
 

Role Overview:
As an AI & PHP Backend Developer at Webxloo, you will play a dual role: designing and implementing AI-based automation solutions while developing and maintaining robust backend systems using PHP. You will collaborate with cross-functional teams to enhance our product offerings, ensure system scalability, and deliver intelligent automation solutions that provide real business value.
 

Key Responsibilities:

• Design, implement, and maintain AI-driven automation workflows to optimize internal and external processes.
• Build intelligent automation using machine learning, LLMs, and low-code/no-code tools such as n8n, Zapier, or Power Automate.
• Integrate AI features into enterprise platforms and software products.
• Develop and maintain backend modules using PHP frameworks such as YII2, Laravel, or Symfony.
• Work with databases including MySQL/MariaDB, MongoDB, Redis, and ensure efficient data management.
• Implement clean, maintainable code following OOP principles, SOLID, DRY, KISS, YAGNI, and PSR standards.
• Collaborate with front-end developers, QA, design, and support teams to deliver high-quality features.
• Monitor, debug, and enhance existing codebases to ensure system reliability, performance, and security.
   

Required Skills & Qualifications:

• 1+ year of experience in AI development, workflow automation, or backend PHP development.
• Solid experience with PHP frameworks (YII2, Laravel, Symfony) and OOP principles.
• Proficiency with MySQL/MariaDB, MongoDB, and caching/message queue systems (Redis, RabbitMQ).
• Experience with RESTful APIs, XML, DOM, CURL, and Regex.
• Familiarity with AI/ML tools, LLMs, and enterprise automation platforms.
• Strong analytical skills and attention to detail.
• English proficiency (intermediate or higher) for technical documentation and collaboration.
• University degree in Computer Science, Engineering, or a related field.
   

Preferred/Advantageous Experience:

• Experience with cloud platforms, Docker, Kubernetes, or serverless architectures.
• Experience in automotive, healthcare, or digital commerce industries.
• Knowledge of frontend frameworks (React, Vue.js) is a plus.
   

What We Offer:

• Competitive salary with regular reviews.
• Standard working schedule with no overtime (9:00 - 18:00, lunch break 13:00 - 14:00).
• Exposure to international projects with various AI and backend development challenges.
• Career growth, skill expansion, and leadership opportunities.
• Collaborative team environment with experienced professionals.
   

Technical Requirements:

• Computer or laptop with at least 16GB of RAM.
• High-speed internet (minimum 20 Mbps).

• Headset and webcam for regular video calls.
   

  Higher consideration would be granted to individuals that have completed AI certification, particularly those with experience in Claude Code (Claude 4.7) and its related tools and ecosystem!

   

If you are interested in this opportunity, we encourage you to apply now.

About the Role We are looking for a Middle AI/ML Engineer to join our AI team and contribute to the development of advanced machine learning models. You will be involved in building and optimizing AI models, ensuring scalability and efficiency in processing multilingual content and computer vision tasks.

Responsibilities

• Develop and optimize machine learning models for computer vision and AI translation.
• Assist in data preprocessing, labeling, and pipeline automation.
• Implement and deploy ML models in production environments.
• Monitor model performance and conduct regular fine-tuning.
• Work closely with senior engineers to improve AI workflows and deployment strategies.
• Document development progress and technical implementations.

Requirements

• 2+ years of experience in Machine Learning and Computer Vision.
• Strong programming skills in Python, PyTorch, and Weights & Biases.
• Familiarity with ML pipeline development and model deployment.
• Basic experience with databases (MongoDB, PostgreSQL) and messaging queues (Kafka).
• Knowledge of AWS cloud infrastructure is a plus.
• Ability to work independently within defined project scopes.

About the Role As a Senior AI/ML Engineer, you will lead the development and optimization of cutting-edge machine learning models, with a focus on computer vision and multilingual AI applications. Your expertise will be crucial in developing scalable, high-performance solutions that deliver instantaneous AI translations and content generation.

Responsibilities

• Lead the design, development, and deployment of end-to-end machine learning pipelines.
• Optimize and fine-tune computer vision models (e.g., OCR, object detection, video analysis, segmentation).
• Manage data labeling, curation, and preprocessing to ensure high-quality datasets.
• Deploy and maintain ML models in a production environment with real-time monitoring.
• Improve system performance through continuous feedback loops and A/B testing.
• Collaborate with software engineers, data scientists, and product teams to align AI innovations with business objectives.
• Mentor and guide junior engineers in best practices for ML development.

Requirements

• 5+ years of experience in Machine Learning and Computer Vision.
• Strong knowledge of Python, PyTorch, Weights & Biases, and Label-Studio.
• Proficiency in ML pipeline development, training and deployment of models.
• Experience working with databases (MongoDB, PostgreSQL, Elasticsearch) and messaging queues (Apache Kafka).
• Expertise in AWS cloud infrastructure and monitoring tools (ELK, Prometheus, Grafana).
• Ability to independently lead projects and make technical decisions.

Our client is a fast-growing, innovation-driven company working at the forefront of robotics and AI. Their mission is to build advanced autonomous robotic systems capable of operating in real-world environments. They combine expertise in machine learning, computer vision, and robotics to solve complex problems in perception, manipulation, and task planning.

Their teams are composed of highly skilled engineers and researchers who thrive on tackling cutting-edge challenges, engaging in deep technical discussions, and building systems that move from research to real-world production. They value independence, technical excellence, and the ability to deliver in fast-paced, experimental environments.

About the Role:

We are seeking a Principal Robotics AI Engineer for our client. In this role, you will lead the technical development of AI-based robotic systems with a strong focus on dexterous manipulation, perception, and task planning.

You will play a key role in designing and improving data pipelines, working with egocentric datasets, and applying modern AI approaches such as VLA, RL, and VLMs to real-world robotics problems. This is a highly impactful role where you will help shape both the AI systems and the underlying data infrastructure that powers them.

Responsibilities:

• Lead the development of AI-driven autonomous robotic systems with a focus on dexterous manipulation and task planning;
• Build and maintain egocentric data pipelines, including data collection, annotation, and quality assurance at scale;
• Apply VLA, reinforcement learning, and VLM-based approaches to manipulation tasks in industrial, retail, and household environments;
• Collaborate with robotics labs to understand data and pipeline requirements and deliver high-quality training datasets;
• Contribute to perception and machine learning systems deployed on physical robots operating in complex real-world environments;
• Help define and guide the technical direction of AI tooling and data infrastructure;
• Drive technical decisions and work independently to deliver production-ready solutions.

Requirements:

• 5+ years of hands-on experience in robotics AI, ideally at companies or labs such as Boston Dynamics, Figure, Tesla Optimus, Apptronik, or similar;
• Strong expertise in perception and ML systems for autonomous robots, including computer vision, 2D/3D scene understanding, object detection, and manipulation;
• Experience with VLA models, reinforcement learning, and VLM-based task planning in real-world deployments;
• Deep understanding of egocentric video data and how manipulation datasets are structured for robot learning;
• Proven ability to lead technical work independently and deliver in production environments;
• Strong problem-solving skills and ability to work in fast-paced, cutting-edge environments;
• PhD or equivalent industry experience in ML, robotics, computer vision, or a related field.

Nice to Have:

• Experience with ROS or similar robotics middleware;
• Background in remote sensing, GIS, or multi-modal data systems;
• Familiarity with synthetic data generation or sim-to-real transfer;
• Experience with DARPA, government research programs, or applied AI research labs.

We Offer:

• Competitive market salary
• Fully remote work
• Convenient and somewhat flexible working hours
• 28 days of paid time off per calendar year
• The chance to work on meaningful, socially valuable products alongside a highly professional, international team
• Interesting technical challenges with opportunities to grow and learn

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 are looking for a creative and technically skilled AI Content Maker to join our team. In this role, you will use generative AI tools to create visual content and help automate content production pipelines. You will work with modern AI technologies to generate images and videos, maintain character consistency, and support both product and marketing needs.

Responsibilities

• Create NSFW visual content (images and video) for the platform using ComfyUI
• Build and maintain ComfyUI generation pipelines
• Work with LoRA models and set up generation workflows
• Maintain high quality and visual consistency of characters
• Generate content in both realistic and anime styles
• Create visual assets for platform content, marketing materials, social media, and landing pages
• Support automation of content generation pipelines
• Integrate and work with AI APIs (LLMs, image and video generation tools)
• Rapidly produce content for campaigns and platform needs
• Collaborate closely with product, marketing, and engineering teams

Requirements

• Strong ComfyUI skills
• Experience with Stable Diffusion and AI video generation models
• Experience working with LoRA models
• Understanding of AI-based content generation pipelines
• Understanding of NSFW content production specifics
• Ability to rapidly prototype and iterate on creative ideas
• Familiarity with open-source AI tools and workflows
• Portfolio or examples of previous work
• Willingness to complete a test assignment

Nice to Have

• Experience integrating LLM APIs
• Experience building automated AI workflows
• Understanding of AI agents or multimodal pipelines
• Knowledge of marketing funnels and content performance

What we offer

• Remote work or comfortable offices in Kyiv (Podil)
• Flexible working hours
• Medical insurance (after probation) and online doctor services
• 20 paid vacation days, unlimited sick leave
• Equipment, learning budget, internal lectures
• Sports activities and gym discounts

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.

Now we are looking for a Software Development Engineer (MLOps) to join us as part of our team.

About the role

As a Senior ML Operations Engineer, you will support teams building and deploying AI-driven solutions, helping them overcome common challenges in the ML development, deployment, and support lifecycle. This role offers autonomy in decision-making, encouraging a proactive approach to solving complex issues and finding optimal solutions for scalable systems.

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 composition

1 Engineering Manager, 4 Senior ML Ops 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

• Serve as a force multiplier for development teams by creating golden paths that remove roadblocks and improve ideation and innovation.
• Collaborate with other engineers, product managers, and internal stakeholders in an Agile environment.
• Provide mentorship, technical guidance, and perform code reviews for team members.
• Design and deliver on projects end-to-end with little to no guidance.
• Provide support to teams building and deploying AI applications by addressing common pain points in the MLDLC.
• Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can be leveraged to improve PitchBook’s AI capabilities.
• Support the vision and values of the company through role modeling and encouraging desired behaviors.
• Participate in various cross-functional company initiatives and projects as requested.
• Contribute to strategic planning in a way that ensures the team is building exceptional products that bring real business value.
• Evaluate frameworks, vendors, and tools that can be used to optimize processes and costs with minimal guidance.

We’re looking for you if you have

• Degree in Computer Science, Information Systems, Machine Learning, or a similar field preferred (or equivalent practical experience).
• 5+ years of hands-on software development experience with Python (Java experience with strong Python proficiency also considered).
• 4+ years of experience designing and building distributed software systems and architectures.
• 3+ years of hands-on experience deploying and operating Machine Learning services in production.
• Experience supporting ML lifecycle operations including post-deployment monitoring and maintenance.
• Experience in cloud-native stack, with a practical understanding of containerization technologies such as Kubernetes and Docker.
• Demonstrated experience with SQL and NoSQL database design and implementation.
• Ability to decompose complex problems into iterative, well-defined solutions.
• Strong problem-solving abilities with focus on building scalable, efficient, and maintainable systems.
• Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions.
• Ability to be a team player who can also work independently.
• Experience working across multiple development teams is a plus.

Desired Skills

• Experience with cloud platforms (AWS, Google Cloud Platform, or Azure).
• Proficiency in GitOps practices and CI/CD pipeline development and management.
• Observability and monitoring: Integration experience with observability tools (Prometheus, Grafana) and building instrumented, production-ready systems.
• LLM Infrastructure: Experience provisioning and managing Large Language Models through managed services (Azure OpenAI, Google Vertex AI, Amazon Bedrock).
• LLM Tooling: Hands-on experience with LLM gateways (LiteLLM) and agentic frameworks (LangGraph, LangSmith, or similar).
• Vector Systems: Practical experience with vector embedding models and vector databases (Pinecone, Weaviate, Milvus, pgvector).
• RAG Systems: Experience building Retrieval-Augmented Generation systems and evaluating both retrieval quality and generation performance.
• Cloud-native experience with services like Amazon SageMaker, Google Vertex AI, or Azure ML
• Familiarity with ML frameworks and tools: PyTorch, TensorFlow, scikit-learn
• Experience with data infrastructure: Redis, Elasticsearch, Apache Kafka.
• ML experiment tracking and model management: Weights & Biases, MLflow, KubeFlow.
• API development with FastAPI or similar frameworks.
• Java programming experience is a plus.

Interview Process

1. Pre-Screening with the recruiter
2. Tech Interview(ML Fundamentals, Software Engineering) + Live Coding (up to 1,5 hours)
3. ML System Design Interview (up to 60 min)
4. Interview with Engineering Manager (60 min)
5. Final Client Interview (60 min)