Jobs ML / AI Engineer

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

We’re looking for an experienced ML/NLP engineer to analyze ~700k job records and identify niches and sub-niches.

Scope:

• Generate embeddings from job titles/descriptions
• Cluster jobs into meaningful groups (niches)
• Create sub-clusters (sub-niches)
• Auto-label clusters using LLMs
• Provide clean structured output

Requirements:

• Experience with embeddings (OpenAI or sentence-transformers)
• Clustering (HDBSCAN, KMeans)
• Python (pandas, scikit-learn)
• Experience with large datasets

Nice to have:

• FAISS or vector DB experience
• Previous work with marketplace/job data

Deliverables:

• Script/pipeline
• Clustered dataset
• List of niches with labels

To apply:
Please share a similar project you’ve done and briefly explain your approach.

Quantum Systems next-generation unmanned solutions across air, land, and sea. From advanced aerial drones to underwater and ground platforms, our systems combine cutting-edge hardware with AI-driven software for seamless control and real-time data insights. Trusted by defense, security, and public sector clients worldwide, we redefine mission versatility and performance.

Quantum-Systems is a strong supporter of Ukraine and has it’s local Ukrainian office since 2022.
 

The role is based in Kyiv, and we expect you to work full-time in the office.
 

What is your Day to Day Mission:

• Lead team of ML Engineers
• 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:

• 8+ years of experience in AI/ML, with a strong focus on computer vision
• Strong Leadership experience
• Experience building ML infrastructure and training pipelines
• 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.

We're a product team shipping internal tools and AI-driven systems that create real business impact. We're looking for a builder who can take an ambiguous problem and turn it into a working product — fast. Not in quarters. In weeks.

Your focus Own the full cycle from idea to deployed product: UI, integrations, data layer, auth, basic analytics, monitoring. You make AI-assisted development your default mode — code generation, refactoring, documentation, all of it.

What you'll be doing

• Translate business needs into working prototypes and MVPs using low-code and AI-assisted development
• Work directly with stakeholders to define requirements, user flows, edge cases, and acceptance criteria
• Integrate third-party services: CRM, payments, messaging, webhooks, partner APIs
• Design lightweight but solid MVP architecture that holds up under real usage
• Set up and manage environments (dev/stage/prod), CI/CD basics, secrets, SSL, domains
• Add observability from day one: logs, error tracking, alerts
• Contribute to scoping: timelines, trade-offs, release planning

What success looks like

• Working MVP in production within 2–6 weeks
• Clear artifacts: lightweight PRD, technical docs, deployment and support notes
• Fewer blockers at launch, transparent logs, reproducible builds
• Measurable speed gains from AI tooling

Must-haves

• 2+ years building prototypes or MVPs, or a portfolio with real deployed products
• Comfortable with ambiguity — can shape requirements alongside the business
• Solid with APIs, webhooks, SQL/NoSQL, JWT/OAuth, queues
• Hands-on with deployment: Docker, cloud platforms, env variables, domains
• AI dev tools as a daily habit, not a novelty

Stack you'll work with (You don't need all of it — but you should move fast across most of it)

• AI coding: Cursor, GitHub Copilot, Claude Code, ChatGPT, Codeium
• Low-code/no-code: Retool, Bubble, Webflow, WeWeb, Appsmith, FlutterFlow
• Automation: n8n, Make, Zapier
• Backend: Supabase, Firebase, PocketBase, Hasura
• Deploy: Vercel, Cloudflare Workers/Pages, Render, Railway, Fly.io

Nice to have

• LLM/agent experience: tool calling, RAG, embeddings
• Basic security hygiene: rate limiting, captcha, OWASP basics
• Testing: unit/smoke + e2e for critical paths
• Product mindset: event tracking, metrics, A/B at MVP scale

How we work Short sprints, weekly demos, lightweight but real documentation. Remote, full-time.

📍 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

Project title: Support implementation efforts for the Agent Data Loop project

Must-haves:

• Golang: Strong proficiency and experience is required as a primary language
• API Development: Extensive experience with REST APIs.
• Databases: Basic knowledge and hands-on experience, for example with PostgreSQL or SAP HANA
• AI & LLMs: General knowledge of Large Language Models (LLMs) and AI Agents.

Nice-to-Haves:

• OpenTelemetry experience
• Performance & Load Testing: Familiarity with testing frameworks, for example Locust

Expertise & Seniority Level:

• Senior-Level Independence: Must be able to work autonomously with minimal onboarding.
• Architectural Alignment: Capable of high-level collaboration on system design and project goals without needing tactical intervention on daily tasks.

Language: English
Location: remote from Poland/EU
Duration: potentially until end of year

ABOUT COMPANY

Fast-scaling DTC supplement brand focused on lymphatic drainage. We run a high-output creative team and ship winning ad concepts every week.

THE ROLE

You'll take creative briefs from our Creative Strategist and produce polished, performance-ready video ads — fast. You're expected to use AI tools as part of your workflow and deliver without hand-holding.

WHAT YOU'LL DO
— Receive briefs from the Creative Strategist and execute from start to finish

— Edit and produce 10–20 ad concepts per week

— Handle captions, b-roll, visual overlays, and all post-production

— Prepare every deliverable to IEDC structure (Intro, Engagement, Detail, CTA)

— Implement feedback quickly and stay on schedule

WHAT WE'RE LOOKING FOR

— Experience editing performance video ads for DTC or e-commerce brands

— Comfortable using AI tools to speed up your workflow

— Fast, clean output — quality without slow turnarounds

— Self-directed, reliable, and communicates clearly

COMPENSATION

Starting at $2,500/month for 10–20 concepts per week. As your quality and output improve, salary grows up to $5,000/month. Performance bonuses available on top of base.

This is a full-time role — no freelance or side engagements to start.

OUR VALUES

— Hungry — you want to grow

— Speed — we move fast

— Ownership — no chasing you down

— Results Over Activity — output matters, not effort

Code&Care — is a successful full-stack development company, which provides clients with high-quality development assistance worldwide.

Now our team has a position for AI / Backend Engineer (Python, MLOps, Generative AI).

Requirements:
• 3+ years of professional software engineering experience
• Strong expertise in Python and at least one additional language (Node.js or Java)
• Experience with backend frameworks such as FastAPI, Flask, or Django
• Strong understanding of microservices architecture
• Experience with Docker, Kubernetes, and orchestration tools (GitHub Actions, MLflow)
• Hands-on experience with CI/CD and MLOps pipelines in cloud environments (Azure ML, Databricks, or AWS)
• Experience with ETL processes, API integrations, and model deployment workflows
• Knowledge of distributed systems and big data processing platforms
• Experience with data architecture (data ingestion, transformation, caching, indexing)
• Understanding of Agile methodologies (Scrum, Kanban)
• Upper-Intermediate+ English level

Nice to have:
• Experience with generative AI or multi-agent frameworks (LangChain, CrewAI)
• Familiarity with SAP AI Core and SAP BTP
• Experience with Jira or similar tools (Scrum, SAFe)

What the company offers:
• Constant and interesting work with foreign clients
• Flexible working hours
• 50% cost compensation of sports, English lessons
• Annual paid 30 days vacation and paid sick days
• Medical insurance policy

Responsibilities:
• Design, develop, and deploy AI and generative AI solutions from PoC to production
• Work with data architecture, including ingestion, transformation, caching, and indexing
• Implement and maintain CI/CD and MLOps processes for model lifecycle automation
• Collaborate with product owners, data scientists, and stakeholders to deliver production-ready systems
• Develop and integrate LLM-based and multi-agent solutions
• Ensure reliability, observability, and compliance of AI systems
• Implement secure API design, secrets management, and access control
• Prepare architecture documentation, ADRs, and technical specifications

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

Location: Remote (Poland / EU)
Duration: Contract until end of year (with potential extension)

We are looking for a Senior Backend Engineer (Golang) with a strong interest or experience in AI and Large Language Models (LLMs) to join a high-impact project. You will play a key role in designing, building, and optimizing backend services that integrate modern AI capabilities.

This is a senior-level position requiring autonomy, ownership, and the ability to contribute to architectural decisions while collaborating with cross-functional teams.

Key Responsibilities

• Design, develop, and maintain scalable backend services using Golang
• Build and optimize RESTful APIs for high-performance applications
• Collaborate on system architecture and technical design decisions
• Integrate and work with AI/LLM-based solutions and agents
• Ensure code quality, performance, and reliability

• Work independently with minimal onboarding while aligning with broader project goals

   

  Must-Have Requirements

• Strong proficiency in Golang as a primary programming language
• Extensive experience building and maintaining REST APIs
• Hands-on experience with databases such as PostgreSQL, SAP HANA, or similar
• General understanding of AI concepts, especially Large Language Models (LLMs) and AI agents
• Ability to work independently at a senior level
• Nice-to-Have Skills
• Experience with OpenTelemetry (observability, tracing)

• Familiarity with performance and load testing tools (e.g., Locust)

   

  What We’re Looking For

• A senior engineer who can own features end-to-end
• Someone comfortable with high-level architectural discussions
• Ability to collaborate without needing constant direction
• Strong problem-solving mindset and focus on scalable solutions
• Language Requirements
• Professional proficiency in English
• If you're a backend expert with Golang and an interest in AI/LLMs, this is a great opportunity to work on cutting-edge solutions in a flexible, remote environment.

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 AI CERTIFICATION COMPLETED!

   

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.

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 Agentic AI platform for construction, 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 behavior
• Implement 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