Jobs ML / AI

Remote from Poland
Contract duration: March 30, 2026 – June 29, 2026
Experience: 4+ years

About the Role
We are looking for a Senior AI Engineer to design and deliver advanced AI-driven solutions. The role involves working with LLM-based systems, building agent architectures, and developing scalable, production-ready applications using modern AI frameworks and Azure services.

Requirements

Must have:

• Strong Python skills with hands-on experience in AI and data engineering
• Practical experience with LangChain and LangGraph
• Experience with Azure AI Services (Azure OpenAI, Cognitive Services)
• Proven background in designing LLM-based and agent-driven solutions
• Experience integrating APIs and working with agent tooling
• Ability to build production-grade AI systems with observability and proper error handling

Nice to have:

• Experience with other AI frameworks or cloud-based AI platforms
• Understanding of MLOps and machine learning lifecycle
• Strong analytical thinking and collaboration skills

Tech Stack:
Python, AI, LLM, LangChain, LangGraph

Responsibilities

• Design, develop, and deploy AI-powered and LLM-based solutions
• Build and maintain AI systems using Python
• Implement solutions with LangChain and LangGraph
• Integrate AI components with APIs and external services
• Develop production-ready systems with logging, monitoring, versioning, and rollback mechanisms
• Utilize Azure AI Services for building scalable solutions
• Collaborate with cross-functional teams to define architecture and best practices
• Ensure high performance, scalability, and security of solutions

Location
Remote (candidates must be based in Poland)

We are an international developer of IT products for medicine and related services. Our products are used by more than 5,000 doctors and more than 1,000 clinics in Europe.

The goal is to attract the largest possible audience to the main projects - clinics and doctors up to 3 million. As well as expanding unique traffic to 10 million per day until 2025. We are looking for AI Engineer / AI Architect with deep knowledge of Fundamental Mathematics, Probability Theory and Bayesian Statistics, Graph Algorithms, Mathematics of Transformers, Hybrid AI Approaches, Uncertainty Assessment.

Must-have skills are:
1. ML and Data Science (Core):
- Expert in NLP & LLM: Deep understanding of Transformers architecture (BERT, RoBERTa, GPT, T5, Llama/Mistral). Experience with Large Language Models (LLM) – not prompt engineering, but fine-tuning (PEFT, LoRA) of open-source models on specific datasets.
- RAG (Retrieval-Augmented Generation): Experience building RAG systems is required. The AI ​​must be able to search for information in different data sources.
- Named Entity Recognition (NER) & Information Extraction: Ability to extract specific entities from unstructured text.
- Tabular Data & Classic ML: Confident use of classical algorithms (XGBoost, CatBoost, LightGBM) for analyzing structured data and building probability scoring models.
- Frameworks: PyTorch (preferred) or TensorFlow/Keras. Proficiency in HuggingFace, Scikit-learn, Pandas, and NumPy.

2. MLOps:
- Experience wrapping models in APIs (FastAPI, Flask) with minimal latency. 

- Docker knowledge and experience working with local GPU instances are required.
- Experience working with vector databases (Pinecone, Milvus, Qdrant, ChromaDB) for quickly searching for similar cases or working with knowledge bases.

- ML Pipelines: Experience building model training and retraining pipelines (Airflow, MLflow, DVC).

3. MedTech and Security:
- Practical working experience with sensitive personal data and GDPR/DSGVO requirements.

- It is important to be able to deploy and optimize local models (Llama 3, Mistral, Mixtral) within a closed company environment to ensure data privacy.
- Skills in quantization and distillation of models to speed up work without significant loss of quality.

Nice-to-have skills:
- Experience working specifically with medical data (EHR, EMR; HL7, FHIR, ICD-10/11 standards). 

- Knowledge of Interpretability/Explainable AI (XAI) methods. The end user should understand why the AI ​​suggested a particular option (SHAP, LIME).

- Experience with multimodal models.

What we offer:
- Paid holiday for 28 working days.
- Transparent incentive system.

Working with us means:
- Unique technological and innovative projects.
- Gaining experience in modern western world practices in security, scalable architecture, etc.
- In-depth knowledge of telemedicine.
- Working with Big data, high load, distributed computing and data buses.
- Socially important projects.
- Opportunity to influence both technology and product solutions.
- Profitability and stability of a large European company.

Microsoft Chatbot Developer (AI & Omnichannel Solutions)
 

Location: Remote
Rate: Up to $30/hour
Project Duration: 4+ months
Employment Type: Full-time
 

Role Overview

We are looking for a Microsoft Chatbot Developer (AI & Omnichannel Solutions) to join the development and evolution of the Satori AI Platform.

In this role, you will build next-generation conversational and agentic AI solutions for enterprise procurement and supplier ecosystems. You will design, develop, and deploy intelligent chatbot solutions using Microsoft technologies, enabling seamless interactions across omnichannel platforms such as Microsoft Teams, web, and enterprise applications.

You will work closely with product, architecture, and integration teams to enhance platform capabilities, optimize solutions, and ensure high performance, security, and user experience.
 

Key Responsibilities

• Design and develop intelligent chatbots using Microsoft Bot Framework SDK and Azure Bot Services
• Build and manage conversational agents in Copilot Studio / Power Virtual Agents
• Implement omnichannel solutions across Microsoft Teams, web, and enterprise platforms
• Integrate chatbot solutions with enterprise systems such as SAP S/4HANA, SAP Ariba, ServiceNow, and other APIs
• Design and implement conversational flows using adaptive dialogs and orchestration frameworks
• Develop agentic AI workflows for enterprise use cases (procurement automation, supplier queries, compliance tracking)
• Implement AI capabilities including:
  • Natural Language Understanding (NLU)
  • Context and memory management
  • Multi-turn and goal-driven conversations
  • Retrieval-Augmented Generation (RAG)
• Work with modern agentic AI frameworks (e.g., Semantic Kernel, LangChain, AutoGen)
• Collaborate with cross-functional teams (architects, UX designers, backend developers)
• Ensure scalability, security, and enterprise-grade quality of chatbot solutions
• Monitor, debug, and optimize chatbot performance using telemetry and analytics tools
   

Required Qualifications

• Strong experience with Microsoft Bot Framework SDK and Azure Bot Services
• Hands-on experience with Copilot Studio / Power Virtual Agents
• Good understanding of omnichannel solutions and integrations
   

Technical Skills

• Strong programming skills in C#, Python, or JavaScript (Node.js)
• Solid understanding of NLP and tools such as LUIS or similar services
• Experience with machine learning concepts and conversational AI design
• Familiarity with agentic AI frameworks and modern AI architectures (preferred)
   

Additional Skills

• Experience integrating with enterprise platforms (SAP, ServiceNow, REST APIs, databases)
• Knowledge of cloud platforms (Azure required, AWS is a plus)
• Strong analytical and problem-solving skills
• Ability to work in a fast-paced, collaborative environment

About the Role

We are looking for an experienced Voice AI Agents Engineer who will be responsible for building, testing, and improving AI voice agents used in our products and internal tools.

This role focuses specifically on the development of Voice AI agents — systems that can understand speech, process user intent, and respond naturally using modern AI models.

You will work closely with the product and engineering teams to design reliable and scalable voice interactions, experiment with new technologies, and continuously improve the performance of our AI agents.

Responsibilities

• Design, build and maintain Voice AI agents
• Develop pipelines for speech-to-text, LLM processing, and text-to-speech
• Test and improve conversation flows and voice interaction quality
• Integrate voice agents with internal systems, APIs, and business tools
• Monitor performance and optimize response quality, latency, and reliability
• Experiment with new AI models and voice technologies
• Work closely with product managers and developers to ship AI-driven features

Requirements

• 1.5+ years of hands-on experience building Voice AI agents
• Strong experience with LLMs and AI agent architectures
• Experience working with speech-to-text and text-to-speech systems
• Solid programming skills (Python or Node.js)
• Experience integrating AI systems with APIs and external services
• Understanding of conversational AI design and dialogue systems
• Ability to independently design and implement AI-driven solutions

Nice to Have

• Experience with telephony or real-time voice systems
• Experience with frameworks for building AI agents
• Experience with prompt engineering and evaluation pipelines
• Experience with cloud platforms (AWS, GCP, or similar)

What we offer
 
 

• Fully remote work format and flexible working hours.
• Competitive salary pegged to USD.
• 24 days of paid vacation (sick leave, national, religious, and company holidays).
• A friendly communication culture and transparent processes.
• Dynamic work environment.
• Opportunities for professional development and career growth.
• No micromanagement — just trust, ownership, and freedom to experiment.

On behalf of our client, we are looking for a Microsoft Chatbot Developer (AI and Omnichannel Solutions) 

Requirements:

- Experience with Microsoft Bot Framework SDK & Azure Bot Services

- Hands-on with Copilot Studio / Power Virtual Agents

- Understanding of Omnichannel solutions (Teams, web, enterprise apps)

- Strong skills in C#, Python, or Node.js

- Knowledge of NLP & conversational AI (LUIS or similar)

- Experience with APIs & integrations (SAP, ServiceNow, etc.)

- Familiarity with Agentic AI frameworks (Semantic Kernel, LangChain) — plus

- Experience with RAG, multi-turn conversations, context handling

- Azure knowledge required (AWS — plus)

Company offers:

- Long-term employment with possibilities for professional growth

- Fully remote work

- Reasonably flexible schedule

- 15 days of paid vacation

- Regular performance reviews

As an AI Engineer, you will be at the forefront of our innovation engine, architecting the next generation of intelligent agentic systems. This isn't just about prompt engineering; it’s about building scalable, production-ready Generative AI ecosystems that solve high-stakes business challenges.

Key Responsibilities

• Architect & Deploy: Design end-to-end GenAI solutions, specialized AI agents, and high-performance RAG pipelines.
• Lead Innovation: Rapidly build and validate Proof of Concepts (PoCs) to showcase the "art of the possible" to stakeholders.
• Consult & Collaborate: Partner with cross-functional teams and interface directly with clients to translate complex needs into tailored AI strategies.
• Research & Evaluate: Stay ahead of the curve by benchmarking emerging models, agentic frameworks, and dev kits.

The Profile

• The Experience: 3+ years of industry-hardened experience in Applied AI or Machine Learning.
• The Tech Stack: Expert-level command of agentic frameworks (LangGraph, Agno, Google ADK) and Vector Databases.
• Cloud Fluency: Deep familiarity with at least one major Hyperscaler (GCP, AWS, or Azure).
• Bonus Points: Proficiency with the Google Cloud AI stack (Vertex AI, Gemini), MLOps (Docker/K8s), and rigorous evaluation frameworks like RAGAs or LangSmith.
• AI agent building: know-how

Senior AI / LLM Engineer (GenAI Systems)

On-site Only (Preferred).
 

We’re building a next-gen AI infrastructure platform focused on LLMs, intelligent matching, and scalable systems.
 

Looking for a Senior AI Engineer to design and ship real-world AI systems across models, infrastructure, and production.
 

What You’ll Work On

• Build & scale end-to-end AI pipelines
• Develop and deploy LLM-powered systems
• Optimize inference performance
• Design RAG systems, agent workflows, structured outputs
• Improve prompting, NLP, and data quality
 

Tech You’ll Likely Use

(Depth > breadth)
• Core engineering: CI/CD, version control, containers, APIs, databases
• Python + ML frameworks: PyTorch / TensorFlow / Keras
• LLMs / GenAI: RAG, LangChain, vector systems
• Function calling & structured outputs
 

What We’re Looking For

• Production experience with LLM / ML systems
• Strong understanding of transformers & modern AI
• Able to work across model + system + product layers
• Bias toward shipping real systems (not research only)
 

Nice to Have (Not Required)

• NLP / semantic systems experience
• NER, classification, extraction, structured data pipelines
• MLOps & inference: CUDA, vLLM, Triton, DeepSpeed, FSDP
• Fine-tuning: SFT, DPO, dataset curation
• Advanced degree (PhD)
 

What We Want

• Systems thinker (infra + model + product)
• Ships fast, builds real systems
• Comfortable in high-growth, ambiguous environments

What You’ll Get

• On-site team with strong engineering culture
• Free on-site parking
• Daily  lunches, snacks, drinks
• Performance-based bonuses
• Work on real, high-impact U.S. project
• Clear growth path as the product and team scale

Join Innoneers – Shaping the Future of Software Engineering!
 

At Innoneers, we don’t just build software; we engineer innovation. We are a dynamic software development company dedicated to transforming complex business challenges into seamless digital experiences. Specializing in Web, Mobile, and Cloud solutions, we pride ourselves on our technical agility and "Engineering Excellence" mindset.
 

As we scale our operations, we are looking for a passionate Embedded ML Engineer to join our core team. If you thrive in an environment where clean code meets cutting-edge technology (Node.js, React, AWS, Python) and want to make a tangible impact on global projects in E-commerce, Fintech, and Logistics, Innoneers is the place for you.
 

WE WILL TRUST YOU WITH:

• Lead the design and implementation of state-of-the-art machine learning algorithms

  tailored for both real-world hardware and software applications;

• Build and optimize embedded ML models using PyTorch and NumPy, bringing them

  to life in embedded systems with C and Python;

• Analyze, benchmark, and fine-tune embedded ML pipelines to achieve latency,

  memory efficiency, and power optimization;

• Pioneer explainable AI techniques that provide actionable insights into model

  behavior and drive trustworthy solutions for our customers and end-users;

• Expand our ML toolkit by researching and integrating the latest methodologies,

  staying at the forefront of AI innovation;

• Establish scalable, reproducible workflows that set a standard for excellence in

  embedded ML development;

• Partner with a multidisciplinary team of hardware engineers, data scientists, and

  software developers to deliver integrated software and hardware application use

  cases;

• Provide critical algorithm insights to hardware development teams to facilitate

  seamless integration and performance optimization;

• Support the integration of ML models with hardware AI accelerators and

  neuromorphic processors;

• Collaborate with internal teams and clients to identify and design requirements for

  complex customer use cases;

• Translate customer needs into technical specifications and actionable project plans;
• Present findings and insights to stakeholders to inform decision-making and strategy;

• Mentor junior engineers and interns, fostering a culture of continuous learning and

  technical excellence within the team;

• Contribute to the creation of intellectual property, including patents and proprietary

  know-how.

   

YOUR EXPERIENCE INCLUDES:

• A BSc or MSc in a subject related to ML/Data Science/Statistics or relevant industry

  experience;

• Solid understanding of architecture specifications, and the ability to design and

  develop industry-standard embedded software and methodologies;

• 5+ years of hands-on experience in the development and deployment of AI solutions;
• Previous experience in Embedded or TinyML AI application development;

• Proficiency in C/C++ for logical programming for embedded software development

  and Python for ML model development;

• Strong experience with TensorFlow/PyTorch and Scikit-learn;
• Familiarity with hardware AI accelerator architectures and neuromorphic processors;
• Experience working with time series data/sensor data/real-time data processing;

• Proficiency in using version control systems.

   

WHAT YOU NEED TO SUCCEED:

• Strong analytical and problem-solving abilities with great attention to detail;

• Excellent communication skills for effective collaboration with cross-functional team

  and stakeholders;

• A proactive and self-motivated attitude toward learning and innovation.

   

WE OFFER YOU:

• A dynamic working environment around a fearless engineering culture;
• Ambitious teams with the freedom to innovate;

• A Flexible working environment (work from home policy, flexible working hours,

  advantageous holidays scheme ..);

• An inclusive company culture that embraces communication, diversity, and support

  around holistic and personal development.

Our customer is a leading provider of product lifecycle management and digital thread solutions. Its technology enables the rapid delivery of flexible solutions built on a powerful digital thread backbone and a low-code development platform. You will be involved in building full scale AI-agentic platform from scratch.

Requirements:

• Strong proficiency in Python, experience with web frameworks like FastAPI or similar
• Understanding of the AI application development lifecycle
• Experience with rapid UI prototyping using Streamlit, Gradio, or similar frameworks
• Familiarity with major LLM platforms and APIs (OpenAI, Anthropic, Amazon Bedrock, Gemini) and related frameworks (LangGraph, LlamaIndex, Strands Agents, etc.)
• Knowledge of advanced AI integration patterns (e.g., RAG, Agents)
• Experience deploying AI solutions at scale, with considerations for performance, cost-efficiency, and maintainability
• Proven ability to evaluate generative AI quality using metrics such as retrieval and classification scores, as well as LLM-based evaluation methods
• Proven experience in AI engineering and delivering ML-based solutions
• Strong problem-solving skills and attention to detail
• Excellent communication, collaboration, and interpersonal skills
• At least Upper Intermediate English level

Responsibilities:

• Design, implement, and maintain end-to-end AI applications, including chatbots, Q&A platforms, and agent workflows
• Collaborate directly with clients to understand their needs, identify opportunities, and recommend LLM-driven solutions
• Develop and manage robust data pipelines, prompt strategies, and datasets to ensure effective and accurate AI models (Will be +)
• Evaluate and refine AI system performance, ensuring outputs are accurate, secure, scalable, and compliant with industry regulations (Will be +)
• Conduct research and rapid prototyping to validate technical feasibility and demonstrate business value of AI solutions
• Stay current with evolving LLM technologies, frameworks, and methodologies to continuously improve solutions and client outcomes

What we offer:

• Annual paid vacation of 18 working days.
• Extra vacation days for long-lasting cooperation.
• Annual paid sick leave of 10 days.
• Maternity/Paternity leave.
• The opportunity for sabbatical leave.
• Marriage and Parenthood Package.
• Compensation for sports activities or health insurance covering (up to 250$ per year) — after the trial period.
• Career development plan.
• English and Spanish classes.
• Paying taxes and managing PE (Private Entrepreneur).
• Technical equipment.
• Internal Referral program.
• Opportunity to take part in company volunteering activities.
• Sombra is a “Friendly to Veterans” award-holder.

In this role, you will be a key contributor to the development and evolution of the Satori AI Platform, building next-generation conversational and agentic AI solutions for enterprise procurement and supplier ecosystems.

You will design, develop, and deploy intelligent chatbot solutions using Microsoft technologies, enabling seamless interactions across omnichannel platforms such as Microsoft Teams, web, and enterprise applications. The role involves leveraging NLP, machine learning, and agentic AI frameworks to create context-aware, scalable, and business-driven conversational experiences.

You will also collaborate closely with product, architecture, and integration teams to enhance platform capabilities, optimize existing solutions, and ensure high performance, security, and user experience.

Key Responsibilities
• Design and develop intelligent chatbots for the Satori AI Platform using Microsoft Bot Framework SDK and Azure Bot Services
• Build and manage conversational agents in Copilot Studio / Power Virtual Agents (Agents in Portal)
• Implement Omnichannel solutions across Microsoft Teams, web, and other enterprise channels
• Integrate chatbot solutions with enterprise systems such as SAP S/4HANA, SAP Ariba, ServiceNow, and other APIs
• Design and implement conversational flows using adaptive dialogs and orchestration frameworks
• Develop agentic AI workflows for enterprise use cases such as procurement automation, supplier queries, and compliance tracking
AI Capabilities
Natural Language Understanding (NLU)
Context and memory management
Multi-turn and goal-driven conversations
Retrieval-Augmented Generation (RAG)
• Work with modern Agentic AI frameworks (e.g., Semantic Kernel, LangChain, AutoGen)
• Collaborate with cross-functional teams including architects, UX designers, and backend developers
• Ensure chatbot solutions are scalable, secure, and enterprise-grade
• Monitor, debug, and continuously optimize chatbot performance using telemetry and analytics tools

Qualifications
• Strong experience in chatbot development using Microsoft Bot Framework SDK and Azure Bot Services
• Hands-on experience with Copilot Studio / Power Virtual Agents (Agents in Portal)
• Good understanding of Omnichannel solutions and integrations

Technical Skills
• Strong programming skills in C#, Python, or JavaScript (Node.js)
• Solid understanding of Natural Language Processing (NLP) and tools such as LUIS or equivalent services
• Experience with machine learning concepts and conversational AI design
• Exposure to Agentic AI frameworks and modern AI architectures (preferred)


Additional Skills
• Experience integrating with enterprise platforms (SAP, - ServiceNow, REST APIs, databases)
• Knowledge of cloud platforms (Azure required; AWS exposure is a plus)
• Strong problem-solving and analytical thinking
• Ability to work in a collaborative, fast-paced environment

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

The client is one of the largest global independent private equity fund administrators, administering over $300 billion of private capital on behalf of its clients with offices in New York, San Francisco, Boston, Stamford, Dallas, and Luxembourg. They offer private fund sponsors a best-in-class combination of people, process, and technology, enabling fund sponsors to most effectively manage their operational infrastructure, financial reporting, and investor communications.

The client represents the most experienced and longest-tenured team in the private equity fund administration industry, with broad expertise across buyout, funds of funds, real estate, energy, infrastructure, credit, co-investment, hybrid funds, feeder funds, venture capital, retail, and managed accounts.

The project aims to provide well-prepared and formatted analytic data for the customer.

Responsibilities: 

Own the architecture and delivery of LLM-powered chatbot solution for enterprise financial platform. Responsible for orchestration logic, prompt engineering strategy, model governance and technical leadership across AI components.

• Define LLM orchestration architecture (single-agent pattern)
• Design prompt engineering strategy and system prompting
• Define model behavior guardrails and safety controls
• Lead golden dataset validation strategy
• Own AI risk mitigation (hallucination control, determinism limits)
• Collaborate with BE/FE/DevOps on integration
• Technical leadership & code review for AI components

Requirements: 

• 5+ years in AI/ML engineering
• Strong hands-on with LLM APIs Azure AI Foundry
• Prompt engineering in production systems
• Experience with RAG / structured API orchestration
• Understanding of AI governance & enterprise compliance
• Upper-Intermediate or higher level of English

What is in for You: 

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

EXITEK team is looking for a Machine Learning Engineer. We're expanding our development team and looking for a passionate, experienced, self-organised candidate to work on our BeautyUp app (https://apps.apple.com/us/app/id1671843069).

Responsibilities:

• Design, develop, and optimize state-of-the-art computer vision pipelines, algorithms and models;
• Conceive and experiment with innovative features and functionalities in the realm of photo editing and enhancement;
• Collaborate with cross-functional teams to integrate machine learning models into production systems and pipelines.

Requirements:

• Proficiency in Python and PyTorch;
• Experience in Computer Vision (GANs, SD, etc.) is a must;
• Deep understanding of the current state of the art in machine learning and computer vision;
• Robust communication skills, complemented by the ability to thrive in a collaborative team environment.

We are building the next generation of AI Agentic Marketing Solutions specifically for the Game Development industry. We don’t just build simple chatbots; we build autonomous agents that plan, execute, and optimize User Acquisition (UA) and marketing campaigns for gaming studios.

We already have our technical leadership in place. Now, we are looking for a highly autonomous Senior Engineer who loves "getting their hands dirty" with complex agentic logic and scaling our AI platform.

The Role: Builder First

This position is for those who are passionate about coding and want to remain in a technical, individual contributor role. We need a "crafter" who enjoys diving into agent architectures, optimizing RAG pipelines, and writing high-performance code without the distraction of people management or "ivory tower" meetings.

Our Stack: Python (FastAPI, AsyncIO), LangChain / LangGraph, Redis, PostgreSQL, AWS.

Key Responsibilities

• Develop AI Agents: Design and implement complex, stateful workflows using LangGraph.
• Hands-on Engineering: Serve as a primary contributor to the core Python codebase. We expect daily commits and rapid iteration.
• Production-Grade AI: Work on agent reliability, mitigate hallucinations, manage agent memory systems, and build robust evaluation loops.
• Integrations: Connect AI agents with gaming metrics, store APIs (App Store/Google Play), and ad platform dashboards.
• Performance Tuning: Optimize LLM usage for latency and cost-efficiency.

Requirements

• Python Mastery: 5+ years of professional experience in Python. Deep expertise in AsyncIO, Pydantic, and FastAPI.
• AI/LLM Expertise: Proven experience with LangChain or LangGraph (essential). You understand the transition from simple prompts to complex, autonomous agentic reasoning.
• Solid Engineering Foundation: Strong knowledge of architectural patterns, event-driven systems (NATS/Kafka), and Vector Databases (Pinecone, Weaviate, etc.).
• Startup DNA: You prefer "shipping today" over "perfecting tomorrow." You thrive in a fast-paced environment where speed is a core feature.
• GameDev Interest: A genuine interest in the gaming industry and its KPIs (LTV, ROAS, Retention).

What We Offer

• Focus on Code: Minimal bureaucracy. Your time is spent solving hard technical problems, not in management meetings.
• High Impact: Your code directly defines the "intelligence" of our marketing agents.
• Elite Team: Work alongside a Technical Lead and other senior experts who value excellence and relentless improvement.
• High Reward for High Performance: Competitive salary + Advanced Bonus System (We reward those who build the business with us).
• A professional team that has your back. We work hard, but we support each other 100%.
• Medical Insurance in Ukraine and Multisport program in Poland.
• Offices in Ukraine (Kyiv, Kharkiv) and Poland (Wroclaw) or Remote.
• All necessary equipment and workstation space.
• Legal & Accounting services.
• English classes and Education reimbursement.
• Incredible corporate parties and other activities (when we aren't saving the world).

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

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

Responsibilities:

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

Requirements:
Must-have:

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

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

Nice to have:

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

Backend AI Engineer

[Freelance, Full-time, Remote]

SNEAK PEEK

⇨ Location: Remote, GMT+0/+4

⇨ Interview process: HR Interview ⇨ Technical interview ⇨ Take-home challenge ⇨ Presentation of home challenge 

WHO ARE WE? 

At Rounds, we believe in harnessing the power of cutting-edge technology to drive business success. Our transformative, machine-learning technology identifies and optimizes mobile assets, while our team of experts, with their unparalleled human capital and business acumen, provides the strategic direction and support to turn mobile assets into profitable businesses. Together, we are revolutionizing the mobile industry. You can find out more info about us here: www.rounds.com.

THE ROLE

We’re looking for a passionate AI engineer to join our dynamic AI Innovation Team, which is the driving force behind technological advancement in our company. Here, you will use cutting-edge AI technologies to boost productivity and make extraordinary ideas a reality.

We're excited to meet someone who is AI-obsessed, has a strong sense of product ownership, is ready to take initiative and who is full of creative ideas. If this sounds like you, we want you to join our team!

Hiring manager: Alik Hochner - CTO, Ori Nahum - AI Innovation Team Lead 

KEY RESPONSIBILITIES

• Develop and maintain high-quality AI solutions for both internal teams and external users.
• Architect sophisticated AI agents, including multi-agent systems.
• Design and implement evaluation frameworks to assess AI performance, accuracy, and reliability.
• Collaborate across diverse teams to boost developer productivity.
• Continuously explore the evolving AI landscape and identify impactful tools for company growth.
• Shape the company’s best practices and guidelines for AI usage.

WHAT ARE WE LOOKING FOR?

Must-have:

• 5+ years experience in software development (preferably in Python or TypeScript).
• Skilled in prompt engineering and have a strong understanding of how LLMs work internally.
• Proven track record in developing AI agents from scratch and implementing effective AI solutions for businesses.
• Basic DevOps proficiency (CI/CD, Cloud).
• Quick learner who adapts effortlessly to new tools and approaches.
• Passionate and knowledgeable about current AI trends and best practices.
• Excellent English communication skills.

HOW DO WE WORK?

We are a distributed team of more than 150 people, all working remotely and communicating partially synchronously (we usually overlap with our teams for 5 hours daily and are free to work on some of the tasks whenever it suits us best). We value open communication, proactivity and work/life balance and we measure our freelancers on performance, rather than on the time spent on the job.

WHAT’S IN IT FOR YOU? 

• 100% remote work model
• Flexible full-time working hours 

INTERESTED?

Our recruitment process consists of the following steps: 

• HR interview with the recruitment manager: 45 min
• Technical interview with the AI Engineer Tech Lead: 1 hour
• Take-home challenge: ~ 4 hours of work
• Final Interview and Take-home challenge presentation with CTO and AI Engineer Tech Lead: 1 hour