Remote AI Engineer Jobs in Ukraine (53)

Senior ML & AI Engineer

AI Engineer / AI Agent Developer

You will design, develop, and deploy custom AI agents and autonomous workflows to automate business processes. This involves integrating LLMs with existing systems and taking ownership of the full development lifecycle from concept to production.

Full-stack AI engineer (LATAM) | Full-Time #PAR1

You will own a specific lane of the product, building screens and server code while ensuring data isolation between tenants. Additionally, you will review code generated by AI agents and maintain high standards through rigorous testing and pull request reviews.

Backend AI Engineer

Design and build the operator control plane for an enterprise AgenticOps platform, connecting real-time web interfaces with multi-agent backends. Develop high-performance visualization tools and low-latency streaming pipelines to enable human-in-the-loop control for autonomous systems.

Lead Fullstack AI Engineer

Design and build the operator control plane for an enterprise AgenticOps platform, connecting real-time web interfaces with asynchronous multi-agent backends. Develop high-performance visual interfaces for network topology and implement low-latency streaming pipelines for real-time agent telemetry.

Principal Applied AI Engineer

Lead a high-performing product team to develop and integrate Cephai-powered AI capabilities into the CINC platform. Collaborate with cross-functional leaders to design production-grade systems that solve client problems while maintaining operational reliability.

Senior Applied AI Engineer

Design and develop LLM-powered systems while diagnosing and improving AI performance through rigorous experimentation and evaluation. Provide technical leadership by mentoring engineers and defining architectural standards for production-ready AI applications.

Middle ML & AI Engineer

AI Engineer - Voice & Agentic Systems 29 applicants

You will design, build, and maintain end-to-end voice agents using LLM orchestration, FastAPI services, and real-time telephony pipelines. You are responsible for the entire agent lifecycle, from initial prompting to managing high-concurrency production calls.

Senior Agentic AI Engineer 11 applicants

Design, develop, and deploy autonomous AI agents and multi-agent systems to drive intelligent decision-making and workflow automation. Collaborate with cross-functional teams to architect scalable agentic platforms and implement robust monitoring and safety guardrails.

11090 - AI Engineer Pleno | AI Automation - Sênior

Develop AI agents and automation workflows using LLMs, LangChain, and LangGraph. Implement RAG pipelines and integrate AI solutions with internal systems, APIs, and databases.

ML/AI Engineer

Build, deploy, and serve ML models in production while optimizing inference performance and GPU utilization. Support and extend speech solutions, including ASR integrations and the integration of LLMs and agentic flows.

Senior AI Engineer

You will own and scale the AI layer of core D2C subscription products, managing production LLM features and browser automation end-to-end. This includes designing prompt systems, building evaluation pipelines, and ensuring reliability and cost-efficiency in production.

Generative AI Engineer

You will bridge the gap between functional design and technical implementation by creating low-level designs and prototype code for agentic AI systems. This involves running independent proofs of concept, proving integration patterns, and documenting solutions for a distributed development team.

Senior AI Engineer - ( MCP & LLM Integration) 12 applicants

The role involves leading the development of enterprise Model Context Protocol (MCP) integrations and establishing governed multi-model access. You will be responsible for building reference servers, connecting agentic workflows, and implementing model evaluation and observability frameworks.

AI ENGINEER

The AI Engineer will design, build, and optimize machine learning models and AI solutions to support enterprise automation and intelligent decision-making. They will also collaborate with cloud and engineering teams to deploy models and manage data pipelines.

Senior AI Engineer

Design and maintain production-grade agentic systems, including multi-agent orchestration and RAG pipelines grounded in company data. Implement AI infrastructure on AWS while ensuring compliance, safety, and high-quality output through rigorous evaluation frameworks.

Senior AI Engineer (AWS Bedrock)

The Senior AI Engineer will design and deploy production-grade Generative AI systems, including RAG pipelines and agent-based workflows on AWS. They will collaborate with cross-functional teams to transform POCs into reliable, scalable AI solutions while optimizing for performance and cost.

AI Engineer 12 applicants

You will build tools to evaluate agent behavior, analyze traces, and implement features for automatic self-improvement. Additionally, you will run experiments on Mastra primitives to optimize configuration and performance.

Generative AI Engineer 14 applicants

The role involves developing scalable backend services and integrating Generative AI models, including RAG architectures, into production environments. You will be responsible for writing clean, efficient code, optimizing server performance, and collaborating on technical documentation and code reviews.

AI Engineer

Design, develop, and deploy multi-agent AI systems and RAG pipelines for reasoning and task execution. Collaborate with engineering teams to integrate data sources and implement observability frameworks for model performance monitoring.

Agentic AI Engineer

You will own the end-to-end architecture of AI trading agents, including orchestration, model routing, and the evaluation layer for strategy quality. You will also build data foundations and ensure system observability to maintain high-performance, statistically sound trading strategies.

Senior Generative AI Engineer

Design and develop scalable backend services and production-ready Generative AI solutions using LLMs. Collaborate with cross-functional teams to optimize AI workflows and contribute to software architecture and engineering best practices.

Lead AI Engineer (LLM & Agents)

You will build and own the backend and Agent workflows for LLM-powered products, including multi-turn conversation systems and RAG. Additionally, you will drive continuous evaluation, ensure production reliability, and shape technical product decisions.

AI Engineer

You will build agentic pipelines to automate the production of serial episodes from script to final edit. Additionally, you will transition prototypes into production-ready systems and design a unified knowledge base for human-agent collaboration.

AI Engineer (Typescript)

You will design and manage multi-agent extraction pipelines to process complex financial documents within a production environment. Your role involves integrating ML endpoints, ensuring output validation, and maintaining durable, event-driven workflows.

AI Engineer - Future Opportunities

The AI Engineer will build, integrate, and deploy AI-enabled applications and enterprise solutions under the direction of a Principal AI Architect. Responsibilities include developing production-ready code, managing data integration services, and ensuring the reliability and security of AI workflows.

Full Stack AI Engineer Python

Design, develop, and maintain scalable full-stack web applications using ReactJS and Python/FastAPI. Integrate AI technologies such as LLMs, RAG pipelines, and AI agents into robust backend services.

Senior AI Engineer

Staff AI Engineer

You will define the AI technical strategy and roadmap while serving as the internal authority on applied AI system design. You will build and scale reliable GenAI systems, including RAG and agentic architectures, while partnering with cross-functional teams to drive business impact.