Jobs ML / AI

We're looking for a (Senior) AI Engineer to join an AI-first consultancy and AI-engineering platform that partners with leading European companies and investors. You'll design, build, and optimize the scalable AI platforms, backend services, and engineering tooling behind their enterprise AI solutions. Your work will speed up delivery for client teams and turn GenAI and ML prototypes into reliable production systems.

Role at a glance

• Location: remote in EU
• Employment: Full-time, permanent
• Seniority: Mid to Senior
• Experience: 3-6 years
• Core stack: Python, PyTorch, LangChain, vector databases, LLMs, Docker, Kubernetes, cloud, APIs

What you'll do

• Build and deploy GenAI and ML solutions into production for enterprise clients
• Own backend services and deployment pipelines for AI platforms
• Scale and manage AI/ML services with Docker and Kubernetes
• Create reusable frameworks, components, and APIs that speed up implementation for other teams
• Work with LLMs, vector databases, and MLOps practices

What you bring

• 5 years of professional experience in AI engineering or software development
• Degree in Computer Science, AI, Data Science, or a related field
• Strong Python skills
• Hands-on experience with ML/GenAI tooling (PyTorch, LangChain, or vector databases)
• Experience with cloud platforms and containerization (Docker, Kubernetes)
• Professional fluency in English

Nice to have

• German or another local language
• Experience building reusable AI frameworks or APIs for enterprise implementations

We are looking for a Senior AI/ML Engineer to design, develop, and enhance AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role, you will take ownership of developing production-ready machine learning and LLM-based solutions, from understanding business needs and exploring data to designing technical approaches, implementing solutions, and integrating them into Foundry workflows. You will work closely with data engineers, business analysts, and domain experts, contribute to technical decisions, and help establish best practices for building scalable and reliable AI solutions.

Key Responsibilities:

• Design and develop AI/ML solutions for predictive analytics, classification, forecasting, automation, and AI-assisted workflows within Palantir Foundry, leveraging Python, Ontology objects, pipelines, and workflows.
• Design, implement, evaluate, and optimize LLM/NLP and RAG solutions using Palantir AIP, including prompt engineering, embeddings, retrieval strategies, vector search, and text processing.
• Own the end-to-end lifecycle of AI solutions, from experimentation and model development to deployment, monitoring, and continuous improvement.
• Collaborate with data engineers to understand data sources, ensure data quality, and design efficient and scalable data processing approaches.
• Integrate AI solutions into production workflows and optimize them for accuracy, reliability, latency, scalability, and cost-efficiency.
• Contribute to technical architecture and design decisions, including model, framework, and tool selection; proactively identify technical risks, improvement opportunities and proactively propose solutions.
• Work with business and domain stakeholders to translate business needs into practical, scalable, and production-ready AI solutions, clearly communicating technical decisions and model limitations.
• Identify technical risks, limitations, and opportunities for improvement and proactively propose solutions.

Requirements:

• 4+ years of experience in machine learning, AI engineering, applied data science, or related fields.
• Strong Python skills and hands-on experience with ML frameworks such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Strong practical experience with LLMs, NLP, or GenAI applications, including prompt engineering, embeddings, text processing, summarization, or similar use cases.
• Solid hands-on experience designing and implementing RAG architectures, vector databases, and retrieval strategies.
• Strong understanding of the ML lifecycle, including data preparation, feature engineering, model development, evaluation, deployment, and monitoring.
• Experience working with both structured and unstructured data, including tabular data, time series, text, and documents.
• Ability to independently analyze ambiguous problems, propose technical approaches, and drive solutions from concept to implementation.
• Strong communication skills, with the ability to explain AI concepts, technical decisions, and model behavior to non-technical stakeholders.
• Upper-Intermediate English or higher.

Nice to Have:

• Proficiency in Foundry Ontology, Object Builders, and Code Repositories.
• Experience in big pharma or highly regulated industries.
• Knowledge of data privacy, compliance, and security best practices in AI applications.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

We’re looking for a Principal Software Engineer to help build a platform that brings AI models into production. The product enables engineering teams to deploy and operate LLMs at scale, handling real-world traffic across multi-GPU and multi-node environments.

You’ll work at the intersection of Python development and AI infrastructure, making inference services faster, more efficient, and reliable in production. This is a hands-on role with ownership across development, deployment, and operations.
 

What you’ll do:

• Build Python services and tools for deploying and operating AI workloads.
• Scale and optimize LLM inference across multiple GPUs and compute nodes.
• Configure and tune model-serving frameworks such as vLLM.
• Improve inference performance, GPU memory usage, latency, and throughput.
• Automate infrastructure, deployment, and configuration workflows.
• Strengthen monitoring, testing, and production reliability.
• Troubleshoot complex issues across software and infrastructure.

What we’re looking for:

• Strong Python development experience.
• Hands-on experience running LLM inference services in production.
• Experience with multi-GPU and multi-node model deployment.
• Practical knowledge of vLLM or similar serving frameworks.
• Understanding of GPU memory constraints and inference optimization techniques.
• Experience with infrastructure automation and Infrastructure as Code.
• Strong Linux troubleshooting and production operations skills.

Nice to have: Distributed systems, Kubernetes, cloud infrastructure, networking, or experience building AI platforms and developer tools.

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

What is your Day to Day Mission:

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

What you bring to the team:

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

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

   

 Nice to Have:

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

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

   

Why Quantum-Systems:

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

​About the Project

DevBrother is partnering with a European telecommunications provider to build a highly secure, fully on-premise AI ecosystem from the ground up. We are looking for a hands-on Senior AI Platform & Infrastructure Engineer to take ownership of the hardware, models, and server infrastructure. You will act as the technical lead for the AI deployment, working remotely to configure systems with occasional travel to Croatia for bare-metal hardware setup and localized performance tuning.

​Key Responsibilities

• ​Infrastructure & Hardware: Lead the setup and configuration of multi-GPU servers, including BIOS, firmware, and NVIDIA driver optimization during on-site visits or via secure remote access.
• ​Local LLM Deployment: Serve and orchestrate open-source models using vLLM, SGLang, or similar frameworks. Manage quantized models, implement OpenAI-compatible endpoints, and configure routing/fallbacks between models.
• ​Search & Speech Ecosystem: Deploy embeddings, rerankers, and hybrid search solutions. Set up Open WebUI (or similar) with robust citation capabilities, alongside local Speech-to-Text (STT) and Text-to-Speech (TTS) deployments.
• ​Security & System Administration: Administer Ubuntu LTS environments with strict security protocols. Manage encrypted storage, SSO with MFA, TLS, and audit logging in a fully air-gapped/blocked internet environment.
• ​Operations & Monitoring: Build and maintain operational pipelines, including monitoring, alerting, and automated backups with tested restoration procedures.
• ​Dashboards & Web: Configure web applications integrated with SSO roles, time-series aggregations, and email alerts.
• ​Documentation: Write and maintain comprehensive runbooks, architecture diagrams, and security protocols.

​

Requirements

• ​5+ years of senior-level experience in ML infrastructure, bare-metal server deployment, or systems engineering.
• ​Upper-Intermediate (B2) or Advanced English for direct communication with stakeholders and technical documentation.
• ​Deep expertise in serving local LLMs (vLLM, SGLang) and building RAG pipelines.
• ​Strong background in Linux (Ubuntu LTS) administration, network security, and air-gapped environment configurations.
• ​Leadership capabilities with the ability to drive architectural decisions and coordinate integration with the data engineering team.
• ​Strong Plus: Domain experience in Telecom/VoIP to better understand the business context and use cases of the deployed ecosystem.
• ​Willingness to occasionally travel to Croatia for on-site hardware setup and infrastructure deployments.

We OFFER:

• ​A fast-paced, highly professional, international team environment with a flat structure and rapid decision-making.
• ​Competitive compensation packages commensurate with your background and product portfolio.
• ​Flexible, remote-first workflow optimized for seamless global alignment.
• Medical Insurance in Ukraine and a Multisport program in Poland.
• Offices in Ukraine (Kyiv, Kharkiv) and Poland (Wroclaw) or Remote.
• Paid vacation, sick leave, and official holidays.
• Legal & Accounting services.
• The company provides all necessary equipment.
• English classes and Education reimbursement.

Our client is looking for a Conversational AI Specialist.

Role Overview:We are looking for a Conversational AI Specialist to train and improve our AI agent, maintain its Knowledge Base, monitor conversation quality, and ensure responses remain accurate and up to date. You will also coordinate with our technical vendor to resolve issues and support testing and monitoring of AI updates.Key Responsibilities:

• Train and continuously improve the AI agent's responses through structured content and configuration;
• Maintain and update Knowledge Base content to keep the AI agent's answers accurate and current;
• Monitor live chat conversations to identify inaccurate or unclear AI responses and flag/fix them;
• Update AI configurations when promotions, bonuses, or policies change;
• Coordinate with our technical vendor to report and track issues, ensuring fixes are tested before going live;
• Support monitoring after updates to confirm the AI agent is working correctly for users.

Required Skills & Experience:

• To be fluent in Portuguese and English, both written and spoken;
• Experience with AI chatbot or virtual assistant platforms (e.g., Google Dialogflow, or similar conversational AI tools) is preferred;
• Strong attention to detail and a structured, analytical mindset for identifying and resolving inconsistencies in AI responses;
• Comfortable working with basic structured data formats (e.g., reading simple JSON-like data) — full training will be provided;
• Experience using project management or ticketing tools (e.g., Jira, Trello, Asana, or similar) is a plus;
• Strong written communication skills, with the ability to document issues clearly and coordinate with technical teams.

Will be a plus:

• Prior experience in iGaming, customer support, or live chat operations is a plus;
• Prior experience in content writing, knowledge base management, or FAQ documentation is a plus;
• Curiosity about AI/chatbot technology and willingness to learn new tools.

The company guarantees you the following benefits:

• A positive workplace atmosphere that creates a culture of collaboration and support, making it a place you'll love working in;
• Competitive compensation and regular career development reviews;
• Flexible working hours and remote working options, you'll enjoy the freedom that the company provides;
• A generous vacation and sick leave policy, allowing you to take time off and enjoy a work-life balance;
• Financial assistance for professional development, helping you stay ahead of the curve and love your career path;
• Educational Allowances that give you the opportunity to expand your knowledge and experience;
• You'll have a monthly allowance for personal activities, giving you the opportunity to pursue your interests and hobbies outside of work;
• A comprehensive health insurance plan, depending on your current location;
• Referral program with financial rewards for bringing top talent to the company;
• Engaging in team-building activities and corporate parties.

Interview process:

• HR Interview with the Recruiter;
• A 1-hour technical inetrview;
• A 1-hour final interview with the team;
• Final decision.

If you find this opportunity right for you, don't hesitate to apply or get in touch with us if you have any questions!

Job Description:

• Bachelor’s or master’s degree in computer science, Computer Engineering, Machine Learning, or a related field, with 5+ years of overall industry experience;
• Strong computer science fundamentals; able to design and implement efficient algorithms with ease;
• 1+ years of hands-on experience with agentic AI and/or LLM-based agents or applications;
• Proven experience designing and building middleware platforms, REST APIs, and distributed systems at scale;
• Advanced proficiency JavaScript and/or Python, with deep familiarity with AI/ML libraries (PyTorch, Transformers, LangChain, etc.);
• Solid understanding of microservices architecture, message queues (Kafka, Pub/Sub etc), and cloud-native development (AWS/GCP);
• Experience working with vector databases and retrieval-augmented generation (RAG) pipelines;
• Demonstrated success building and deploying agentic AI use cases in production, such as sales automation, operations agents, or analytics bots;

Job Responsibilities:

• Build intelligent agents that plan, reason, and take actions using LLMs (GPT, Gemini, Claude, LLaMA, etc.);
• Implement RAG pipelines, long-term memory, action orchestration, and multi-agent collaboration;
• Translate business requirements into autonomous workflows and smart features that generate business value;
• Apply advanced prompt engineering, tool use, and function-calling strategies to drive agent behavior;
• Design and implement robust middleware that connects APIs, AI models, databases, and services in scalable ways;
• Architect service-oriented and event-driven systems that enable real-time decision-making by agents;
• Build secure, resilient integration layers that facilitate communication between business systems (CRM, ERP, OMS, etc.);
• Ensure observability, monitoring, and governance of agent operations and system interactions;
• Partner with product managers, data engineers, and backend teams to align system capabilities with business goals;
• Lead architectural discussions and make trade-off decisions regarding scalability, modularity, and performance;
• Mentor engineers and contribute to architectural standards and AI enablement framework

Project Description:

Our client is the leading American company that pioneered the TV streaming platform, connecting consumers to streaming content through its operating system and devices. It develops and sells a range of hardware, such as streaming players, branded smart TVs, and audio products, while also licensing its OS to other TV manufacturers. The company generates revenue through device sales, platform services, licensing, advertising, and subscriptions facilitated through its platform.

Client sells various hardware, including streaming players and sticks, that allow users to access streaming services on their TVs.
Client also sells smart TVs that come with its own operating system pre-installed, often referred to as its top streaming platform in the US and Canada;
This is the foundation of the company's platform, powering both its own devices and TVs from other manufacturers that license the software.
A free, ad-supported streaming platform that offers a mix of on-demand and live content.
Provides digital advertising services to help businesses reach consumers on its platform.
This position is for highly specialized, senior-level engineers focused on designing, building, and deploying autonomous, intelligent software agents powered by LLMs. The core mission involves translating complex business needs into real-time, autonomous workflows by implementing advanced LLM capabilities, including Reasoning, Planning, RAG, long-term memory, and tool use/function calling.

🌍 Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

🧩 About the Product:

Our client develops software that helps engineering teams deploy and manage AI workloads in production. The platform simplifies infrastructure operations and supports reliable, scalable services across different deployment environments.

🌟 About the Role:

We are looking for a Senior Software Engineer to develop platform capabilities supporting AI model deployment and operation.

You will combine Python development with hands-on infrastructure engineering, improving the tools and services that help teams bring AI workloads into production. Your work will include performance optimization, automation, and operational reliability.

You will collaborate with other engineers, contribute to technical decisions, and take ownership of your work from design through deployment and ongoing support. The role includes participation in an on-call rotation.

📈 Key Responsibilities:

• Develop Python services and tools supporting AI workloads.
• Deploy, operate, and scale LLM inference services to meet the needs of active users and production traffic.
• Configure and optimize model execution across multiple GPUs and compute nodes.
• Build and improve automated deployment and configuration workflows.
• Integrate and configure model-serving technologies.
• Analyze system performance and improve scalability, resource efficiency, and reliability.
• Design tests to evaluate production readiness and identify performance bottlenecks.
• Improve monitoring, diagnostics, and recovery processes.
• Investigate production issues across software and infrastructure components.
• Contribute to architecture discussions, code reviews, and technical documentation.
• Collaborate with engineering teams to translate requirements into maintainable solutions.

💻 Required Competence and Skills:

• Strong Python development skills and experience building maintainable production software.
• Hands-on experience operating LLM inference services in production, supporting active users and real-world traffic.
• Practical experience deploying and serving models across multi-GPU configurations and multi-node environments.
• Experience configuring and tuning an LLM-serving framework, such as vLLM or a comparable technology.
• Practical understanding of GPU memory constraints and how they affect model deployment and execution.
• Experience evaluating performance under load and interpreting latency, throughput, and resource usage.
• Familiarity with techniques for reducing model memory requirements and improving inference efficiency.
• Experience with infrastructure automation and infrastructure-as-code tools.
• Strong Linux troubleshooting skills.
• Experience supporting production services, including monitoring and incident resolution.
• Ability to work independently, assess technical trade-offs, and communicate decisions clearly.
• Clear written and spoken English.

➕ Nice to Have:

• Experience with distributed systems or large-scale compute environments.
• Familiarity with multiple model-serving technologies.
• Experience with container orchestration and cloud infrastructure.
• Understanding of networking and its impact on application performance.
• Experience building tools for resource management, deployment, or operational automation.
• Background in AI platforms, developer tools, or infrastructure software.

🚀 Why Us:

- We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

- We provide full accounting and legal support in all countries we operate.

- We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

About the role

Softblues builds AI agents and process automation for UK and Irish businesses. We are looking for a Senior AI Solutions Engineer to lead the technical side of our client projects  from discovery to production agents. You will work together with our delivery lead.

What you will do

• Work with client environments and run technical sessions with their IT and data teams
• Map client systems, integrations and risks
• Assess candidate agents for complexity and estimate the effort
• Present the architecture and technical roadmap to the client
• Build agents from synthetic-data prototype to release
   

Requirements

• 6+ years in development, 2+ years with LLMs
• At least 2 agent solutions in production, one in a corporate Microsoft environment
• Azure (Entra ID, AI Foundry, Azure OpenAI, Functions or Container Apps, Key Vault)
• Microsoft 365 (Teams, SharePoint, Graph API, Power Automate, Copilot Studio)
• OpenAI and Claude: tool calling, RAG, structured outputs, evals
• Agent frameworks such as Semantic Kernel, LangGraph, OpenAI Agents SDK, Claude Agent SDK, MCP
• Python, CI/CD, integrations with legacy systems without proper APIs
• Strict data discipline: synthetic data, GDPR, ISO 27001 environments
• C1 spoken English and confidence leading technical calls with clients on your own
• Availability during UK working hours (at least 9:00 to 16:00 UK time)
   

Nice to have

C# / .NET, Microsoft certifications (AI-102, AZ-305), consulting or pre-sales experience, retail or hospitality domain.
 

We offer

• Direct work with UK clients on real production projects
• 20 to 40 hours a week during active phases, with further projects to follow
• Small team and quick decisions
• Start as soon as possible
   

Hiring process conducted in English

1. Intro call (30 min)
2. Technical interview 
3. Practical case
4. Psychometric test

Location: New York, NY or San Francisco, CA (Hybrid / On-site)

Employment Type: W-2 Contract or Full-Time (Must be authorized to work on W-2 in the US without sponsorship)

Experience: 3+ Years

Job Summary

We are seeking a Cloud FinOps Engineer to drive cloud cost optimization and financial accountability across massive multi-cloud infrastructure environments. You will partner with finance and engineering to balance performance with cost efficiency.

Key Responsibilities

• Analyze cloud usage patterns and identify cost reduction opportunities across AWS, Azure, and GCP.
• Implement automated tagging, budgeting alerts, and resource right-sizing policies.
• Establish KPIs and reporting dashboards to track unit economics and cloud spend efficiency.
• Guide engineering teams on cost-conscious architecture design without sacrificing system reliability.

Requirements

• Minimum 3 years of experience in Cloud FinOps, DevOps, or cloud financial management.
• Deep knowledge of AWS Cost Explorer, Azure Cost Management, Kubernetes resource quotas, and Datadog.
• Strong analytical skills with the ability to communicate financial data clearly to technical stakeholders.
• Valid W-2 work authorization in the United States (no C2C or cross-border arrangements).
  
  Sound like a fit?
  Apply now and our recruiting team will get back to you.

Location: New York, NY or San Francisco, CA (Hybrid / On-site)

Employment Type: W-2 Contract or Full-Time (Must be authorized to work on W-2 in the US without sponsorship)

Experience: 3+ Years

Job Summary

Our client is looking for an LLMOps / MLOps Specialist to automate and govern the lifecycle of enterprise generative AI applications. You will bridge the gap between machine learning research and reliable production deployment.

Key Responsibilities

• Build and maintain end-to-end CI/CD pipelines for machine learning and LLM applications.
• Implement robust model evaluation, monitoring, and observability frameworks (MLflow, LangChain, Arize).
• Manage vector databases and retrieval-augmented generation (RAG) pipelines at scale.
• Ensure data privacy, model safety, and compliance standards are enforced across all deployments.

Requirements

• Minimum 3 years of experience in MLOps, ML engineering, or backend systems focused on AI workflows.
• Hands-on experience with vector databases (Pinecone, Milvus, Qdrant) and orchestration frameworks (LangChain, LlamaIndex).
• Solid software engineering background in Python and containerized environments.
• Valid W-2 work authorization in the United States (no C2C or cross-border arrangements).
  
  Sound like a fit?
  Apply now and our recruiting team will get back to you.

Location: New York, NY or San Francisco, CA (Hybrid / On-site)

Employment Type: W-2 Contract or Full-Time (Must be authorized to work on W-2 in the US without sponsorship)

Experience: 3+ Years

Job Summary

We are seeking an AI / ML Infrastructure Engineer to join our client's high-performance engineering team. You will design, scale, and optimize the underlying infrastructure powering large-scale generative AI and machine learning models in production.

Key Responsibilities

• Architect and scale high-performance GPU clusters (NVIDIA hardware) for model training and low-latency inference.
• Optimize model serving pipelines using Triton Inference Server, vLLM, and TensorRT.
• Collaborate with data scientists and MLOps engineers to streamline distributed training workflows.
• Monitor, troubleshoot, and optimize cloud infrastructure costs and performance bottlenecks.

Requirements

• Minimum 3 years of hands-on experience in ML infrastructure, systems engineering, or DevOps roles.
• Strong proficiency in PyTorch, CUDA ecosystem, and container orchestration (Kubernetes, Docker).
• Deep experience with cloud providers (AWS, GCP) and Infrastructure as Code (Terraform).
• Valid W-2 work authorization in the United States (no C2C or cross-border arrangements).
  
  Sound like a fit?
  Apply now and our recruiting team will get back to you.

Location: New York, NY or San Francisco, CA (Hybrid / On-site)

Employment Type: W-2 Contract or Full-Time (Must be authorized to work on W-2 in the US without sponsorship)

Experience: 3+ Years

Job Summary

We are hiring a Senior Cloud Security Architect to design and enforce robust zero-trust security frameworks for enterprise cloud environments. You will secure multi-cloud architectures, container workloads, and AI infrastructure pipelines.

Key Responsibilities

• Design and implement zero-trust network architectures, identity and access management (IAM) policies, and encryption standards.
• Conduct threat modeling, security code reviews, and vulnerability assessments for cloud deployments.
• Ensure compliance with industry standards and federal frameworks (SOC 2, ISO 27001, FedRAMP).
• Partner with engineering teams to embed security best practices early in the development lifecycle (DevSecOps).

Requirements

• Minimum 3 years of experience in cloud security architecture, DevSecOps, or information security.
• Strong expertise in AWS/GCP security tools, Kubernetes security, and network segmentation.
• Relevant security certifications (CISSP, CCSP, or AWS Certified Security) are a strong plus.
• Valid W-2 work authorization in the United States (no C2C or cross-border arrangements).
  
  Sound like a fit?
  Apply now and our recruiting team will get back to you.

Your future responsibilities:

• Conversation Design
  • Design end-to-end customer conversations for AI assistants across banking use cases.
  • Create dialogue flows, conversation scenarios and response strategies for real-world customer interactions.
  • Define assistant behavior, personality, tone of voice and communication principles.
  • Design handling of ambiguous requests, error situations, escalations and fallback scenarios.
  • Build reusable conversation patterns that can scale across multiple products and services.
• Generative AI & Prompt Design
  • Develop, test and optimize prompts for LLM-powered assistants.
  • Design and refine AI instructions, guardrails and response frameworks.
  • Collaborate with AI engineers to improve response quality and customer experience.
  • Support implementation of RAG and Agentic AI capabilities.
  • Evaluate AI answers for accuracy, consistency, compliance and customer value.
• Continuous Improvement
  • Analyze conversation logs and customer interactions.
  • Identify friction points, failure patterns and opportunities for improvement.
  • Define and monitor conversational KPIs.
  • Participate in AI testing, evaluation and prompt optimization cycles.
  • Drive ongoing improvements in containment, resolution and customer satisfaction.

Your skills and experience:

• 3+ years of experience in Conversation Design, Chatbot Design, Voicebot Design, Conversational UX or related fields.
• Experience designing customer interactions for chatbots, virtual assistants or AI-powered services.
• Experience working with Generative AI and Large Language Models.
• Understanding of conversation architecture, dialogue design and natural language interaction principles.
• Experience writing, testing and improving prompts.
• Strong analytical skills and ability to work with conversation logs and interaction data.
• Excellent written communication skills.
• Fluent English.

Nice to have:

• Experience with banking, fintech or customer service environments.
• Experience with RAG solutions and Agentic AI systems.
• Experience with platforms such as Genesys, Cognigy, Kore.ai, Microsoft Copilot Studio, Dialogflow or similar.
• Knowledge of conversational analytics and evaluation methodologies.
• Experience designing both chat and voice experiences.

We offer what matters most to you:

• Competitive salary: we guarantee a stable income and annual bonuses for your personal contribution. Additionally, we have a referral program with rewards for bringing in new colleagues to Raiffeisen Bank. 
• Social package: official employment, 28 days of paid leave, additional paternity leave, and financial assistance for parents with newborns. 
• Comfortable working conditions: possibility of a hybrid work format, offices equipped with shelters and generators, modern equipment. 
• Wellbeing program: all employees have access to medical insurance from the first working day; consultations with a psychologist, nutritionist, or lawyer; discount programs for sports and purchases; family days for children and adults; in-office massages. 
• Training and development: access to over 130 online training resources; corporate training programs in CX, Data, IT security, leadership, agile, сorporate library. 
• Great team: our colleagues form a community where curiosity, talent, and innovation are welcome. We support each other, learn together, and grow. You can find like-minded individuals in over 15 professional communities, reading clubs, or sports clubs. 
• Career opportunities: we encourage advancement within the bank across functions. 
• Innovations and technologies: Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go (infra, security), Swift (IOS), Kotlin (Android). Data stores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink. AI: building expertise and actively integrating into processes. 
• Support program for defenders: we maintain jobs and pay average wages to mobilized individuals. For veterans, we have a support program and develop the Bank’s veterans community. We work on increasing awareness among leaders and teams about the return of veterans to civilian life. Raiffeisen Bank has been recognized as one of the best employers for veterans by Forbes. 

Why Raiffeisen Bank? 

• Our main value is people, and we support and recognize them, educate them and involve them in changes. Join Raif’s team because for us YOU matter! 
• One of the largest lenders to the economy and agricultural business among private banks. 
• Recognized as the best employer by EY, Forbes, Robota.ua, Stud-Point, Delo.UA, NV, Odgers, UAFIC. 
• The largest humanitarian aid donor among banks (Ukrainian Red Cross, UNITED24, Superhumans, СМІЛИВІ). 
• One of the largest IT product teams among the country’s banks. 
• One of the largest taxpayers in Ukraine; 6 billion UAH were paid in taxes in 2025. 

Opportunities for Everyone: 

• Raif is guided by principles focused on human development and the well-being of 5,000 employees and over 2.5 million clients. 
• We uphold the principles of diversity, equity, and inclusion. 
• We are open to hiring veterans and people with disabilities and are ready to adapt the work environment to meet your specific needs. 
• We collaborate with students and experienced professionals alike, creating opportunities for growth at every stage of a career 

You matter at Raif! 

Want to learn more? — Follow us on social media:

Facebook, Instagram, LinkedIn

Your future responsibilities:

• Design and develop conversational AI and agentic solutions for mobile banking customer support
• Build AI orchestration and dialogue flows integrating multiple specialized AI agents and backend capabilities
• Integrate AI agents using A2A (Agent2Agent) and MCP (Model Context Protocol)
• Design and implement RAG-based solutions using different retrieval strategies, knowledge sources and vector databases
• Build search and reasoning graphs for multi-step customer request resolution
• Integrate AI solutions with banking APIs and customer data, ensuring secure and controlled access
• Develop microservices and REST APIs supporting AI and agent workflows
• Implement tool calling, function calling and agent-to-agent workflows
• Build reliable routing, fallback and human handoff mechanisms
• Develop automated tests for AI workflows, integrations and APIs
• Build and maintain CI/CD pipelines
• Monitor, troubleshoot and continuously improve AI solutions in production

Your skills and experience:

Core Software Engineering (Must Have)

• Strong commercial experience in Java and building scalable microservices / distributed systems.
• Solid understanding of software architecture, clean code principles, design patterns, and RESTful API design.
• Experience integrating complex enterprise APIs and heterogeneous data sources with robust auth/security (OAuth2, OIDC, secrets management).

AI & Agentic Systems (Must Have)

• Proven track record of developing production-grade LLM-powered applications, AI agents, and workflows (state machines / graphs).
• Hands-on experience with RAG architectures: advanced retrieval (hybrid, semantic, reranking), embeddings, and vector databases.
• Deep understanding of tool/function calling, context management, and emerging protocols (MCP, Agent-to-Agent).
• Awareness of LLM-specific security & safety: prompt injection mitigation, sandboxed tool execution, data privacy, and access controls.

Infrastructure, Testing & Observability

• Cloud & DevOps fundamentals: AWS, Docker, Kubernetes, CI/CD, and Linux.
• Strong testing culture: unit/integration testing, testing distributed systems, and evaluation of non-deterministic LLM outputs.
• Production observability: distributed tracing, logging, metrics, and AI tracing/evals.

Nice to Have

• Experience with frameworks and orchestrators: LangGraph, LangChain, ADK, or similar.
• Hands-on experience with Qdrant, OpenSearch, or Elasticsearch.
• Building and operating MCP servers in enterprise environments.
• Event-driven architectures (Kafka, RabbitMQ, SQS).

We offer what matters most to you:

• Competitive salary: we guarantee a stable income and annual bonuses for your personal contribution. Additionally, we have a referral reward program for attracting new colleagues to Raiffeisen Bank
• Social package: official employment, 28 days of paid leave, additional “maternity leave” for fathers, and financial assistance for parents upon the birth of children
• Comfortable working conditions: the possibility of a hybrid work format, offices equipped with shelters and generators, provision with modern equipment
• Wellbeing program: all employees have access to medical insurance from the first working day; consultations with a psychologist, nutritionist or lawyer; discount program for sports and shopping; family days for children and adults; massage in the office
• Learning and development: access to over 130 online educational resources; corporate training programs, online library, mentoring program
• A great team: our colleagues are a community where curiosity, talent and innovation are welcomed. We support each other, learn together and grow. You can find like-minded people in over 15 professional communities, reading or sports clubs
• Career opportunities: we encourage advancement within the bank between functions
• Innovation and technology. Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go (infra, security), Swift (IOS), Kotlin (Andorid)Datastores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink, we develop expertise in AI and actively integrate it into processes
• Support program for defenders: we preserve jobs and pay the average salary to mobilized people. We have a support program for veterans, and the Bank’s veteran community is developing. We are working to raise awareness among managers and teams on the issues of veterans’ return to civilian life. Raiffeisen Bank is recognized as one of the best employers for veterans (Forbes)

Why Raiffeisen Bank?

• Our main value is people, and we support and recognize them, educate them and involve them in changes. Join Raif’s team because for us YOU matter!
• One of the largest lenders to the economy and agricultural business among private banks
• Recognized as the best employer by EY, Forbes, Randstad, Franklin Covey, and Delo.UA
• The largest humanitarian aid donor among banks (Ukrainian Red Cross, UNITED24, Superhumans, СМІЛИВІ)
• One of the largest IT product teams among the country’s banks. • One of the largest taxpayers in Ukraine; 6.6 billion UAH were paid in taxes in 2023.

Opportunities for Everyone:

• Raif is guided by principles that focus on people and their development, with 5,500 employees and more than 2.7 million customers at the center of attention
• We support the principles of diversity, equality and inclusiveness
• We are open to hiring veterans and people with disabilities and are ready to adapt the work environment to your special needs
• We cooperate with students and older people, creating conditions for growth at any career stage

You matter at Raif!

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