Andersen is hiring an AI Engineer for a project building AI agents and intelligent assistants that automate communication, analysis, and business workflows.

The customer is a technology-focused company specializing in AI-driven solutions and digital innovation for businesses across multiple industries. The organization develops intelligent platforms and automation tools designed to improve operational efficiency, streamline workflows, and support data-driven decision-making. The company operates in an international environment with a strong focus on scalable architecture, modern engineering practices, and the practical implementation of advanced AI technologies.

The project is focused on developing a platform for creating AI agents without technical expertise. It enables businesses to deploy plug-and-play AI assistants that handle communication, reporting, analysis, and collaboration tasks across channels such as email, phone, etc.

Responsibilities:

• Designing, building, and deploying production-grade agentic AI systems, moving beyond prototypes to scalable, reliable solutions.
• Developing and optimizing core agent capabilities, including prompt design, tool integration, memory management, and retrieval-augmented generation (RAG).
• Implementing and orchestrating multi-agent architectures (e.g., planner–executor, supervisor, handoff patterns) using frameworks such as LangGraph, LangChain, or similar.
• Evaluating, debugging, and improving agent performance, including handling non-deterministic behavior and defining robust evaluation strategies (evals, regression suites, golden datasets).
• Leveraging AI-assisted development tools (e.g., Cursor, Claude Code) to accelerate delivery while maintaining high code quality and production readiness.
• Building and maintaining end-to-end infrastructure, including CI/CD pipelines, databases, logging, monitoring, and error tracking systems.
• Ensuring strong testing coverage across the stack (unit, integration, end-to-end), with a special focus on testing AI-driven systems.
• Developing and maintaining frontend components and SaaS applications using React/Next.js, including multi-tenant architectures, RBAC, onboarding flows, and conversational interfaces.
• Applying security best practices across the system, including authentication, authorization, data protection, and mitigation of LLM-specific risks (e.g., prompt injection, tool misuse).
• Designing systems with compliance in mind (e.g., GDPR, SOC 2), ensuring proper handling of user data and audit readiness.
• Taking ownership of features and systems end-to-end, from ideation to deployment and iteration.
• Operating effectively in a fast-paced startup environment, balancing speed and quality while adapting to evolving priorities.

Must-haves:

• Experience as an AI Engineer for 2+ years.
• Hands-on experience designing and delivering production-ready agentic AI systems.
• Strong understanding of prompt engineering, tools/skills, memory management, embeddings, RAG, and MCP.
• Experience with multi-agent orchestration patterns and frameworks such as LangGraph, LangChain, or equivalents.
• Ability to evaluate agent quality, debug non-deterministic behavior, and identify when LLMs are not the right solution.
• Active use of AI coding tools such as Claude Code, Cursor, or similar.
• Ability to rapidly build scalable, maintainable, and production-ready software.
• Experience setting up full development ecosystems: Git workflows, CI/CD, DB provisioning/migrations, logging, monitoring, backups, and error tracking.
• Strong testing practices across unit, integration, E2E, and LLM-specific evaluations/regression suites.
• Experience with React/Next.js and component-based UI development.
• Experience building multi-tenant SaaS platforms, including RBAC, onboarding flows, admin dashboards, and conversation UIs.
• Strong security mindset, including authentication/authorization, secrets management, encryption, OWASP Top 10, and LLM-specific risks (prompt injection, tool abuse).
• Understanding of SOC 2, GDPR, and secure handling of customer data and conversation logs.
• Ability to thrive in fast-moving startup environments, manage shifting priorities, and make effective decisions under ambiguity.
• Level of English – from Intermediate+ and above.

Reasons why this job would be interesting to you:

• Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..
• The opportunity to change the project and/or develop expertise in an interesting business domain.
• Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant.
• Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.
• The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities.
• Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.
• Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).
• Certification compensation (AWS, PMP, etc).
• Referral program.
• English courses.
• Private health insurance and compensation for sports activities.