Senior Integration / Automation Engineer

Наша команда создает новую CRM с искусственным интеллектом для клиентских менеджеров. Мы в поиске стажера желающего развиваться в построении AI-агентов

• создание прототипов агентов по бизнес требованиям в low code среде Langflow, в том числе с использованием тулов и RAG при необходимости для автотмазиции ручных процессов обработки обращений пользователей

• составление\тюнинг промптов

• написание и поддержка требований и алгоритма работы агентов по бизнес требованиям

• проработка интеграций, заведение CR на смежные команды

• координация решения обращений со смежными командами, автоматизация данного процесса.

• написание и ведение сопроводительной документации

• заведение задач на разработку и тестирование

• понимание принципов работы с генеративным ИИ и сопутствующими технологиями. Промпт-инжинеринг, RAG, MCP, вызов тулов и пр.

• опыт работы с XML\JSON

• понимание основных принципов и способов интеграции приложений (REST, очереди сообщений)

• понимание методологий разработки ПО (например, Agile, Scrum, Waterfall)

• умение эффективно общаться с командой разработчиков, бизнес-пользователями и другими заинтересованными сторонами

• умение использовать UML для моделирования систем

• офис в центре Сочи, ул. Войкова д.2 — всего в нескольких минутах ходьбы от побережья Черного моря

• срочный трудовой договор на 3/6 месяцев

• возможность выбрать удобный график – офис или гибрид

• условия для комфортной и продуктивной работы: просторные и светлые рабочие зоны, конференц-залы и переговорные комнаты, открытая веранда с видом на море

• более 400 образовательных программ СберУниверситета для профессионального и карьерного развития

About Bolt

Bolt is shaping a future where cities are built for people, not cars. What started as an ambitious project of a 19-year-old in 2013 has grown into a global mobility platform used by more than 200 million customers and 4.5 million driver and courier partners across 50 countries.

From ride-hailing and food delivery to scooters, e-bikes, and car-sharing, Bolt helps people move through cities every day. Small, autonomous teams drive this work, combining the speed and ownership of a startup with the scale of a global technology company backed by more than €1bn in funding.

And we're just getting started.

Why join Bolt?

• Build the future of mobility and help transform how people live and move in cities.

• Tackle challenges at scale that span technology, operations, regulation, and growth.

• Take real ownership early. Small, lean teams mean your decisions matter from day one, and you'll learn fast alongside some of the best people in the industry.

• Join one of Europe's leading technology companies, backed by world-class investors including Sequoia.

About the role

Join Bolt as a Senior AI/Agent Engineer to build production AI agents that take real action across our People systems. This is a newly formed team, so you'll be setting the patterns rather than inheriting them. You'll transform complex processes spanning HRIS, ATS, performance, payroll, goals, learning, and data systems into safe, scalable, and reliable workflows. Your work will reduce manual effort and make critical People processes faster, more reliable, and easier to scale.

As the Senior Engineer on the agentic side of the team, you'll own systems end to end — from solution design through evaluation, reliability, and production operation — and set the patterns the rest of the team builds on. You'll work closely with Integration and Analytics Engineers to define the tool contracts and data requirements your agents depend on, while mentoring engineers and contributing strong engineering patterns. As these systems handle sensitive employee data and employment-related processes, you'll apply a particularly high bar for correctness, auditability, safety, and human oversight.

Main tasks and responsibilities:

• Owning the full lifecycle of production AI agents and LLM-powered automation — from requirements and solution design through implementation, automated testing and evaluations, release, monitoring, and ongoing maintenance.

• Designing agents that safely take action across People systems, including tool contracts, input validation, scoped permissions, idempotency, retries, rollback strategies, and appropriate human-in-the-loop approval gates.

• Building reliable agentic workflows, multi-step LLM pipelines, and retrieval solutions using event-driven architecture and the orchestration patterns and integration standards adopted by the team.

• Establishing evaluation, observability, and safety practices for your agents, including regression suites, production monitoring, audit trails, cost controls, data minimisation, and safeguards against hallucination or unsafe actions.

• Partnering with People stakeholders, Integration Engineers, and Analytics Engineers to define requirements, protect data integrity, and determine when AI, deterministic automation, integration improvements, or process changes are the right solution.

• Raising the engineering bar through high-quality documentation and code reviews, mentoring engineers, contributing to agentic AI standards and knowledge sharing, and participating in technical hiring.

About you:

• You have strong software engineering fundamentals, with experience working in service-oriented production codebases and building scalable, fault-tolerant systems.

• You have hands-on experience shipping AI agents or LLM-powered features to production, including agents that take actions across systems using tool/function calling, permission scoping, and safe handling of side effects.

• You're experienced with LLM and agent evaluation, observability, and reliability, and understand how to turn non-deterministic model behaviour into dependable production systems.

• You understand event-driven and asynchronous architectures, APIs, cloud infrastructure, and retrieval approaches such as embeddings, vector stores, retrieval strategies, and re-ranking.

• You have strong technical judgement — including knowing when AI is not the right solution — and can clearly explain model, agent, and architecture trade-offs to both engineers and non-technical stakeholders.

• You care deeply about engineering quality and responsible handling of sensitive personal data, and you're comfortable mentoring other engineers while designing systems with appropriate security, auditability, transparency, and human oversight.

Why you’ll love it here

• Accelerate your professional growth with unique career opportunities.

• Enjoy a rewarding salary and stock options, knowing that as Bolt succeeds, so do you.

• Take care of your physical and mental health with our wellness perks.

• Celebrate 5 years at Bolt with a 1-month paid sabbatical to recharge.

• Connect with colleagues at annual company events and smaller team gatherings.

• Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days.

Some perks may differ depending on your location and role.

At Bolt, using AI daily is a baseline expectation for everyone. If there’s a faster, smarter way to do your work, we expect you to find it. You’re still responsible for the output, so the standard stays high when using AI tools.

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!

Everyone is welcome

Bolt is an equal opportunity employer. We are committed to building a diverse and inclusive workplace where all qualified applicants are considered for employment without regard to race, colour, nationality, religion, gender or gender identity, sexual orientation, age, or disability.

We welcome applications from all backgrounds and are happy to make reasonable accommodations throughout our hiring process. If you require any adjustments, please let us know.

• Build prototypes and demos across the product portfolio — serverless inference, databases, MLflow, MLOps, and vertical use cases in Physical AI and HCLS — that become assets for sales, product, and engineering teams
• Support new customers hands-on through POC design, technical onboarding, and validation; act as the bridge between their ML team and the platform during the critical first months
• Go deep on emerging applied AI — new training techniques, inference optimizations, agentic architectures, new frameworks — and turn findings into working prototypes, writeups, and product recommendations
• Feed the product roadmap with specific, grounded feedback; be the voice of "here's what broke in three customer POCs last month and here's what needs to change"
• Develop reusable technical assets — notebooks, reference architectures, benchmark results — that reduce onboarding friction at scale

• You've fine-tuned large models, debugged distributed training jobs, built production RAG or agentic pipelines, and optimized inference on GPU infrastructure — not just read about it
• You're fluent in the modern ML stack: PyTorch, HuggingFace, CUDA fundamentals, Kubernetes for ML, MLflow or equivalent, vector databases
• You've worked with enterprise ML teams — whether as a solutions engineer, customer engineer, or an ML engineer who collaborated closely with customers
• You read papers and implement them — not for credit, but because it's how you stay sharp
• You communicate with calibration: you can explain activation checkpointing tradeoffs to an ML engineer in the morning and the cost implication to a CTO in the afternoon

• Experience in any of our vertical domains: Physical AI / robotics / simulation, HCLS (drug discovery, medical imaging, clinical NLP), or enterprise AI application development
• Familiarity with MLOps at scale (Kubeflow, Metaflow, Argo, Ray)
• Prior work at a cloud provider or AI infrastructure company
• You've shared technical work publicly — notebooks, talks, blog posts that people actually use

• Competitive salary and comprehensive benefits package.
• Opportunities for professional growth within Nebius.
• Flexible working arrangements.
• A dynamic and collaborative work environment that values initiative and innovation.