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Описание вакансии
Текст:
TL;DR
Applied AI Engineer (Operations Automation): Building operations automation systems for customer support, document verification, and fraud detection across a global mobility platform with an accent on LLM evaluation, process redesign, and decision quality. Focus on designing agent and human checkpoints, calibrating LLM judges, running A/B tests, and improving live systems through policies, prompts, tools, and models.
Location: On-site at Bolt's Tallinn HQ, Estonia
Company
Bolt operates a global mobility platform serving more than 200 million customers across 50+ countries and 850+ cities, supported by 4.5+ million partners and 4,000+ employees.
What you will do
- Redesign operational processes by deciding which steps should become software, AI agents, or human checkpoints.
- Build evaluation suites from real cases and human decisions, turning failures into regression tests.
- Develop robust checks for LLM and agent systems, calibrate LLM judges against human labels, and control costs and payouts.
- Run improvement loops across policies, prompts, tools, models, and post-training methods.
- Own rollout decisions, A/B tests, and the feedback loop between live results and evaluation sets.
- Codify successful solutions so other teams can operate them independently.
Requirements
- Background in software engineering, machine learning, or data science, with experience shipping and operating systems that call LLMs.
- Experience building evaluation suites for LLM or agent systems and using them to make release decisions.
- Ability to analyze agent traces, identify decision failures, and improve system behavior.
- Experience designing LLM judges, measuring agreement with human labels, and addressing disagreements.
- Ability to design and interpret A/B tests, compare offline predictions with live results, and assess cost trade-offs between rules, classical ML, humans, and LLMs.
- Clear written English is required; the role is performed on-site in Tallinn, Estonia.
Nice to have
- Hands-on post-training experience with RLVR, GRPO, DPO, reward modeling, or LoRA.
- Experience with GEPA, DSPy, TextGrad, or similar program optimization frameworks.
- RL environment or gym design with programmatic grading.
- Operations automation experience in a marketplace, fintech, or trust and safety team.
- Strong SQL skills and comfort working in unfamiliar codebases.
Culture & Benefits
- On-site collaboration with operations and engineering teams at the Tallinn headquarters.
- Professional growth opportunities and career development.
- Salary, stock options, and physical and mental wellness benefits.
- A one-month paid sabbatical after five years at Bolt.
- Annual company events and smaller team gatherings.
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