Machine Learning Engineer (AI Core Team)
Role details
Job location
Tech stack
Job description
- Design and deliver ML/LLM solutions end-to-end: fast prototyping, offline evaluation, and production rollout of models and agent workflows.
- Build and iterate on AI agents (RAG, vector search, memory, tools) using clear benchmarks and product metrics to guide improvements.
- Choose and implement the right approach for each problem (classical ML, LLMs, RAG pipelines, or agent architectures), defining data and labeling needs where required.
- Work closely with the Python Platform team to productionize your solutions with clean service boundaries, monitoring, and scalability in mind., * Professional development budget for conference tickets, online courses, and other relevant resources to help you grow.
- Flexible benefits package to tailor perks that matters most for you.
- Hybrid work and generous leave options to prioritize your work-life balance.
- ️ In-office perks, including free meals and snacks.
- Company-funded sport activities, annual offsites, and team-building events.
Manychat is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.
This commitment is also reflected through our candidate experience. If you have individual needs that may require an accommodation during the interview process, please indicate this in your application. We will do our best to provide assistance throughout your interview process to ensure you're set up for success.
Requirements
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Solid understanding of ML algorithms, metrics, search, RAG, and agent design.
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Experience with frameworks like LlamaIndex, LangChain, or similar.
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Hands-on tuning with PyTorch, TensorFlow.
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Experience with LLM evaluation and benchmarking. Engineering Skills
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Strong Python engineering background, ideally three or more years in production environments.
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Experience building backend services (FastAPI, Docker, Pydantic, PostgreSQL).
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Familiarity with cloud environments and monitoring is a strong plus. Collaboration & Ownership
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Clear communication in English.
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Ability to work independently, iterate fast, and collaborate with product, data, and engineering teams.
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Product mindset and comfort working in a fast-moving environment.
About the company
Manychat is a leading Chat Marketing platform that helps businesses engage with their customers on Instagram, Facebook Messenger, WhatsApp, and Telegram.
Manychat is a Meta Official Business Partner, backed by top investors, including Bessemer Venture Partners.
More than one million companies choose Manychat to power their business-to-customer conversations, from small businesses to leading global brands. No matter the use case — generating leads, increasing engagement, providing 24/7 customer support, accepting payments, and beyond — Manychat helps businesses grow their ROI and revenue.
Manychat was founded in 2015 and currently has 200+ team members in five global offices — Barcelona, Amsterdam, Austin, Sao Paolo, Yerevan.
Manyсhat is a rich web application built with TypeScript, React Hooks and Redux Toolkit on the frontend side and PHP 8.1 and Python on the backend side.
Manychat engineers prioritize both technology and user experience to deliver value to customers, striving to provide simple and reliable solutions.