Machine Learning Engineer (Ai Core Team)

WHO WE ARE ?Manychat is a leading Chat Marketing platform. We help businesses engage with their customers on Instagram, Facebook Messenger, WhatsApp, and Telegram.Trusted by over 1 million brands in 170+ countries, we’re an official Meta Business Partner, backed by top investors, including Bessemer Venture Partners.With 300+ teammates across international offices in Barcelona, Austin, Amsterdam, São Paulo, and Yerevan - Manychat helps businesses across the globe improve their ROI and grow faster.WHO WE’RE LOOKING FOR ?Manychat’s AI Core team turns ML and LLM ideas into production features used in millions of conversations every day. You will work acrossapplied research, prototyping, and production delivery, partnering closely with our Python Platform team and Product to validate ideas quickly and ship high-impact AI workflows.This role suits someone who loves to build fast, experiment, and take ownership of models, agents, and workflows end to end.WHAT YOU’LL DO ?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 approachfor each problem (classical ML, LLMs, RAG pipelines, or agent architectures), defining data and labeling needs where required.Work closely with the Python Platform teamto productionize your solutions with clean service boundaries, monitoring, and scalability in mind.WHAT YOU’LL BRING ?Machine Learning & LLM ExpertiseSolid understanding of ML algorithms, metrics, search, RAG, and agent design.Experience with frameworks like LlamaIndex, LangChain, or similar.Hands-on tuning with PyTorch, TensorFlow.Experience with LLM evaluation and benchmarking.Engineering SkillsStrong Python engineering background, ideally three or more years in production environments.Experience building backend services (FastAPI, Docker, Pydantic, PostgreSQL).Familiarity with cloud environments and monitoring is a strong plus.Collaboration & OwnershipClear communication in English.Ability to work independently, iterate fast, and collaborate with product, data, and engineering teams.Product mindset and comfort working in a fast-moving environment.WHAT WE OFFER ?We care deeply about your growth, well-being, and comfort:? Comprehensivehealth insurancefor both you and your family.?Professional development budgetfor conference tickets, online courses, and other relevant resources to help you grow.?Flexible benefits packageto tailor perks that matters most for you.? Hybrid workandgenerous leave optionsto prioritize your work-life balance.??In-office perks, including free meals and snacks.? Company-fundedsport activities,annual offsites,andteam-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.With my application, I accept the Manychat .

Solid understanding of ML algorithms, metrics, search, RAG, and agent design. Experience with frameworks like LlamaIndex, LangChain, or similar. Hands-on tuning with PyTorch, TensorFlow. Experience with LLM evaluation and benchmarking. Engineering Skills Strong Python engineering background, ideally three or more years in production environments. Experience building backend services (FastAPI, Docker, Pydantic, PostgreSQL). Familiarity with cloud environments and monitoring is a strong plus. Collaboration & Ownership Clear communication in English. Ability to work independently, iterate fast, and collaborate with product, data, and engineering teams. Product mindset and comfort working in a fast-moving environment.

We care deeply about your growth, well-being, and comfort: ? Comprehensive health insurance for both you and your family. ? 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. With my application, I accept the Manychat .

Manychat is a leading Chat Marketing platform. We help businesses engage with their customers on Instagram, Facebook Messenger, WhatsApp, and Telegram.