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Mid LevelFull-timePythonDockerPostgreSQLMachine LearningTensorFlowPyTorchAIML
Salary Range
$48,960 - $66,240 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for an ML/LLM Engineer to join Manychat's AI Core team. This role involves turning ML and LLM ideas into production features used in millions of conversations daily.
Key Responsibilities
- →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.
Requirements
- ✓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.
- ✓Strong Python engineering background, ideally three or more years in production environments.
- ✓Experience building backend services (FastAPI, Docker, Pydantic, PostgreSQL).
- ✓Clear communication in English.
- ✓Ability to work independently, iterate fast, and collaborate with product, data, and engineering teams.
