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💼 Full-time🗓 2026-06-25

Core

Designing and building end-to-end Machine Learning systems and AI applications using Python, NodeJS, and LLMs.

Role type

FullStack AI/ML Engineer

Builds

Scalable AI/ML systems, user-facing RESTful APIs, and containerized applications

Domain

Artificial Intelligence, Machine Learning, FullStack Engineering

Deliverable

production ML models | product features | infrastructure

Required skills

Python, NodeJS, LLM models and APIs, LangChain, LangGraph, HuggingFace, Open source LLM models, RESTful APIs, SQL/NoSQL databases, Docker, CI/CD, cloud deployment, benchmarking, performance optimization

Preferred skills

Data science, building AI/ML pipelines, training models, building container images

Technologies

ReactJS, LangChain, LangGraph, HuggingFace, Docker

Responsibilities

Solution architecting based on evolving product requirements, experimenting and researching new AI tools and technologies, preparing technical architecture and proposing development solutions, producing clean and efficient code, establishing scalable automated processes for data analysis and model implementation, implementing user-facing RESTful APIs, integrating software components and third-party programs, designing and implementing low-latency high-availability applications, writing reusable testable and efficient code for front-end apps and APIs, troubleshooting debugging and upgrading existing software, recommending and executing improvements for software development and delivery

Seniority

Mid-Senior, hands-on IC

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