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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

Rewrite
## About the role Tweeny is hiring for various full stack engineering roles in ReactJS/NodeJS/Python Engineers, Fullstack developers and Product Managers. ## Requirements - 4-5 years of Software development exprerience with relevant working experience with backend systems, ML/AI exposure, and other advanced libraries and frameworks. - Industry experience building innovative end-to-end Machine Learning systems - Architect, build, maintain, and improve new and existing suite of algorithms and their underlying systems - Ability to understand business requirements and translate them into technical requirements. - Strong software engineering skills with the proven ability to build, deploy, and maintain a scalable codebase. - Experience working with remote data using RESTful APIs and JSON. - Experience with Python, SQL/NoSQL databases, data anlytics systems and web technologies is a must - Experience with LLM models and APIs - Exposure to new tools and technologies for build AI Apps using LangChain, LangGraph, HuggingFace, Open source LLM models is necessary - Exposure to building AI/ML pipelines, training models, data science would be a bonus. - Strong affinity for benchmarking and performance optimization. - Experience deploying applications to the cloud and setting up CI/CD is a plus. - Experience building container images using tools like Docker is a plus. - Ability to learn new languages and technologies is a must. - B.E/B.Tech in Computer Science, Engineering, or a related field. ## Responsibilities - Solution Architecting the problems based on evolving product requirements - Experimentation and research is at the core of what you do. The role involves learning new AI tools, technologies and understanding the landscape to research tools and systems to advance our product development - Understanding business requirements, preparing the technical architecture and proposing development solutions for the execution along with the team - Produce clean, efficient code based on specifications - Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation, - Implementation of User facing RESTful APIs in collaboration with other engineers - Integrate software components and third-party programs - Design and implementation of low-latency, high-availability, and performant applications - Writing reusable, testable, and efficient code for our Front-end App and APIs - Troubleshoot, debug and upgrade existing software - Recommend and execute improvements for the software development and software delivery - Ensure the highest standard of performance, quality, and responsiveness of the applications. - You will be part
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