This range is provided by Tagflow AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Responsibilities
- Join Tagflow AI as a Software Engineer, where you’ll build the backbone of our AI fine-tuning and retrieval platform. You’ll design scalable systems end-to-end, contribute across backend, frontend, and DevOps, and help power real-world AI applications.
- Build and optimize backend systems, APIs, and data / ML pipelines.
- Develop full-stack features using Python (FastAPI) and React / TypeScript.
- Ensure performance, reliability, and cost efficiency across infra and workflows.
- Implement DevOps practices for deployment, monitoring, and scalability.
- Collaborate with the team to ship features from concept to production.
Requirements
2+ years of engineering experience with a focus on full-stack development.Strong Python skills for backend services and APIs.Proficiency in React and modern frontend practices.Experience working with relational databases (e.g., PostgreSQL).Familiarity with cloud infrastructure and deployment workflows.Exposure to DevOps (Docker, CI / CD pipelines, cloud deployment).Ownership mindset : proactive, problem-solver, eager to shape early-stage tech.Passion for building impactful products.Nice to Have
Familiarity with AI, LLMs, transformers, or computer vision architectures.Experience with Streamlit for interactive data apps.Interest in contributing to open-source innovationSeniority level
Entry levelEmployment type
ContractJob function
Engineering and Information TechnologyIndustries
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