Python Developer (Backend + Fullstack)

RateHawk; United States; Teletrabalho; USD 110 000 - 170 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Partial training reimbursement

Corporate English school

Flexible/remote work options

Professional development programs

Resumo da oferta

RateHawk is seeking a Python Developer to join our team building an internal analytics platform and AI solutions that automate analysts' work. You’ll work on backend services and analytics tools, integrate LLMs, and contribute to AI agents, while also handling regular backend tasks and frontend features.

You should have 3+ years of Python backend experience, familiarity with React, and strong SQL (PostgreSQL). We value independent work and a pragmatic approach to architecture.

Qualificações

• 3+ years of commercial Python backend experience.
• Experience with React or willingness to learn quickly.
• Experience with backend services, APIs, and system integrations.
• Strong SQL skills and PostgreSQL experience.
• Interest in LLMs and AI agents; practical use of language models.
• Ability to work independently and learn existing codebases.

Responsabilidades

• Develop and improve Python backend services for analytics platform.
• Build analytics tools, admin interfaces, and services for data engineers.
• Integrate LLMs with databases, APIs, and analytics interfaces.
• Develop AI agents for data analysis and Text2SQL tasks.
• Work on frontend features using React.
• Design APIs and participate in architecture discussions, and help choose technical solutions.
• Adapt open-source solutions, write tests, and take part in code reviews.
• 3+ years of commercial experience in Python backend development.

Conhecimentos

Python backend development

Backend services & APIs

React frontend experience

SQL / PostgreSQL

LLMs / AI agents interest

Independent work

Codebase learning ability

Architecture understanding

English communication

Ferramentas

LangChain

LlamaIndex

CrewAI

AutoGen

PostgreSQL

pgvector

ChromaDB

Qdrant

Docker

CI/CD

S3-compatible storage

Descrição da oferta de emprego

We are looking for a Python Developer to join a team that develops an internal analytics platform and builds AI solutions to automate the work of analysts and data engineers.

You will work on backend services and analytics tools, integrate LLMs into existing products, and gradually take part in developing AI agents. This role is not only about AI development. It also includes regular backend tasks and working with frontend features.

What You Will Do

• Develop and improve Python backend services for the internal analytics platform.

• Build features for analytics tools, admin interfaces, and services for data engineers.

• Integrate LLMs with databases, APIs, and analytics interfaces.

• Take part in developing AI agents for data analysis, generating SQL from natural language requests (Text2SQL), and automating routine tasks.

• Work on frontend features using React.

• Design APIs and integrations, take part in architecture discussions, and help choose technical solutions.

• Adapt open-source solutions to the platform’s needs, write tests, and take part in code reviews.

• More than 3 years of commercial experience in Python backend development.

• Experience with React or a willingness to learn it quickly.

• Experience building backend services, APIs, and integrations between systems.

• Knowledge of SQL and experience with relational databases, such as PostgreSQL.

• Understanding of application architecture, design principles, and common development patterns.

• Interest in LLMs and AI agents, understanding of the basic principles behind language models, and willingness to use them to solve practical problems.

• Active use of AI tools in development and the ability to critically evaluate their results.

• Ability to work independently, take a structured approach to solving problems, and learn existing codebases and new technologies.

Nice to Have

• Experience integrating LLMs through APIs or using AI frameworks such as LangChain, LlamaIndex, CrewAI, or AutoGen.

• Familiarity with vector databases such as pgvector, ChromaDB, or Qdrant.

• Experience with analytical databases and data warehouses such as ClickHouse, Greenplum, or Vertica.

• Familiarity with S3-compatible object storage, such as Ozone S3.

• Experience building admin interfaces, internal tools, BI solutions, or analytics dashboards.

• Experience with Docker, CI/CD, and service monitoring tools.

• Experience adapting and extending open-source solutions.

• English Proficiency: сonversational English at B1 level or above.

• Flexible schedules and opportunity to work remotely.

• Ambitious and supportive team who love what they do, appreciate each other, and grow together.

• Internal programs for adaptation and training, development of soft skills, and leadership abilities.

• Partial compensation for participating in external training and conferences.

• Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world.

• Corporate prices on hotels and travel services.

• MyTime Day Off - an extra non-working day without loss of compensation.

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