Python Engineer

Bounteous x Accolite

Bengaluru

On-site

INR 1,200,000 - 1,800,000

Full time

14 days+

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Job summary

Bounteous x Accolite in Bengaluru is seeking a highly skilled Python Engineer to design and build scalable, AI-driven applications with hands-on Generative AI and AWS experience. The role emphasizes production-grade Python services, cloud-native architectures, and robust APIs.

You will work with FastAPI, integrate LLM APIs, and deploy solutions on AWS, ensuring reliable, maintainable, and scalable software in a fast-paced team environment.

Qualifications

  • Proficient in Python programming and debugging.
  • Experience building production-grade AI-powered apps.
  • Familiar with cloud-native architectures and AWS.

Responsibilities

  • Design, develop, and optimize high‑performance Python applications and services.
  • Hands‑on experience with modern Python frameworks (FastAPI).
  • Build scalable Generative AI solutions (LLMs, RAG pipelines, copilots, automation workflows).
  • Develop reusable Python modules, libraries, and frameworks.
  • Integrate AI/ML models into production systems with robust APIs.
  • Deploy and manage applications on AWS infrastructure.
  • Write clean, efficient, well‑tested, and maintainable code.
  • Optimize applications for performance, scalability, and reliability.
  • Integration with LLM APIs.
  • Hands‑on experience on working with NoSQL databases (e.g. MongoDB).

Skills

Python
System design
Generative AI
APIs

Tools

FastAPI
MongoDB
AWS

Job description

We are looking for a highly skilled Python Engineer with hands‑on experience in Generative AI and AWS, capable of building scalable, production‑grade AI‑driven applications.

The role requires strong proficiency in Python programming, system design, and cloud‑native architectures.

Key Responsibilities:
  • Design, develop, and optimize high‑performance Python applications and services
  • Hands‑on experience with modern Python frameworks (FastAPI)
  • Build scalable Generative AI solutions (LLMs, RAG pipelines, copilots, automation workflows)
  • Develop reusable Python modules, libraries, and frameworks
  • Integrate AI/ML models into production systems with robust APIs
  • Deploy and manage applications on AWS infrastructure
  • Write clean, efficient, well‑tested, and maintainable code
  • Optimize applications for performance, scalability, and reliability
  • Integration with LLM APIs
  • Hands‑on experience on working with NoSQL databases (e.g. MongoDB)
Key Competencies:
  • Strong analytical and debugging skills
  • Ability to work in a fast‑paced, collaborative environment
  • Excellent communication and stakeholder management
  • Proactive learner with innovation mindset
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