T

AI Python Developer / Python AI Engineer

techolution

Remote2–5 yrsSalary not disclosed
Full-timeRemote

Posted todayBe an early applicant

AI Python Developer / Python AI Engineer

Remote

JobSpri never asks you to pay for a job. If anyone does, it's a scam.

How well do you match this job?

Sign in to check your resume against this job and see the skills you're missing.

Experience

2–5 yrs

Salary

Not disclosed

Job type

Full-time

Openings

1

Education

Any graduate

Apply by

17 Nov 2026

Techolution seeks an AI Python Developer to build scalable microservices and AI-driven applications. The role focuses on backend development with FastAPI/Flask, data modeling with Pydantic, and integration of generative AI components such as LLMs, RAG, and vector databases. The candidate will also support cloud deployment on GCP/AWS, optimize performance with async programming, and collaborate on AI agent orchestration.

  • Develop, maintain, and optimize backend services and REST APIs using Python and FastAPI/Flask
  • Build modular, reusable microservices following OOP principles
  • Design data models, request/response schemas, and validation logic with Pydantic
  • Develop and integrate Retrieval‑Augmented Generation workflows using LLMs and vector databases
  • Build, customize, and integrate AI agents for business use cases
  • Implement data modeling and NoSQL database interactions; manage caching with Redis
  • Write asynchronous code for API calls, database operations, and LLM requests
  • Debug, optimize, and ensure reliability of services
  • Assist with cloud deployment, monitoring, and log analysis on GCP or AWS
  • Strong programming skills in Python with experience in FastAPI or Flask
  • Proficiency in Object‑Oriented Programming and modular design
  • Hands‑on experience with Pydantic for data validation
  • Knowledge of microservices architecture and service‑to‑service communication
  • Experience with NoSQL databases and Redis caching
  • Understanding of asynchronous programming (async/await)
  • Practical exposure to generative AI technologies: LLMs, RAG, embedding models, vector databases, and AI agent development
  • Basic familiarity with GCP or AWS, including deployment troubleshooting and log analysis

Skills

Get Career Updates

Stay Ahead in the
Jobspri Market

Join 50,000+ candidates receiving weekly job alerts, interview tips, and salary insights directly from top recruiters.

Weekly Alerts
No Spam
Resume Tips

By subscribing, you agree to ourTerms of ServiceandPrivacy Policy.