AI Backend Engineer

This role involves developing backend services for AI products, focusing on microservices, API development, and AI agent integration. The candidate will work on scalable systems using Python, FastAPI, and cloud platforms, contributing to real-world AI solutions with measurable impact.

• Pay is stated up front: $900. Most postings never say.
• Remote. The posting is listed for India; check it for any limit on where you can live or which time zone you work in.

Summarised by InternDoor from techolution’s posting, in our own words. The posting itself is the source of truth, so check it before you apply.

• Develop scalable microservices and REST APIs using Python and FastAPI/Flask
• Build AI agents and integrate RAG workflows with LLMs and vector databases
• Work on cloud platforms like GCP or AWS for deployment and monitoring

Required

• Python Strong programming skills in Python and a solid understanding of software development fundamentals
• FastAPI/Flask Hands-on experience developing backend applications and REST APIs using FastAPI or Flask
• Object-Oriented Programming Strong understanding of Object-Oriented Programming (OOP), modular design, and reusable components
• Pydantic Experience with Pydantic or similar frameworks for data validation and serialization
• Microservices Understanding of microservices architecture and service-to-service communication
• Problem-solving Strong problem-solving, analytical, and debugging skills
• Generative AI Practical exposure to Generative AI technologies, including LLMs, RAG, embedding models, vector databases, and LLM/API integrations
• AI Agents Basic hands-on exposure to AI agents and orchestration, with an understanding of how agents can be developed or adapted for specific use cases
• Data Modeling Understanding of data modeling and NoSQL databases
• Redis Familiarity with Redis and caching concepts

Nice to have

• Asynchronous Programming Understanding of asynchronous programming in Python, including async/await
• Git Good understanding of Git and version control
• GCP/AWS Exposure to GCP or AWS, including basic deployment troubleshooting and log analysis

Read from techolution’s posting. Its own wording is the one that counts.

1. Check what they ask for. Read the requirements above: techolution asks for 1–4 years.
2. Tailor your resume to the role. Put the work that matches these skills first. InternDoor’s resume tailor does it against this posting.
3. Apply on LinkedIn. The application is on linkedin.com, not on InternDoor. We never ask for a fee.

Apply soon: postings like this can close without notice, and this one states no deadline.

Posted

12 Nov 2026, on LinkedIn

First seen by InternDoor

12 Nov 2026, within 1 minute of being posted

Last checked

12 Nov 2026: the posting was still in LinkedIn’s search results. We have not checked its application page.

Application deadline

techolution has not stated one

Leaves InternDoor

By 12 Dec 2026, our 30-day limit for LinkedIn listings, or sooner if the application closes

Application page

linkedin.com (Easy Apply)

What we checked, and what the dates mean

The date this listing leaves InternDoor is our own rule, not a deadline set by techolution. Postings can close earlier, at any time.

InternDoor has recorded 2 engineering postings from techolution in India since Nov 2026.

When this listing comes down, this address says the role has closed and lists open roles like it, instead of a dead end.

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