AI Engineer

This role involves optimizing AI models for production, building scalable systems for inference, and deploying cutting-edge research into real-world applications. The candidate will work on large-scale ML systems, focusing on performance, latency, and reliability.

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

• Optimize model inference with quantization and latency profiling
• Build production systems for AI models using vLLM and SGLang
• Own end-to-end ML pipelines from research to deployment

Required

• 2+ years building ML systems that ran in production, not only in notebooks
• Strong Python and PyTorch. You can read a model implementation and modify it, not just call .fit
• Hands-on experience with at least one modern inference stack (vLLM, SGLang, TensorRTLLM, or TGI) and a real understanding of what makes it fast
• Demonstrated fine-tuning experience — you've trained something, evaluated it properly, and know why your eval numbers meant what you claimed
• Comfort with GPU-level reasoning memory layout, precision trade-offs, where the bottleneck actually is

Nice to have

• Quantization experience beyond running an off-the-shelf script
• Real-time streaming systems WebRTC, low-latency audio/video pipelines)
• Indic language NLP multilingual tokenizer work, or code-mixed data
• Cloud GPU deployment on GCP, AWS, or RunPod — including the unglamorous parts

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

1. Check what they ask for. Read the requirements above: Flam asks for 2+ 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

10 Nov 2026, on LinkedIn

First seen by InternDoor

10 Nov 2026, within 43 minutes of being posted

Last checked

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

Application deadline

Flam has not stated one

Leaves InternDoor

By 10 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 Flam. Postings can close earlier, at any time.

InternDoor has recorded 4 engineering postings from Flam in India since Aug 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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