AI Full Stack Developer
Chennai · Mid Level
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What we know about this role
LOW
Our tracked job listings for automios show limited recent activity.
First 72 hours
Window passed - posted 21d agoEarly applicants get seen before the pile builds.
Not a repost
The first time we've seen this listing - it hasn't been closed and reopened.
Skills required
21 listedYou almost certainly match several of these already. Unlock your skill map to see the matches, the gaps, and what to fix first.
Job description
Required skills
| Area | Requirement |
| Languages | Python at expert level. TypeScript or JavaScript at working level. |
| ML stack | PyTorch, Hugging Face Transformers, TRL, PEFT, Accelerate, Datasets |
| Training | SFT, LoRA and QLoRA, distributed training, dataset curation |
| Alignment | Hands-on work in at least one of RLHF, DPO, GRPO, or RLVR, with measured results |
| Agents | Tool calling, MCP, agent loops, context management, agent evaluation |
| Inference | vLLM, TGI, or llama.cpp. Quantisation and latency tuning. |
| Backend | FastAPI, async Python, Pydantic, PostgreSQL, Redis |
| Data | Embeddings, vector databases, RAG pipelines, chunking strategy |
| Operations | Docker, Git, Linux, CI/CD, GPU basics (CUDA, VRAM planning) |
| Evaluation | Benchmarks, custom eval sets, LLM as judge, regression tests |
Good to have
- Federated learning, differential privacy, or other privacy preserving training methods.
- Custom CUDA or Triton kernels.
- Model distillation and model merging.
- Guardrails, red teaming, and jailbreak testing.
- Multimodal models: vision, speech, or document understanding.
- Open source contributions to any part of this stack.
- Experience with on-premise or air-gapped deployment.
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