AI Full Stack Developer

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.