Senior AI Engineer
Qubrid is hiring a Senior AI Engineer to design and build end-to-end AI systems, including model deployment and autonomous agent orchestration. The role requires heavy focus on production-grade infrastructure, RAG, and agent frameworks using Python and PyTorch. Candidates must be comfortable working US-aligned hours and owning product roadmaps from an engineering perspective. This role offers high ownership in building a full-stack AI platform.
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Experience
3-5 years
Function
Engineering
Work mode
Remote, India
Company
Tier 2
What you will work on
Qubrid is hiring a Senior AI Engineer to design and build end-to-end AI systems, including model deployment and autonomous agent orchestration. The role requires heavy focus on production-grade infrastructure, RAG, and agent frameworks using Python and PyTorch. Candidates must be comfortable working US-aligned hours and owning product roadmaps from an engineering perspective. This role offers high ownership in building a full-stack AI platform.
TAL's take
Strong domain-specific role in AI with clear technical requirements and product ownership, though compensation is capped at a modest level.
Very well-defined responsibilities, technical stack, and expectations regarding the agent-based product focus.
Watchouts
- requires working late night India time until 3-4AM
- compensation cap explicitly stated
Must haves
- 3-5+ years in software engineering with focus on AI/ML
- Hands-on experience with LLMs or multimodal models
- Experience building AI agents or multi-step workflows
- Strong Python skills and familiarity with ML frameworks
- Experience with model deployment
- Experience with fine-tuning and quantization
- Understanding of prompt engineering and RAG
Tools and skills
Nice to have: langchain, llamaindex, vllm, tensorrt, onnx.
About the company
Global AI products and services company based in the US with India operations.