AI Development Engineer
Proximity Works (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 25–40 LPA
Posted 14h ago
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Job description
Structured overview of role & requirements
About This Role
- Build and scale production agentic applications that integrate generative AI with traditional systems and microservices.
- Own the engineering controls around AI-generated solutions: clear specifications, code quality, security, validation, reliability, and observability.
- Improve operational and cost efficiency by optimising model and workflow choices, reducing technical debt, and supporting AI-assisted engineering practices.
Minimum Requirements
- Work Experience Required: 5+ years of hands-on experience and working knowledge of generative AI foundation models and LLM building blocks.
- Strong ML foundations, including core algorithms, neural-network architectures, model selection, tuning, and evaluation.
- Hands-on experience with ML frameworks or libraries such as PyTorch, TensorFlow, and Hugging Face.
- Experience with AI applications in at least one of text, vision, speech, audio, or video, and ability to turn complex requirements into specifications and validation workflows.
Ideal Candidate Profile
- Has experience applying LLM components such as prompting, RAG, transformers, tokenisation, attention, SFT, or RLHF to AI applications.
- Can bridge AI development and production engineering, with attention to maintainability, security, performance, reliability, and observability.
- Fits work that prioritises structured solution design and rigorous validation over implementation-heavy coding, while accounting for inference costs and business outcomes.