Role Summary
We are seeking a highly skilled Generative AI Architect to design and build advanced AI systems for code generation, optimisation, and automation. This role focuses on developing end-to-end intelligent systems leveraging Large Language Models (LLMs), retrieval pipelines, and scalable back-end architectures to enhance developer productivity and modernise software development workflows.

Must-Have Qualifications
Expert in Python with robust proficiency in one or more programming languages; C, C++, Java, and JavaScript; deep understanding of DSA and OOP.
Deep understanding of transformer architectures, tokenization, embeddings, and code-specific LLMs (e.g., StarCoder, CodeLlama)
CodeGen Solutions: Designing, building, and deploying LLM-based applications for code generation, completion, and translation.
Team Leadership: Mentoring junior engineers, defining technical standards, and leading end-to-end development—from POC to production—while designing and delivering AI-powered systems for code generation and developer tooling.
Evaluation & Validation:



Developing evaluation suites to ensure the generated code is correct and safe.

Preferred Qualifications
Robust dataset engineering experience: building, cleaning, deduplicating, and structuring large-scale code datasets.
Experience with Hugging Face Transformers, LangChain, LlamaIndex, and vector databases
Robust experience in building RAG pipelines (chunking, retrieval, context optimisation)
Expertise in API design, micro-services, and scalable model deployment
Experience with evaluation systems (test generation, bench-marking, security validation)
Familiarity with Docker, Kubernetes, cloud platforms (AWS/GCP/Azure), and GPU orchestration

Expectations
Long-term thinker with a founder mindset
Ability to translate vision → architecture → working systems
End-to-end ownership across product, architecture, and execution
Experience in building scalable, production-grade systems
Comm

📌 Generative Ai Architect Bengaluru
🏢 HSL
📍 Bengaluru