Generative AI Architect

Job Description

Must-Have Qualifications

• Expert in Python with strong 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

• Strong dataset engineering experience: building, cleaning, deduplicating, and structuring large-scale code datasets.
• Experience with Hugging Face Transformers, LangChain, LlamaIndex, and vector databases
• Strong 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
• Commitment to building something impactful, not just functional
• Strong decision-making under ambiguity and evolving requirements
• Bias for action—comfortable working in early-stage, unstructured environments

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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