Lead AI Engineer

• Lead the design and development of production-ready NLP and LLM-based algorithms, from data preprocessing to deployment.
• Drive and own the preprocessing pipeline, including data cleansing, normalization, tokenization, and annotation workflows.
• Design, test, and iterate on prompt engineering strategies to optimize LLM performance for specific tasks, including few-shot and zero-shot approaches.
• Implement and optimize retrieval-augmented generation (RAG) pipelines to enable context-aware generation and better factual grounding.
• Build and manage agentic LLM pipelines where models can interact with tools, APIs, and memory (e.g., via LangChain or custom frameworks).
• Provide technical leadership and mentorship to AI engineers: Delegate and review tasks; Conduct code and model reviews; Introduce best practices in ML workflows and documentation.
• Architect modular and scalable ML codebases to support long-term product evolution.
• Collaborate with the web development team to integrate ML APIs/services into the broader system architecture.
• Proactively identify and resolve bottlenecks, performance issues, or data quality challenges in collaboration with stakeholders.

HIRING TERMS:

• Full-time job
• Five-days working week
• Flexible working hours
• Medical insurance package (family cover)
• Push 30 (Wellness Program)
• Company-provided lunch

Interested candidates can apply via the link in the Apply for job button.