Full-Time GenAI Engineer

• Prompt Engineering & Enhancement: Design, extend, and customize system prompts; evaluate the impact of prompt changes and continuously improve LLM usage scenarios while analyzing risk and benefits.
• Experimental Feature Development: Conceptualize, prototype, and validate new GenAI features to extend system capabilities, including adapting for on-prem environments.
• LLM Evaluation & Tracking: Evaluate new LLM releases, monitor response quality and consistency, and assess relevance for various user tiers.
• Knowledge Sharing & Research: Stay up to date with the latest techniques in reasoning, chaining, and context optimization; contribute to AI Labs community discussions and share findings with the Data Science team.
• Python Development & Prototyping: Develop prototype and production-level Python code to support AI features, ensuring reliability and maintainability aligned with product requirements.
• LLM Integration & Optimization: Build solutions with frameworks like Langchain, implement advanced chatbot capabilities, and contribute to experimental extensions, often within on-prem infrastructures.

• 4+ years of experience with Python and its data science ecosystem (Pandas, NumPy, Scikit-learn).
• Proven experience in prompt engineering and LLM behavior analysis.
• Familiarity with LLM integration frameworks such as Langchain or similar.
• Experience in data curation, preprocessing, and tokenization for LLM training.
• Deep understanding of GenAI systems and their customization potential.
• Ability to translate product requirements into reliable, maintainable code.
• Experience with experimental feature development and technical feasibility evaluation.
• Excellent documentation and communication skills for sharing findings within a collaborative team.
• Hands-on experience working with PostgreSQL or similar relational databases.

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