AI Solutions Engineer
2 weeks ago
Navi is a leading fintech company driven by a mission to deliver innovative, digital-first financial products that simplify access to personal and home loans, UPI, insurance, mutual funds, and gold. Leveraging its in-house AI/ML capabilities, technology, and product expertise, Navi aims to build delightful customer experiences.
Our Core ValuesAt Navi, we foster a culture of perseverance, passion, and commitment. Our team members are passionate about Navi's mission and vision, demonstrating dedication, perseverance, and high ownership. We strive for excellence in all aspects of work, efficiently managing time, prioritizing tasks, and achieving higher standards.
Navi GenAI TeamOur GenAI team is at the forefront of transforming the fintech landscape with state-of-the-art AI systems that redefine lending, insurance, investments, and more. We're a collaborative and forward-thinking team, continuously learning and growing professionally. Our expertise spans AI prompt engineering, data analytics, functioning of LLMs, and natural language processing.
We're looking for talented individuals to join our GenAI team and help shape the future of financial technology. If you're passionate about AI and fintech, and eager to contribute to pioneering breakthroughs, apply today
Requirements- Bachelor's or Master's degree in Engineering, Computer Science, or a closely related discipline.
- Up to 2 years of practical experience in Generative AI, prompt engineering, or closely related domains.
- Superior verbal and written communication abilities, coupled with expertise in constructing detailed and contextually relevant AI prompts.
- Competence in assessing the performance and accuracy of multiple Large Language Models (LLMs).
- Strong domain knowledge, with demonstrated interest in acquiring and applying industry-specific information, terminology, and trends.
- Proven proficiency in Python programming, with substantial experience in utilizing and integrating APIs; capable of developing scripts for automated testing and iterative processes.
- Exceptional analytical and problem-solving skills, with the ability to detect patterns, recognise biases, and ensure the generation of high-quality AI outputs.
- High-level critical thinking abilities for assessing AI-generated responses and refining prompts to achieve optimal performance.
- Commitment to continuous improvement, with a focus on refining prompts based on data-driven metrics and user feedback to enhance AI systems.
- Ability to brainstorm and develop solutions from a product standpoint.
- Understanding of fine-tuning strategies for LLMs is essential.
- Bonus: In-depth understanding of the operational aspects of large language models (LLMs).
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