Reports To: Vice President
Department: Investment Research
Location: New York City – Hybrid (3 days in office)
Evalueserve is a leading global company that develops innovative and sustainable solutions for a wide range of clients, including more than 30% of the Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, domain-specific AI solutions, and deep subject matter expertise to elevate our clients' strategic decision-making and business impact. Our clients include Amazon, Deutsche Bank, Johnson & Johnson, McDonald's, Microsoft, Morgan Stanley, Nestlé, Novo Nordisk, and Procter & Gamble.
We have 4,500+ talented professionals operating across 45 countries, including India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets such as Colombia, the Middle East and the rest of Asia-Pacific.
Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK, we offer a dynamic, growth-oriented, and open culture that prioritizes flexible work-life balance, diverse and inclusive teams, and equal opportunities for all.
Watch this video to understand what it means to Elevate Your Impact at Evalueserve!
Key Responsibilities
• Work directly in support of our client, in crafting and refining prompts to effectively interact with
Large Language Models (LLMs) and guide AI models.
• Design and develop effective prompts to interact with LLMs.
• Test and refine prompts on model responses and specific use cases and requirements.
• Collaborate with data scientists and developers.
• Analyze and interpret model outputs to improve prompt design.
• Ensure that prompts adhere to legal and compliance mandates, ethical guidelines, and cultural
sensitivities.
• Provide expertise in NLP and AI interactions.
• Document prompt design strategies and guidelines for various use cases
• Works closely with SMEs and domain experts to ensure prompt relevance and accuracy.
• Adapt prompts for different languages, audiences and cultural contexts if required.
• Keep up-to-date on the latest developments in AI and language models.
• Over time build a basic understanding of the investment research domain.
Required Qualifications
• At least 3+ years of experience/background in AI, machine learning, and LLMs
• Experience in NLP techniques
• Familiarity with programming languages used in the LLM ecosystems (Python)
• Ability to communicate with technical and non-technical stakeholders
• Collaborative work
• Strong analytical skills and superb attention to detail
• Creativity and innovation in problem-solving
• Understanding of ethical and compliance considerations for AI and NLP
• Ability to work in a fast-paced environment
• Basic understanding of financial research or some experience in the financial services industry is
highly preferred, but not mandatory.
• Bachelor's degree in related subject.
