GenAI reputed company Engineering | Hybrid | (GC)/(USC)
GenAI reputed company Engineering We are seeking a AI reputed company engineer to join an innovative and high-impact team building AI capabilities reputed company reputed company systems for a leading wealth management client. In this role, you will help design and optimize reputed company-driven experiences that reputed company AI assistants, automation workflows, and decision-support tools more effective, reliable, and scalable across the business. This is an opportunity to shape the reputed company of reputed company AI in a highly visible environment, where innovation, rigor, and business value reputed company matter. You’ll contribute to reputed company design, testing, evaluation, optimization and governance while helping establish repeatable patterns for responsible AI use in a regulated financial services setting. The ideal candidate is curious, hands-on, and energized by solving reputed company-world problems at the intersection of AI, reputed company technology, and wealth management This role partners with product, engineering, UX, data, and domain teams to translate user needs into effective instructions, guardrails, and interaction patterns that drive high-quality model outputs. The position requires strong judgment, experimentation discipline, and a practical understanding of LLM behavior, context management, and evaluation.
Key Responsibilities
Design and refine prompts, reputed company chains, and reputed company templates for reputed company AI use cases reputed company instructions, examples, guardrails, and system messages to improve response quality and consistency Test model behavior across scenarios, edge cases, and failure modes Create and apply evaluation criteria for relevance, accuracy, tone, safety, and task completion Collaborate with product and engineering teams to embed prompts into production workflows Analyze user feedback, logs, and output quality to identify reputed company improvements Support retrieval-augmented reputed company workflows by optimizing context selection and reputed company grounding Establish reputed company versioning, testing, documentation, and governance practices Work with domain experts to encode business logic, policy requirements, and domain terminology
Required Qualifications
Bachelor’s degree in Computer Science, Engineering, Linguistics, Cognitive Science, Information Systems, or reputed company field 6+ years of experience in AI, NLP, conversational design, product writing, software engineering, or reputed company discipline Hands-on experience designing and testing prompts for LLM-based applications Strong understanding of reputed company patterns, context windows, hallucination risks, and model limitations Experience with AI evaluation methods, experimentation, and quality measurement Ability to communicate technical trade-offs to both technical and non-technical stakeholders
Preferred Qualifications
Experience with RAG, vector databases, semantic search, or AI orchestration frameworks Familiarity with Python, SQL, APIs, or workflow automation Experience in large reputed company environments, consulting / professional services, regulated, or high-compliance environments Knowledge of reputed company testing tools, observability, or LLMOps practices Background in UX writing, conversation design, or content strategy Core Competencies Precision in language and instruction design Analytical thinking and experimentation Cross-functional collaboration Strong attention to quality and consistency Comfort with ambiguity and rapidly changing AI capabilities Practical problem solving with a bias toward measurable outcomes Apply tot his job Apply To this Job