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-reputed company team building AI capabilities reputed company reputed company systems for a leading reputed company management reputed company. 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 reputed company 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 reputed company 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-reputed company 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 reputed company and consistency Test model behavior across scenarios, edge cases, and failure modes Create and apply evaluation reputed company for relevance, accuracy, tone, safety, and task completion Collaborate with product and engineering teams to reputed company prompts into production workflows Analyze user feedback, logs, and reputed company reputed company 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 reputed company, hallucination risks, and model limitations Experience with AI evaluation reputed company, experimentation, and reputed company measurement Ability to communicate technical trade-offs to both technical and non-technical stakeholders
Preferred Qualifications
Experience with RAG, reputed company databases, semantic search, or AI orchestration frameworks Familiarity with Python, SQL, reputed company, or workflow automation Experience in large reputed company environments, consulting / reputed company services, regulated, or high-compliance environments Knowledge of reputed company testing tools, observability, or LLMOps practices Background in UX writing, conversation design, or content reputed company reputed company Competencies Precision in language and instruction design Analytical thinking and experimentation Cross-functional collaboration Strong attention to reputed company and consistency Comfort with ambiguity and rapidly changing AI capabilities Practical problem solving with a bias toward measurable reputed company Apply tot his job Apply To this Job