Business Insight Analyst

What We Offer:At TaskUs, we prioritize our employees' well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover, we actively encourage internal mobility and professional growth at all stages of an employee's career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First.

Taskus | Full-Time |

About the job

Join our AI Solutions team to build cutting-edge applications powered by Large Language Models and other AI technologies for enterprise clients. You'll work closely with Technical Product Managers to transform client requirements into production-ready AI solutions.

This role combines software engineering excellence with practical AI implementation. You'll integrate LLMs into client systems, optimize performance, and deliver scalable solutions across various industries and use cases.

• Design and implement AI-powered features using LLMs and other machine learning models
• Develop proof-of-concepts and MVPs to demonstrate AI capabilities to stakeholders
• Optimize LLM performance including prompt engineering, response latency, and cost efficiency
• Implement evaluation frameworks and monitoring systems for deployed AI solutions
• Collaborate with Product Managers to translate client requirements into technical specifications
• Ensure code quality, security, and scalability in production environments
• Document technical implementations and create deployment guides for client teams

• Bachelor's degree in Computer Science or equivalent practical experience
• 3+ years of software engineering experience
• Strong proficiency in Python and modern web frameworks (FastAPI, Flask, Django)
• Experience with REST APIs and microservices architecture
• Understanding of cloud platforms (AWS, Azure, or GCP)
• Excellent problem-solving and debugging skills

• Experience integrating LLM APIs (OpenAI, Anthropic, Google Vertex AI)
• Familiarity with vector databases (Pinecone, Weaviate, ChromaDB)
• Knowledge of prompt engineering and LLM fine-tuning techniques
• Experience with containerization (Docker, Kubernetes)
• Background in client-facing or professional services roles
• Understanding of ML model deployment and monitoring