Senior Engineer

About the job

About the Role: Grade Level (for internal use): 10 The Team: The team's mission is to design and integrate an intelligent AI Assistant, employing Generative AI technology, into our existing web application ecosystem. As a Senior Engineer, you will be a key technical contributor working alongside a diverse team of highly skilled engineers and data scientists who are passionate about utilizing cutting-edge technology to achieve transformative business outcomes. The Impact: With the advent of Generative AI, we are witnessing a paradigm shift in software development and business intelligence. This senior engineering role positions you at the forefront of our AI transformation initiative, where your technical contributions will directly shape the implementation of innovative solutions that deliver competitive advantage and transformative value to our customers across global markets. What's in it for you: Technical Excellence : Work with cutting-edge AI technologies and contribute to the architecture of next-generation AI applications Innovation Opportunity : Lead technical initiatives and proof-of-concepts that push the boundaries of AI integration Professional Growth : Gain deep expertise in AI/ML technologies while working on enterprise-scale challenges Technical Leadership : Mentor junior engineers and influence technical decisions across multiple projects Industry Impact : Build solutions that transform how businesses leverage AI for intelligence and decision-making Responsibilities: Technical Development Design and implement scalable AI components and services integrated with existing web applications Develop robust APIs and microservices for AI model deployment and orchestration Build and optimize data pipelines for AI model training and inference Implement best practices for code quality, testing, and documentation across AI projects AI Implementation Integrate Large Language Models and other AI services into production applications Develop prompt engineering strategies and optimize AI model performance Implement RAG (Retrieval-Augmented Generation) systems and vector databases Build monitoring and evaluation frameworks for AI system performance Technical Leadership Conduct code reviews and provide technical guidance to team members Drive technical design discussions and architectural decisions Research and evaluate emerging AI technologies for potential adoption Collaboration & Delivery Partner with Product Management and Data Science teams to translate requirements into technical solutions Collaborate with cross-functional teams to ensure successful AI feature delivery Participate in Agile ceremonies and contribute to sprint planning and estimation Support production deployments and troubleshoot complex technical issues What We're Looking For: Requirements-Education : Bachelor's degree in computer science, Engineering, or related field Experience : 6-9 years of software development experience with enterprise applications Programming Expertise : Strong proficiency in C# and .NET Core/Framework AI/ML Knowledge : 1+ years of hands-on experience with AI/ML technologies, including LLMs or machine learning frameworks Cloud Skills : Solid experience with AWS services (Lambda, SQS, API Gateway, S3) Frontend Development : Working knowledge of modern JavaScript frameworks (Angular, React, or Vue) Preferred Qualifications-AI Technologies : Experience with OpenAI API, Azure AI Services, or similar AI platforms AI Frameworks : Familiarity with LangChain, Semantic Kernel, or vector databases (Pinecone, Weaviate) Data Engineering : Experience with data pipeline tools and ETL processes DevOps : Knowledge of CI/CD pipelines, containerization (Docker), and infrastructure as code Testing : Experience with automated testing frameworks and AI model evaluation techniques Technical Competencies-Problem Solving : Strong analytical skills with ability to solve complex technical challenges System Design : Capability to design scalable, maintainable software architectures Communication : Ability to articulate technical concepts to both technical and non-technical audiences Learning Agility : Enthusiasm for continuous learning and staying current with AI advancements Quality Focus : Commitment to writing clean, efficient, and well-documented code

Requirements

• C#
• .NET Core
• AI/ML
• AWS
• JavaScript

Qualifications

• Bachelor's degree in computer science
• Engineering
• related field

Preferred Technologies

• C#
• .NET Core
• AI/ML
• AWS
• JavaScript

Benefits

• Health & Wellness
• Flexible Downtime
• Continuous Learning
• Invest in Your Future
• Family Friendly Perks
• Beyond the Basics

About the company

At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction.