Senior Software Engineer - AI

About the Role

Key Responsibilities

• Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
• Develop Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
• Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
• Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
• Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
• Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.

Requirements

• 7+ years of software engineering experience, including 2+ years working on AI-powered systems or products.
• Proficiency in Python and comfort with additional languages such as C#, SQL, or TypeScript/React.
• Hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and prompt engineering using LLM APIs.
• Experience productionizing applications and implementing CI/CD pipelines for reliable, scalable deployments.
• Skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
• Ability to communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
• A Bachelor's or Master's degree in computer science or relevant engineering field, or equivalent experience.

Nice to Have

• Experience with building from common ground to value in diverse teams.
• Ability to learn quickly and solve complex problems with creativity and pragmatism.
• Experience with enterprise data tools and frameworks related to AI and automation.

Benefits & Perks

• Competitive base salary ranging from $124,900 to $228,900 USD.
• Comprehensive healthcare (medical, dental, vision) with premiums paid in full for employees and dependents.
• Retirement benefits such as a 401k plan and company match.
• Short and long-term disability coverage, basic life insurance.
• Well-being benefits, tuition reimbursement, parental leave, sick time, vacation time (up to 120 hours first year, 160 hours thereafter), and around 13 paid holidays per year.
• Stock purchase plan at a discount, stock-based compensation, and other incentives.