Remote Senior AI Software Engineer

Summary

Join Degreed's Client Experience team as a Lead AI Software Engineer to design and maintain client support workflows powered by AI, collaborating with cross-functional teams to deliver high-quality solutions. This role will be based onsite in Bengaluru, India, with hybrid work model and international travel requirements.

Requirements

• 3+ years at Senior or Staff level, or equivalent Software Development Experience
• Experience with Prompt Engineering with Large Language Models (LLMs), indicating the ability to effectively achieve complex use cases
• Deep knowledge of popular foundational models such as Llama, Mistral, OpenAI GPT, Google Gemini, Anthropic Claude
• Experience with LLM frameworks such as Langchain, LlamaIndex, Semantic Kernel
• Exposure to Agentic framework for LLMs
• Experience with client-side technologies such as React, Angular, Vue.js, HTML and CSS
• Experience with server-side technologies such as, Django, Flask, Fast API
• Experience with Cloud platforms and services (AWS, Azure, GCP) via Terraform Automation (good to have)
• 1+ years of Python
• Experience with Git for versioning and collaborating
• Experience with DevOps, CI/CD, Github Actions
• Experience implementation of large-scale structured or unstructured databases, orchestration and container technologies such as Docker or Kubernetes
• Strong interpersonal and communication skills, including the ability to explain and discuss complex engineering technicalities with colleagues and clients from other disciplines at their level of cognition
• Curiosity, proactivity and critical thinking
• Strong computer science fundaments in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance
• Strong knowledge in designing API interfaces
• Knowledge of data architecture, database schema design and database scalability
• Agile development methodologies

Responsibilities

• Design, develop, and maintain cloud-based AI applications, leveraging a full-stack technology stack to deliver high-quality, scalable, and secure solutions
• Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to define and implement analytics features and functionality that meet business requirements and user needs
• Utilize Kubernetes and containerization technologies to deploy, manage, and scale analytics applications in cloud environments, ensuring optimal performance and availability
• Develop and maintain APIs and microservices to expose analytics functionality to internal and external consumers, adhering to best practices for API design and documentation
• Implement robust security measures to protect sensitive data and ensure compliance with data privacy regulations and organizational policies
• Continuously monitor and troubleshoot application performance, identifying and resolving issues that impact system reliability, latency, and user experience
• Participate in code reviews and contribute to the establishment and enforcement of coding standards and best practices to ensure high-quality, maintainable code
• Stay current with emerging trends and technologies in cloud computing, data analytics, and software engineering, and proactively identify opportunities to enhance the capabilities of the analytics platform
• Collaborate with DevOps and infrastructure teams to automate deployment and release processes, implement CI/CD pipelines, and optimize the development workflow for the analytics engineering team
• Collaborate closely with and influence business consulting staff and leaders as part of multi-disciplinary teams to assess opportunities and develop analytics solutions for clients across a variety of sectors
• Influence, educate and directly support the analytics application engineering capabilities of our clients