Lead Software Engineer, Gen AI

Role Overview

• Develop and deploy Gen AI solutions utilizing Python and OOP principles.
• Implement and manage CI/CD pipelines using GitHub Actions.
• Deploy solutions on AWS using CloudFormation.
• Work with frameworks such as LangChain, LangGraph, Semantic Kernel, and Crew.ai.
• Apply knowledge of Large Language Models (LLMs) and prompt engineering concepts.
• Develop and deploy services using FastAPI on AWS.
• Collaborate with data scientists to refactor analytics solutions for production, ensuring scalability and efficiency.
• Assist in the development of machine learning and AI pipelines using Apache Airflow.

Requirements

• Software Development: Knowledge of software development tools and activities; ability to produce software products or systems in line with product requirements.
• Software Development Life Cycle: Knowledge of the software development life cycle; ability to use a structured methodology for delivering and managing new or enhanced software products.
• Software Product Design/Architecture: Knowledge of software product design; ability to convert requirements into software product design.
• Software Product Technical Knowledge: Knowledge of technical aspects of a software products; ability to design, configure and integrate technical aspects of software products.
• Software Product Testing: Knowledge of software product testing; ability to design, plan, and execute testing strategies and tactics to ensure software product quality and adherence to stated requirements.
• Comfort planning, building, maintaining, and coordinating with others on large, complex projects.
• Software development experience and solid working knowledge of OOP principles
• Experience in designing and developing software applications in Python (nice to have experience: GoLang, frontend frameworks like React)
• Experience with Python libraries such as FastAPI, LangGraph, and LangChain
• Experience with modern Gen AI system architectures and techniques (multi agent, big tool, context management, MCP, long term memory)
• Experience working with Git version control on medium to large teams
• Exceptional communication skills with experience working on a cross-functional team
• Deploying software using GitHub Actions or similar
• Experience with AWS components such as SageMaker Studio, Lambda, API Gateway, and RDS
• Technical writing skills

Tech Stack

• Airflow
• Apache
• AWS
• Python
• React
• SDLC

Benefits

• Medical, dental, and vision benefits*
• Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
• 401(k) savings plans*
• Health Savings Account (HSA)*
• Flexible Spending Accounts (FSAs)*
• Health Lifestyle Programs*
• Employee Assistance Program*
• Voluntary Benefits and Employee Discounts*
• Career Development*
• Incentive bonus*
• Disability benefits
• Life Insurance
• Parental leave
• Adoption benefits
• Tuition Reimbursement