Senior/Lead Software Engineer - Agentforce Voice Agents

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Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Do you want to be a trailblazer of Artificial Intelligence in Salesforce? Are you excited to work on a product that uses the power of Salesforce Platform, Real-time Communication technologies and AI to make a direct impact to millions of users? Do you feel excited about a software development position that has the opportunity to collaborate with Einstein researchers and data scientists? If your answer is Yes, you need to check the Software Engineer openings in Agentforce team!

Agentforce 2.0 is the digital labor platform for enterprises, enabling a limitless workforce through AI agents for any department, assembled using a new library of pre-built skills, and that can take action across any system or workflow

We are growing rapidly and are looking for rockstars to help solve complex problems in this cutting-edge space. The Agentforce Planner team is looking for a technically strong, highly collaborative and accomplished Software Engineer to join our exceptional team of engineers. We work in a collaborative environment and we value transparent communication, critical feedback, passion, and having fun.


Responsibilities:

• Build, scale and maintain critical features of the Agentforce platform that are used by millions of end users
• Understand the customer/business requirements and translate them to elegant, flexible, and easy-to-use platform capabilities
• Participate in Software Design and Architecture discussions
• Drive the execution and delivery of features by collaborating with architects, product owners, engineers, user experience designers and data scientists
• Develop test strategies, design automation frameworks, write unit and functional tests to drive up code coverage and automation goals
• Lead and mentor junior members of the team
• Adopt, embrace, and promote agile and test-driven software development practices
• Be a multiplier and have a passion for the team and team members’ success
• Be a vocal advocate for technical excellence and help the team members make sound decisions

Basic qualifications and skills:

• A related technical degree required
• 5+ years of hands-on experience building, scaling and maintaining large scale, complex distributed systems in the B2B (or B2C) SaaS space that scale for millions of users and is available 24x7
• In-depth working knowledge of python
• Solid experience in developing/maintaining large scale microservices using public cloud technologies such as AWS, Azure, GCP, or Heroku
• Experience in REST based API development, API lifecycle management and/or client SDKs development
• Experience in test-driven development with focus on unit testing, integration testing and end-to-end automation
• Solid understanding of SDLC, and best practices in design, development, testing, and deployment
• Experience with Agile development methodologies, pair programming, continuous integration (CI) and continuous deployment (CD)
• Ability to support/resolve production customer escalations with excellent debugging and problem solving skills
• Strong verbal and written communication skills. Self driven with superior organizational and project management skills. Ability to work effectively in a distributed team setting
• Available for on-call support on a regular rotation basis

Required skills

• Experience with Python
• Experience with performance optimization (high load, concurrency optimization, etc.)
• Experience with integrating generative AI platforms

Nice to have skills

• Experience with ASR, TTS, Streaming, and Voice Technologies.
• Exposure to AI technologies such as Machine Learning and Deep Learning from a data engineering perspective, and experience working with data scientists in taking models to production
• Experience usin