algojobs
Agent Software Engineer - New Grad (2026 Start)
algojobs, San Francisco, California, United States, 94199
About Decagon
Decagon
is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.
Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We\u2019ve raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.
We\u2019re an in-office company, driven by a shared commitment to excellence and velocity. Our values— customers are everything ,
relentless momentum ,
winner\u2019s mindset , and
stronger together —shape how we work and grow as a team.
About the Team The Agent Engineering team at Decagon deploys mission-critical AI agents to our customers that impact millions of users and directly drive Decagon\u2019s growth. You will build on our industry-leading AI agent platform, collaborate directly with customers and use your own creativity to devise long-term, scalable solutions.
Our mission is to deliver magical support experiences
AI agents working alongside human agents to help users resolve their issues.
About the Role On the Agent Engineering team, you\u2019ll have complete ownership and autonomy in building and shipping best-in-class AI agents, from initial implementation through continuous iteration. You\u2019ll work directly with leaders across industries like finance, healthcare, and hospitality, solving their users\u2019 needs with reliable and intuitive AI agents.
Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who dives deep into complex system challenges and builds elegant solutions that scale to millions of users.
This role is designed for candidates graduating between December 2025 a0 July 2026. We are an in-person company based in San Francisco and New York.
In this role, you will
Design and build AI agents that outperform human agents in managing complex customer interactions and driving customer retention
Identify cross-customer trends that guide the evolution of Decagon\u2019s agent building platform and research efforts
Experiment with and run evaluations on the latest text and voice models, then integrate them at scale with large enterprise-grade customers
Your background looks something like this
Pursuing or completing a B.S. (or higher) in Computer Science or a related technical field
Proficiency with Python, Typescript, and asynchronous programming
Track record of building and shipping high-quality products and features through coursework, internships, or personal projects
Excitement to thrive in a fast-paced environment, continuously learn, and sharpen your skills
Even better
Prior experience working with multi-modal models
Benefits
Medical, dental, and vision benefits
Take what you need vacation policy
Daily lunches, dinners, and snacks in the office to keep you at your best
Compensation $180K + Offers Equity
#J-18808-Ljbffr
is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.
Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We\u2019ve raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.
We\u2019re an in-office company, driven by a shared commitment to excellence and velocity. Our values— customers are everything ,
relentless momentum ,
winner\u2019s mindset , and
stronger together —shape how we work and grow as a team.
About the Team The Agent Engineering team at Decagon deploys mission-critical AI agents to our customers that impact millions of users and directly drive Decagon\u2019s growth. You will build on our industry-leading AI agent platform, collaborate directly with customers and use your own creativity to devise long-term, scalable solutions.
Our mission is to deliver magical support experiences
AI agents working alongside human agents to help users resolve their issues.
About the Role On the Agent Engineering team, you\u2019ll have complete ownership and autonomy in building and shipping best-in-class AI agents, from initial implementation through continuous iteration. You\u2019ll work directly with leaders across industries like finance, healthcare, and hospitality, solving their users\u2019 needs with reliable and intuitive AI agents.
Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who dives deep into complex system challenges and builds elegant solutions that scale to millions of users.
This role is designed for candidates graduating between December 2025 a0 July 2026. We are an in-person company based in San Francisco and New York.
In this role, you will
Design and build AI agents that outperform human agents in managing complex customer interactions and driving customer retention
Identify cross-customer trends that guide the evolution of Decagon\u2019s agent building platform and research efforts
Experiment with and run evaluations on the latest text and voice models, then integrate them at scale with large enterprise-grade customers
Your background looks something like this
Pursuing or completing a B.S. (or higher) in Computer Science or a related technical field
Proficiency with Python, Typescript, and asynchronous programming
Track record of building and shipping high-quality products and features through coursework, internships, or personal projects
Excitement to thrive in a fast-paced environment, continuously learn, and sharpen your skills
Even better
Prior experience working with multi-modal models
Benefits
Medical, dental, and vision benefits
Take what you need vacation policy
Daily lunches, dinners, and snacks in the office to keep you at your best
Compensation $180K + Offers Equity
#J-18808-Ljbffr