Job description
Launched in 2018, Forethought is the first AI-native platform for enterprise customer support, built on a multi-agent architecture for omnichannel resolution. Trusted by leading companies like Upwork, Grammarly, Airtable, and Datadog, Forethought’s AI agents resolve billions of monthly support issues. The company has raised $115M+ in venture funding from top investors, including Blue Cloud Ventures, NEA, Village Global, and Sound Ventures, G2 has recognized Forethought as a High Performer in 2024 and Mid-Market Leader, Best Est. ROI, and Easiest to Do Business With in Customer Support for 2025.
We’re looking for talented Backend Engineers with a growth mindset—engineers who thrive on solving complex challenges and want to help shape the future of AI-driven customer support.
As an engineer on the team, you’ll play a critical role in designing, building, and deploying AI-powered features that directly impact how users experience and interact with our platform. You’ll work across systems leveraging state-of-the-art tools and infrastructure to deliver intelligent, scalable customer support solutions. Our tech stack leverages modern technologies, including Docker, Kubernetes, Redis, MongoDB, and ElasticSearch.
What You’ll Be Doing (Responsibilities):
- Design and build backend services that power Forethought’s core AI features, directly impacting the customer experience across our platform.
- Collaborate with product and design teams to translate user needs into scalable backend solutions that enhance customer support automation.
- Scale and optimize our product to handle over 1 billion monthly interactions, ensuring high performance, reliability, and efficiency across all customer touchpoints.
- Partner with AI/ML engineers to integrate LLM-based capabilities into production workflows, with a focus on reliability, observability, and speed.
- Drive technical excellence by owning projects end-to-end—from architecture and implementation to deployment and monitoring.
Who You Are (Requirements):
- A Bachelor’s or Master’s degree in Computer Science, Statistics, Informatics, Information Systems, or a related field is preferred.
- Demonstrated 3+ years of experience in a software engineering role is required.
- Expertise in Python is essential with proficiency in one of the mainstream Python frameworks (FastAPI/Django/Flask)
- Proven experience in constructing large-scale distributed systems is necessary.
- Ability to craft high quality, well-tested code to address customer requirements.
- Experience with MongoDB, Redis, and Elasticsearch is preferred.
- Experience working with generative AI frameworks (e.g., LangChain, RAG pipelines, multi-agent systems) is a plus.
- Familiarity with integrating and building applications on top of large language models (e.g., OpenAI, Anthropic, open-source LLMs) is highly valued.
**The anticipated salary range for this role based on location, and experience will be approximately $130,000 - $210,000 (base). This amount does not include bonuses or equity that will also be included in the offer. Applications will be accepted from Toronto, Canada, Texas, Utah, New York, New Jersey, California, Nevada, Illinois, Virginia, Pennsylvania and Colorado.
