Senior Backend Engineer

Position Overview

• Location Type: Remote
• Employment Type: Full-time
• Salary: $130,000 - $210,000 (anticipated range)

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.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Statistics, Informatics, Information Systems, or a related field (preferred).
• 3+ years of experience in a software engineering role (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 (required).
• 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.

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.

Application Instructions

• (No specific application instructions provided in the job description.)