Overview

Our client, a rapidly growing SaaS organization in the AI automation space, is expanding their engineering group and looking for a strong Software Engineer to help build and scale their next-generation AI-powered customer experience platform. This role sits on a small, high-performing team focused on applied large language model (LLM) systems, intelligent automation, and customer-facing product features that make enterprise support faster, smarter, and more intuitive.

Why It’s a Great Role

High visibility, direct collaboration with founders and product leaders, and the chance to shape early architecture for an AI-driven product that’s scaling quickly across enterprise clients. The environment is startup-fast but highly technical, with a big emphasis on ownership, creativity, and real-world impact.

Key Responsibilities

Design and deliver new AI features such as intelligent ticket routing, real-time language translation, and configurable automation workflows.
Enhance retrieval-augmented generation (RAG) systems, improving vector search, embeddings, and content ranking to boost performance.
Build internal frameworks and infrastructure to integrate multiple LLMs, streamline evaluation, and expand platform capabilities.
Work closely with customers and product managers to understand how support teams operate and deliver practical, high-value AI solutions.
Collaborate across engineering, research, and product groups in a fast-paced, highly iterative environment.
Contribute to technical design discussions, experimentation, and cultural growth within a team that values creativity, accountability, and technical depth.

Ideal Profile

5+ years of hands-on software engineering experience, ideally from smaller teams or fast-moving product organizations.
Proven track record of shipping impactful, customer-facing software end-to-end.
Exposure to LLM-based tools, RAG workflows, or AI agent frameworks.
Solid computer science fundamentals—data structures, APIs, distributed systems.
Entrepreneurial, highly adaptable, and motivated to build in an environment where the roadmap evolves quickly.
Strong communicator with a collaborative, growth-oriented mindset.

Nice to Have

Experience with NLP or ML-based product features.
Familiarity with tools like LangChain, vector databases, or prompt engineering concepts.
Prior work with startups or early-stage product teams.