We are seeking a Software Engineer, AI to build and scale cutting-edge AI features from the ground up. You will report directly to the Founder and CEO and play a pivotal role in defining how AI transforms our product, rapidly iterating based on customer feedback and pushing the boundaries of what's possible with LLMs.

What you will do - ship AI features end-to-end:

Build the next generation of AI features at AutoAssist, owning the full lifecycle from conception to production
Develop AI infrastructure that powers AutoAssist's features - prompt execution engines, search infrastructure, and orchestration layers
Improve LLM observability - design and implement AI evals (online and offline), scorers, and monitoring systems to set up AutoAssist's AI for the next wave of scaling
Enhance quality and performance of AI features through systematic testing, optimization, and real-world iteration
Architect AI-native workflows with intelligent automation and multi-agent orchestration
Integrate complex AI systems - LLM APIs, vector databases, embedding pipelines, and retrieval augmented generation (RAG)
Build analytics and intelligence layers that surface insights from AI-generated data

What we're looking for:

3+ years building production software with strong engineering fundamentals
Experience with AI/ML integration, LLM APIs, RAG architectures, and prompt engineering
Full-stack or backend expertise with modern tech stacks (we use React, Golang, Python, GraphQL, and AWS)
Proficiency in Python for AI/ML workflows - model integration, data pipelines, or ML tooling
Track record of shipping code efficiently and iterating rapidly based on user feedback
Autonomy-driven mindset - you thrive when you own the details and project manage your own work
You dislike meetings and would much rather focus your time on building, being productive, and shipping code
Self-aware about your strengths - you know what you're great at and what you're less great at, and you play to your strengths
Comfortable with ambiguity and building in a fast-paced, early-stage environment

Preferred Qualifications:

Experience with Next.js, TypeScript/Node.js (Bun), T3 Stack, tRPC, Prisma
Background in LLM fine-tuning, evaluation frameworks, or AI observability tools
Familiarity with Python AI/ML libraries (LangChain, LlamaIndex, OpenAI SDK, Hugging Face, PyTorch)
Experience with vector databases (Pinecone, Weaviate, pgvector) and embedding models
Familiarity with AI-assisted development tools (Cursor, Copilot, Lovable)
B2B SaaS or enterprise product development
Multi-tenant architecture and API design

Why this matters:

Direct impact on AI product strategy and technical direction
AI-first architecture from day one - no legacy constraints
Opportunity to build in a massive, underserved market where AI can be truly transformative
Ship features that reach users quickly and iterate based on real feedback

Don't think you meet all the qualifications? Apply anyway. We'd love to hear what excites you about building AI-native products.

Job Type: Full-time

Pay: $95,000.00 - $150,000.00 per year

Work Location: Hybrid remote in West Chester, PA 19382

AutoAssist

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