Job Description

About you

You're joining as a

Senior AI Founding Engineer

to take full ownership of our clients intelligent document automation systems from architecture to production deployment.

You've shipped real-world LLM features, worked across the modern AI stack (LangChain, Pydantic AI, vector DBs), and want to build fast for real business use cases -- not just prototypes.

You have a proven track record shipping LLM features into production with impact You architect and scale intelligent systems, not just fine-tune prompts You balance speed and rigor -- pragmatic about when to build vs buy You bring deep knowledge of the AI/ML toolchain and know how to apply it in the real-world You communicate clearly explain the "why" behind AI You're excited to own problems end-to-end with autonomy and urgency You're fine with ambiguity and can adapt as quickly as the stack (and business) evolves

What You'll Own

Architecting AI systems using Azure OpenAI, LangChain, Pydantic AI, multi-agent frameworks Designing new features for document understanding, classification and data extraction Building retrieval-augmented generation (RAG) systems to power intelligent workflows Architecting AI agent systems using CrewAI / Pydantic AI to automate business ops Crafting context-aware prompt engineering strategies for LLM workflows Collaborating closely with engineers to integrate models into production APIs Researching and evaluating new AI methods and tooling to drive efficiency Translating AI capabilities into product narratives that make sense to stakeholders

What You're Walking Into

Production AI systems processing thousands of documents daily A stack of LLM apps that need optimizing, scaling, and smart architecture Complex document pipelines pulling handling diverse formats Integration with 15+ business applications requiring intelligent data extraction Opportunities to lead on multi-agent workflows and novel RAG infrastructure A fast-growing AI-native company where your ideas ship fast and matter*

Our Must-Haves

6+ years of AI/ML experience with deep roots in NLP and document processing 2+ years of production LLM experience (GPT-3.5/4, Claude, etc.) 2+ years document processing like PDF parsing, OCR, text extraction, classification 2+ years experience with LangChain, LlamaIndex, or similar frameworks Strong Python skills with AI/ML libraries (TensorFlow, PyTorch, scikit-learn, transformers) Hands-on with PDF parsing, OCR, classification (pre-LLM experience welcome) Experience with vector DBs, embeddings, and RAG design and optimization Solid prompt engineering skills -- few-shot, CoT, multi-turn You've shipped AI models into production environments, not just notebooks

Bonus

Master's in AI/ML, Computer Science, or related field 2+ years with Azure OpenAI or AWS Bedrock Background in classic NLP with recent shift to LLMs Experience with document layout analysis, OCR, or lightweight computer vision Familiarity with vector databases (Pinecone, Weaviate, or ChromaDB) Early adopter energy -- you picked up LLMs early and ran with them Previous experience in document or business process automation

5 Reasons To Join

Architect the AI backbone of a platform used by top-tier finance pros and growing SMBs Own real LLM workflows; multi-agent systems, RAG, and intelligent document automation Build from zero: clean slate infra, no tech debt, full control Ride the inflection point: early customers, revenue, and serious demand Work in a high-frequency problem space: the kind AI is built for
Job Types: Full-time, Permanent

Pay: 80,000.00-100,000.00 per year

Work Location: Remote