As Lead AI at Omaha, you will own our AI strategy end-to-end, from scraping and ingestion pipelines to LLM-powered features used daily by institutional investors. You will work directly with the CPO and engineering team to ship production-grade AI across four domains: data sovereignty, financial analysis, R&D support, and internal ops. This is a founding role: you set the direction, pick the stack, and build the foundation for everything AI at Omaha.

• Build and own scraping, parsing, and structuring pipelines for complex financial documents (annual reports, 10-Ks, PDFs at scale).

• Design and ship LLM-powered features: financial chatbot, semantic search, document understanding, and AI-assisted analysis.

• Architect and maintain RAG pipelines and embedding infrastructure on our GCP stack.

• Evaluate models, frameworks, and tools (open-source and proprietary) for cost-performance fit, and make the call.

• Empower the R&D team with purpose-built AI tools to accelerate their research workflows.

• Implement AI-driven ops workflows: lead scoring, content generation, dev productivity tooling.

• Run weekly POCs on emerging AI building blocks (LLMs, agents, multimodal) to identify future competitive advantages.

• Define quality and reliability standards for AI systems in a GDPR/DORA-compliant environment.

• Competitive salary, performance-based BSPCE

• Full remote in August and during Christmas holidays

• Real autonomy and direct impact on the company

• A collaborative, non-hierarchical environment

• Regular team events and activities

• Access to cutting-edge technology and tools

• 5+ years of software engineering experience, with at least 1 year shipping AI/ML systems in production.

• Strong Python skills and hands-on experience with the modern LLM ecosystem (OpenAI, Anthropic, Mistral, LangChain, LlamaIndex, or equivalents).

• Experience with RAG architectures, vector databases, and embedding pipelines.

• Proven ability to build and own a technical scope end-to-end, from prototype to production, without senior oversight.

• Track record of shipping AI features at scale, not just prototyping.

• Solid SQL and data engineering fundamentals.

• Proficient in English (written and spoken).

• Send us your application and resume

• Intro call with the CPO to discuss your background and fit for the role

• Technical interview with Tech team

• Technical interview with R&D team

• Come meet the full team in person

• Final decision and offer extended