[Hiring] Software Engineer | AI Search @8am

Role Description

8am is looking for a Senior Engineer to join our team of seasoned AI engineers who are delivering on the roadmap of AI features to enhance and expand our 8am suite of products. In this role, you will design and build AI-powered features that delight our customers, create new capabilities, and strengthen our platform. You will collaborate with engineers, product managers, and data scientists to bring cutting-edge AI into production, ensuring it drives meaningful business and customer outcomes.

What you'll do

• Collaborate with product managers and stakeholders to translate business problems into AI-powered search and retrieval solutions.
• Design and build hybrid search systems combining keyword search (BM25) and semantic/vector search to power intelligent discovery across large datasets.
• Develop and optimize retrieval pipelines used in RAG (Retrieval Augmented Generation) and AI-driven applications.
• Build scalable pipelines for document ingestion, indexing, embedding generation, and search ranking.
• Partner with the Data team to ensure the right data is collected, enriched, chunked, and indexed for retrieval systems.
• Design and implement AI-powered services that combine LLMs with search infrastructure.
• Write high-quality Python code to manipulate data, build search pipelines, and evaluate retrieval performance.
• Develop tools and infrastructure to support relevance tuning, search quality evaluation, and continuous improvement of ranking models.
• Work with our cloud operations team to deploy AI search services, monitor performance, and improve latency, relevance, and reliability.

Qualifications

• 5+ years of professional software engineering experience, ideally in backend systems or search infrastructure.
• Experience building search or retrieval systems for large document stores.
• Hands-on experience with Elasticsearch, OpenSearch, Solr, or similar search platforms.
• Experience implementing hybrid search combining keyword-based retrieval with vector embeddings.
• Strong Python or equivalent modern tech stack development skills.
• Familiarity with document processing pipelines (chunking, embeddings, indexing).
• Experience building scalable data infrastructure into production SaaS systems.

Nice to have

• Experience with vector databases (Pinecone, Weaviate, Milvus, FAISS).
• Experience tuning search ranking and relevance models.
• Background in information retrieval or search relevance engineering.
• Experience building RAG systems or AI agents.
• Experience working with LLMs and retrieval-augmented architectures.
• Familiarity with large-scale document processing (OCR, structured document extraction).
• Exposure to fintech or the legal industry.

Diversity, equity & inclusion at 8am

At 8am, we recognize that innovation occurs with a strong team of people who are diverse in background, personality, talent and ideas. Experience comes in many forms and ensuring a diverse and inclusive workplace where we continue to learn from each other is an integral part of our culture. We are committed to creating a welcoming and transparent environment for all that embraces those differences through education, equal access to opportunities and information, inclusionary programs, and community outreach.

Why 8am

At 8am, our culture is shaped by the people who bring it to life every day. Together, we build a company rooted in continuous learning, genuine community, holistic wellness, and meaningful engagement—values that empower us as individuals and unite us as a team. Our culture is grounded in our core values:

• Work Smart, Win Fast
• Outshine Ordinary
• We Find a Way

Security advisory

Our hiring teams at 8am are dedicated to recruiting top talent that share our passion for serving the professional services industry through innovative financial technology. As such, our Talent Acquisition Team only follows legitimate hiring practices. We will always communicate with our candidates using emails with the 8am domain and will never ask for sensitive/personal data during the application process. All interviews take place over phone call, Zoom/Google Meet or in person. All offers are communicated verbally by our Talent Acquisition Specialists with a written offer letter as a follow up.