About Bold Business

Bold Business is an AI-first U.S. based global workforce solutions company rebuilding how businesses operate in the AI era. We build AI-Amplified Talent™, custom AI agents, and automation systems for clients like AT&T, JP Morgan, and Verizon — and we back every engagement. If you want to build things that ship and matter, you'll fit right in.

The Role 

You are the technical standard-setter and primary builder for how AI systems are designed, built, and shipped at Bold.

You will:

• Architect systems
• Build them yourself
• Set the bar for everyone else

If you haven’t personally shipped production AI systems end-to-end, this role will not be a fit.

What You’ll Do

Build Real Systems

• Design and ship production RAG pipelines (end-to-end)
• Build multi-agent systems used by real clients
• Integrate LLMs into production workflows (not prototypes)
• Own backend systems (FastAPI, multi-tenant, secure)
• Deploy with Docker + CI/CD + cloud
• Measure and improve output quality before anything ships

Set the Standard

• Define how AI systems are built at Bold
• Establish architecture patterns, prompting standards, and data flows
• Own code quality and reviews — nothing ships without your approval
• Choose tools, frameworks, and infrastructure
• Mentor engineers and raise the performance bar across the team

Non-Negotiable Requirements

English communication — non-negotiable

• Advanced to fluent English — written and spoken
• Ability to explain technical concepts clearly to non-technical stakeholders: clients, founders, business owners
• Professional written communication across emails, Slack, documentation, and status updates
• Comfortable on video calls and async communication with a U.S.-based team

RAG (This Defines the Role)

• You have shipped 2+ production RAG systems (not demos)
• You can explain every decision (chunking, embeddings, retrieval, re-ranking)
• You’ve worked with vector databases in production
• You’ve debugged real issues (hallucination, low recall, bad retrieval)
• You’ve built multi-tenant systems with clean data separation
• You know how to measure and improve output quality

Core Engineering

• 5+ years Python in production
• 3+ years building AI/LLM systems used by real users
• LangChain / LangGraph in production (not tutorials)
• Experience designing multi-agent systems
• Strong backend experience (FastAPI or equivalent)
• Docker, CI/CD, cloud deployment
• Security fundamentals (auth, secrets, isolation)
• Strong written English (clear, direct, professional)
• Proven ability to set and enforce engineering standards

Strong Signals (Highly Valued)

• LlamaIndex, hybrid search, or re-ranking models
• RAG over complex data (PDFs, tables, images)
• Open-source LLMs (Ollama, vLLM)
• MLOps, evaluation, monitoring
• Voice AI pipelines
• Experience leading technical direction for a team
• Client-facing delivery experience

Who You Are

• You build and think in systems, not just features
• You don’t wait to be unblocked — you solve it
• You care about clean, scalable systems in production
• You can explain complex systems simply
• You push standards higher, even when it’s uncomfortable

Experience: 5–8 years
Proof: Live systems with real users (required)

How We Evaluate You

We will ask you to:

• Walk through a system you built in detail
• Explain your architectural decisions
• Build a working RAG pipeline
• Show how you think, not just what you know

Bold Business

AI-First. Standards-First. Delivery-First.
We build systems that ship, scale, and earn trust.

About Bold Business

Bold Business is an AI-first U.S.-based company building automation systems, AI agents, and production software for clients like AT&T, JP Morgan, and Verizon. We ship real systems that deliver impact — not experiments.

The Role

We’re hiring a Senior Python Engineer who can own both backend systems and the data layer behind them. This role sits between backend and data — you will build APIs, design pipelines, and ensure the data powering AI systems is clean and reliable.

You’ll work under a Lead Architect. You are expected to execute independently and own outcomes.

What You’ll Do

• Build and maintain production Python APIs (FastAPI or similar)
• Design and run data pipelines (ETL, ingestion, transformation)
• Own data quality — validation, monitoring, failure handling
• Structure data for RAG systems and AI agents
• Design and manage databases (PostgreSQL + vector DBs)
• Integrate external systems (APIs, webhooks, third-party tools)
• Debug across backend, data pipelines, and AI outputs

Non-Negotiables (Knockout Requirements)

You should not apply if you cannot clearly demonstrate all of the following:

1. Strong English communication (written and spoken)
   You can clearly explain technical concepts to non-technical stakeholders and operate in a U.S.-based team environment.
2. You have built and maintained production Python APIs
   (not tutorials or small scripts — real systems in use)
3. You have owned data pipelines end-to-end
   (ingestion → transformation → reliability in production)
4. You are strong in SQL and database design
   (schemas, performance, tradeoffs — not just basic queries)
5. You have worked with real, messy data
   (multiple sources, failures, edge cases — not clean datasets)

Required Skills

• Python (4–6 years, production backend + data work)
• FastAPI or similar frameworks
• Strong SQL and database design
• API integrations (REST, webhooks)
• Testing and clean Git workflows

AI / Data Context (Expected Working Level)

• LLM API integration (OpenAI, Anthropic, etc.)
• Understanding of how RAG systems use data
• Prompt structure and output handling
• Exposure to vector databases (pgvector, Pinecone, etc.)

Nice to Have

• LangChain, LangGraph, CrewAI
• Airflow, Prefect, or pipeline orchestration
• AWS / GCP experience
• Docker / CI-CD
• Basic BI / analytics tools

What This Role Is

• A hands-on builder role
• Ownership of backend + data layer
• High accountability, low hand-holding

What This Role Is Not

• Not a pure Data Engineer
• Not an ML research role
• Not a junior position

Final Note

• We will go deep into your past work.
• If you can clearly explain what you built, why you built it that way, and what broke — you’ll do well here.
• If not, this role will be a stretch.

Bold Business — AI-First. Delivery-First.