Software Engineer - Product

AIDA projektai, MB; San Francisco (CA); On-site; USD 180,000 - 280,000; Full time

Job summary

AIDA projektai, MB in San Francisco is seeking a Product Engineer with 4+ years of experience to build and own AI-powered products that directly impact business KPIs. This is a fast-paced, product-driven role requiring rapid prototyping and shipping across the full stack.

You will work with sales, service, underwriting, and operations to translate business problems into scalable technical solutions, including RAG, AI agents, MCP, and workflow automation. On-site five days/week.

Qualifications

• 4+ years of software/product engineering experience.
• Strong hands-on engineering skills in Python and/or TypeScript.
• Experience building production AI/LLM applications (RAG, AI agents, MCP, automation).
• Strong product mindset with ownership of business outcomes/KPIs.
• Experience working with non-technical stakeholders.
• Ability to ship across the full stack in a high-speed startup.

Responsibilities

• Own one or multiple business KPIs end-to-end and drive improvements through technology.
• Work with non-technical stakeholders across sales, service, underwriting, and operations.
• Translate business problems into scalable product and engineering solutions.
• Design and build AI-powered and agentic systems (RAG, MCP, AI agents, automation).
• Build across the full stack and ship prototypes to production quickly.
• Prototype, ship, measure, and iterate rapidly.
• Support production systems and participate in on-call responsibilities.

Skills

Python

TypeScript

Product mindset

Stakeholder management

Full stack

AI/LLM development

Tools

Cursor

Claude Code

AWS

GCP

Job description

Location: San Francisco, CA

Work model: On-site, 5 days/week
Employment: Full-time
Experience: 4+ years
Base salary: $180K–$280K + equity + quarterly performance bonuses
Visa: Open to visa transfers (including OPT / H-1B transfers)

About the role

We are looking for a Product Engineer with 4+ years of experience to build and own AI-powered products that directly impact business KPIs.

This is a highly product-oriented engineering role: the engineer will work directly with sales, service, underwriting, and operations teams, identify business problems, turn them into scalable technical solutions, and ship extremely quickly.

The company operates at a very fast pace — prototypes and production features are expected to ship within hours or the same week rather than over long development cycles.

Key responsibilities

• Own one or multiple business KPIs end-to-end and drive measurable improvements through technology.
• Work directly with non-technical stakeholders across sales, service, underwriting, and operations.
• Translate business problems into scalable product and engineering solutions.
• Design and build AI-powered and agentic systems, including RAG, MCP, AI agents, and automation.
• Build across the full stack, rather than focusing exclusively on backend or frontend.
• Prototype, ship, measure, and iterate extremely quickly.
• Support production systems and participate in on-call responsibilities.

Must-have profile

• 4+ years of software/product engineering experience.
• Strong hands‑on engineering skills in Python and/or TypeScript.
• Experience building production AI/LLM applications, ideally including:
  • RAG
  • AI agents / agent frameworks
  • MCP
  • workflow automation
• Strong product mindset — comfortable owning a business outcome/KPI, not just completing engineering tickets.
• Experience working directly with business or non-technical stakeholders.
• Ability to work across the stack and independently take a problem from idea prototype production.
• Comfortable working in a very high-speed startup environment.
• Willing to work 5 days per week from the San Francisco office.
• Comfortable supporting live systems / participating in on-call.

Strong plus

• Experience with Voice AI.
• AWS and/or GCP.
• Experience using AI coding tools such as Cursor and Claude Code as part of the daily development workflow.
• Startup / early-stage company experience.
• Experience building internal tools or automation for sales, operations, underwriting, customer service, or other business teams.
• Insurance / InsurTech experience.

Tech stack

Core: Python, TypeScript
AI: RAG, Agent Frameworks, MCP, Voice AI
Cloud: AWS / GCP
AI development tools: Cursor, Claude Code

About the client

Our clientis an AI-native commercial E&S insurance brokerage founded in 2024. Its proprietary technology supports the brokerage workflow from prospecting and quoting through binding and servicing.

Team: ~60 employees
Industry: Insurance / AI
Funding: $47M
Location: San Francisco Bay Area

Interview Process:
AI Screening

Candidate Submission

60-min Remote Technical Screen

2–3h SF On-Site Super Day

Offer

Hire