Forward Deployed Engineer/Python (ONSITE IN SF) at PulseRise Technologies

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

31 Jul, 26

Salary

0.0

Posted On

02 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, API Integrations, Cloud Computing, LLM, Prompt Engineering, Agentic Systems, AI-assisted coding, Deployment, Backend Engineering, Client-facing, Solutions Engineering, Product Direction, System Architecture

Industry

Information Services

Description

Dear applicants, please keep in mind that applications without provided salary expectations and active LN profile will not be considered. Hope for your understanding. Location: San Francisco, CA Employment Type: Full-Time (In-person, relocation supported) Visa: Not available We are hiring a Forward Deployed Engineer to deploy multi-modal, agentic AI systems into production environments with measurable business impact. This is not a traditional implementation role. A high-growth Series A AI company rebuilding the foundation of the insurance industry. Multi-seven-figure ARR in under one year. Growing 50% month over month. Backed by Tier 1 investors. Elite technical team from top universities and high-performance engineering firms. Clear trajectory toward industry-defining impact You will: Own deployments end-to-end Shape product direction based on real-world usage Work directly with CTO and engineering Operate in founder-mode with high ownership You are not just integrating software — you are building, iterating, and evolving AI systems inside real enterprise environments. What You’ll Own Deploy agentic AI systems end-to-end (scope → build → integrate → go-live) Serve as primary technical point of contact for senior stakeholders Build and iterate AI agents (prompt engineering, model integration, multi-modal systems) Integrate APIs and enterprise systems hands-on Prototype rapidly using AI-assisted coding workflows Capture deployment learnings into scalable internal playbooks Feed production insights back into core product architecture Must-Have Requirements 5+ years in a hybrid technical + client-facing role (FDE, growth engineer, founder, solutions engineer + backend depth) Strong Python foundation API integrations + cloud fluency Practical LLM / prompt engineering experience Familiar with agentic systems Uses AI-assisted dev tools daily Founder-mode ownership mindset Willing to relocate to SF and work in-person Nice to Have Prior FDE at top AI company Agent engineering background Founding engineer / founder experience Competitive programming / ICPC / NeurIPS background Backend engineering + strong client-facing depth

Responsibilities

You will own the end-to-end deployment of multi-modal, agentic AI systems into production environments. This involves building and iterating AI agents while serving as the primary technical point of contact for senior stakeholders.