[Hiring] Forward Deployed Engineer @Peakflo

Role Description

We are seeking a highly motivated and detail-oriented Forward Deployed Engineer (FDE) to join our dynamic team. In this role, you will bridge the gap between our core AI technology and real-world financial workflows. You will play a crucial part in developing, tuning, and implementing agentic machine learning solutions to drive business growth and optimize our products.

What you’ll do

• Voice AI & Prompt Engineering
  • Craft Voice‑Optimized Prompt Flows: Design conversational flows that account for natural speech patterns (pauses, interruptions, intonation) optimized for voice-only interactions. Ensure prompts are clear for TTS pronunciation to avoid ambiguity.
  • Continuous Refinement: Use LLM feedback loops and "self‑reflection" to score outputs, detect hallucinations, and improve prompts. Set up pipelines for A/B testing, prompt versioning, and performance QA tailored to financial use cases.
  • Voice Integration: Collaborate with engineering teams to integrate prompts with speech recognition, intent extraction, LiveKit voice infrastructure, and telephony APIs. Ensure orchestration maintains real‑time responsiveness and low latency.
• Agentic Architecture, LLMs & RAG
  • Build Hierarchical Workflows: Develop finance AI agents that coordinate sub‑agents (e.g., a Research Agent, a Finance Agent, and an Editor Agent) for scalability and modularity.
  • Model Optimization: Apply expertise in leading LLMs (Gemini, GPT series, Claude) to optimize our AI Finance Employee performance. Ensure low latency and high efficiency across all applications.
  • Grounding & RAG: Integrate retrieval-augmented generation (RAG) with enterprise knowledge bases and financial APIs to prevent hallucinations and maintain tight context control around business domains.
  • System Integration: Architect and integrate LLM systems with third-party tools, email interactions, and user chat interfaces. Develop complementary components like customizable OCR models.
• Data Analytics & Workflow Automation
  • Process Improvement: Analyze business processes, data quality, and operational bottlenecks to identify improvement opportunities and present actionable recommendations.
  • Automation & Reporting: Automate workflows, data transformations, and reporting using Python and SQL. Build and maintain dashboards and data monitoring frameworks.
  • Collaboration & Documentation: Work closely with product, engineering, and operational teams to define requirements. Document workflow logic, scripts, and solution designs clearly.

Qualifications

• Bachelor's or Master's degree in Statistics, Machine Learning, Data Science, Computer Science, or a related technical field.
• 0.5 – 2 years of industry experience with Machine Learning, NLP, LLM fine-tuning, and prompt engineering.
• Excellent written and verbal communication skills in English.

Requirements

• Strong proficiency in Python programming (specifically back-end development).
• Familiarity with cloud platforms (e.g., Google Cloud).
• Hands-on experience deploying or working with ML models in production environments.
• Excellent written and verbal communication skills in English; passionate about AI and its potential to transform business.

Benefits

• Competitive compensation package.
• Benefits package.
• Opportunity for rapid career growth and skill development.
• Collaborative and innovative work environment.
• Flexible work hours and remote work options.