Forward Deployed Engineer (FDE) - (India/Remote)

Peakflo (YC W22); India; Remote; INR 800,000 - 1,200,000; Full time

Benefits offered by this job

Competitive compensation package

Benefits package

Opportunity for rapid career growth

Collaborative work environment

Flexible work hours and remote work options

Job summary

A dynamic tech company in India is seeking a highly motivated Forward Deployed Engineer to bridge AI technology and financial workflows. The ideal candidate will design conversational flows, optimize AI finance agent performance, and automate data reporting processes. A Bachelor's or Master's degree in a relevant field, along with 0.5 – 2 years of industry experience in machine learning, is required. This role offers a collaborative environment and competitive benefits, including flexible work hours.

Qualifications

• 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.
• Hands-on experience deploying or working with ML models in production environments.

Responsibilities

• Design conversational flows for voice interactions.
• Develop finance AI agents for improved modularity and scalability.
• Analyze business processes to identify improvement opportunities.
• Automate workflows and data reporting using Python and SQL.

Skills

Machine Learning

NLP

Prompt Engineering

Python programming

Education

Bachelor's or Master's degree in Statistics, Machine Learning, Data Science, Computer Science

Tools

Google Cloud

ML frameworks (e.g., LangChain, LlamaIndex)

SQL

Job description

🚀 Who We Are & What We’re Building

• Our Growth Story : Peakflo is backed by top-tier global accelerators and investors. We are proud alumni of the prestigious Y-Combinator (W22) and the Google AI Accelerator. Our momentum and impact have been recognized globally by top tech and finance publications:
• TechCrunch Exclusive: Peakflo’s bid to build business payments for Southeast Asia attracts capital, customers
• PYMNTS: Peakflo Raises $4.1M in Seed Funding to streamline vendor payments
• Grit Daily: Latest Feature on Peakflo's Innovations

Our Culture

We believe in building a vibrant, high-performance culture that rewards curiosity, ownership, and innovation. Our team spans the globe, and we love coming together to solve hard problems and celebrate our wins. Most importantly, we have begun building an environment that provides the support and mentorship needed to succeed, learn, and grow. ❤️

💻 What We’re Looking For

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.

🕵️♀️ Who We’re Looking For

• Education: Bachelor's or Master's degree in Statistics, Machine Learning, Data Science, Computer Science, or a related technical field.
• Experience: 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.
• Technical Skills: 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.
• Soft Skills: Passionate about AI and its potential to transform business.

➕ We’re Particularly Interested In People Who Have

• Experience with multiple LLM platforms and orchestration frameworks (e.g., LangChain, LlamaIndex).
• Familiarity with advanced Natural Language Processing (NLP) techniques and libraries.
• Strong knowledge of software engineering best practices and version control systems (Git).

🙂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.