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

Cloud Soft Solutions; United States; Remote; USD 10,000 - 13,000; Full time

Job summary

Peakflo, a Y Combinator company, is hiring a remote Forward Deployed Engineer in India to build voice and finance AI agents, RAG systems and Python/SQL automation.

Peakflo is a Y Combinator-backed company building AI for finance workflows. This Forward Deployed Engineer role is remote within India and full-time, with a posted salary of ₹10 lakh to ₹13 lakh per year.

Qualifications

• Bachelor's or master's degree in statistics, machine learning, data science, computer science or a related field.
• 0.5 to 2 years of industry ML/NLP/LLM experience.
• Strong back-end Python skills.
• Excellent written and spoken English.
• Hands-on experience deploying or working with ML models in production.
• Familiarity with cloud platforms such as Google Cloud.

Responsibilities

• Design prompt flows optimised for voice, covering speech input and text-to-speech output.
• Build finance-focused AI agents that orchestrate sub-agents.
• Implement RAG pipelines connected to enterprise knowledge bases.
• Automate workflows, data transformations and reporting using Python and SQL.
• Analyse business processes and data quality to find improvements.
• Gather requirements and write documentation with product, engineering and operations teams.

Skills

Python

SQL

NLP/LLM

English

Education

Bachelor's or Master's in Statistics/ML/DS/CS

Tools

Google Cloud

Job description

Peakflo, a Y Combinator company, is hiring a remote Forward Deployed Engineer in India to build voice and finance AI agents, RAG systems and Python/SQL automation.

Peakflo is a Y Combinator-backed company building AI for finance workflows. This Forward Deployed Engineer role is remote within India and full-time, with a posted salary of ₹10 lakh to ₹13 lakh per year.

The work covers prompt flows tuned for speech and text-to-speech, finance AI agents that coordinate sub-agents, and retrieval-augmented generation connected to enterprise knowledge bases. You will also automate workflows, data transformations and reporting in Python and SQL, analyse business processes and data quality, and work with product, engineering and operations on requirements and documentation. The posting lists 1+ years of experience, with 0.5 to 2 years of industry ML/NLP/LLM experience in the requirements.

This listing was verified on the employer's own careers page on 6 October 2026.

Responsibilities

• Design prompt flows optimised for voice, covering speech input and text-to-speech output
• Build finance-focused AI agents that orchestrate sub-agents
• Implement RAG pipelines connected to enterprise knowledge bases
• Automate workflows, data transformations and reporting using Python and SQL
• Analyse business processes and data quality to find improvements
• Gather requirements and write documentation with product, engineering and operations teams

Requirements

• A bachelor's or master's degree in statistics, machine learning, data science, computer science or a related field
• Around 0.5 to 2 years of industry experience with ML, NLP or LLMs
• Strong back-end Python skills
• Excellent written and spoken English
• Hands-on experience deploying or working with ML models in production
• Familiarity with cloud platforms such as Google Cloud

Why this role in 2026

This is an early-career FDE role that still involves production work: voice agents, multi-agent orchestration and RAG for finance use cases. Being remote with a published salary band makes it accessible to candidates across India. Many of the skills these roles call for, such as production LLM workflows, evals and customer-facing delivery, are covered in Cloudsoft's FDE PRO course.