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

About the role

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.

<p>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.</p><p>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.</p><p>This listing was verified on the employer's own careers page on 6 October 2026. Please read the full posting and apply directly on the employer's site; Cloud Soft Solutions does not handle applications for this role.</p>

Responsibilities

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

Requirements & qualifications

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

Why this role in 2026

<p>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 <a href="/programs/fde-forward-deployed-engineer-course/">FDE PRO course</a>.</p>

Application tips

<ul><li>Show a RAG or agent project you built, ideally one connected to real documents or business data</li><li>Include Python back-end and SQL work, such as automated reports or data pipelines</li><li>Mention any speech, text-to-speech or voice bot experience</li><li>Point to any ML model you deployed or supported in production, even a small one</li><li>Keep your application clearly written, since the posting stresses strong written and spoken English</li></ul>

Interview preparation

<p>Expect to discuss how you would design a RAG system over a company knowledge base, structure an agent that delegates to sub-agents, and keep voice prompts short and robust. Practise Python and SQL problems based on data transformation and reporting. Useful reading: our <a href="/interview-questions/rag-interview-questions-2026/">RAG interview questions</a>, <a href="/interview-questions/agentic-ai-interview-questions-2026/">agentic AI interview questions</a> and the <a href="/blog/fde-engineer-skills/">FDE engineer skills guide</a>.</p>

Career growth

<p>Early exposure to voice AI, agents and RAG in a customer-facing setting builds the core skills used in more senior forward deployed and applied AI engineering roles.</p>