Forward Deployed Engineer (FDE)

Round 1: Initial screening and technical theory → Round 2: Hands‑on technical interview → Round 3: Final technical interview with CTO and Co‑Founder → Round 4: Reference checks

Y Combinator fosters a fast‑paced, high‑impact environment where engineers are encouraged to ship quickly, iterate based on data, and learn from seasoned mentors. The culture emphasizes autonomy, continuous learning, and a strong focus on solving real problems, while maintaining a healthy work‑life balance through flexible remote policies.

Interviewing with Y Combinator‑backed companies typically involves a blend of technical screening, live coding, and system‑design discussions. The rounds are rigorous, focusing on problem‑solving speed, depth of AI knowledge, and clear communication. Candidates should practice coding on a whiteboard, review LLM integration concepts, and be ready to discuss past AI projects in detail.

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Machine Learning or a related technical field; minimum 60% aggregate (or equivalent CGPA); no active backlogs; eligible batch years are open (freshers can apply if they have strong AI project experience); strong command of English (written and verbal).

Peakflo is a Y Combinator‑backed startup that is redefining finance operations through Agentic AI. Founded by a team of seasoned engineers and finance experts, the company builds AI‑powered platforms that automate invoicing, cash‑flow forecasting, and vendor management for enterprises. Backed by Y Combinator, Peakflo enjoys a culture of rapid experimentation, deep technical mentorship, and a mission‑driven focus on delivering tangible business value. The firm operates fully remotely across India, giving its engineers the flexibility to work from any city while staying tightly connected through virtual collaboration tools. The Forward Deployed Engineer (FDE) role sits at the intersection of product, engineering, and client success. As an FDE, you will be the technical bridge that translates complex business problems into AI‑driven solutions. You will work closely with product managers, data scientists, and enterprise customers to design, prototype, and ship intelligent agents that automate real‑world finance workflows. This position is ideal for candidates who love building end‑to‑end systems, enjoy direct customer interaction, and thrive in a fast‑moving AI environment. **Key Responsibilities** 1. Design and implement AI agents and intelligent workflows powered by large language models (LLMs). 2. Create voice AI prompts, conversational flows, and text‑to‑speech pipelines for finance‑centric use cases. 3. Integrate GPT, Gemini, Claude, and other LLM APIs into internal and customer‑facing applications. 4. Build Retrieval‑Augmented Generation (RAG) pipelines to fetch enterprise data securely and augment model responses. 5. Write production‑grade Python code and SQL queries for automation, analytics, and reporting. 6. Develop API connectors to ingest data from ERP, CRM, and third‑party SaaS tools. 7. Optimize model outputs to reduce hallucinations, improve latency, and meet SLA requirements. 8. Collaborate with product, design, and operations teams to iterate on feature specifications and user feedback. 9. Document technical solutions, create knowledge‑base articles, and mentor junior engineers. 10. Participate in on‑call rotations to support deployed AI services for enterprise customers. **Tech Stack**: Python, FastAPI/Flask, SQL (PostgreSQL/MySQL), LangChain, LlamaIndex, GCP (Vertex AI, Cloud Functions), Docker, Git, CI/CD pipelines, Voice AI SDKs, and LLM providers (OpenAI, Google Gemini, Anthropic Claude). **Growth Path**: Starting as an FDE, you can progress to Senior AI Engineer, AI Solutions Architect, or Product Lead, gaining exposure to both deep technical challenges and strategic product decisions. The role offers a clear trajectory toward leadership in AI product development within a high‑growth startup. **Why Join Peakflo?** You will work on cutting‑edge generative AI technologies that have immediate impact on finance operations, receive mentorship from Y Combinator alumni, enjoy a fully remote work model, and earn a competitive compensation package of ₹10‑13 LPA. The company’s emphasis on learning, rapid iteration, and real‑world problem solving makes it an exciting place for ambitious engineers.