---
title: 'AI Engineer - FDE (Forward Deployed Engineer) at Deductive AI'
canonical: 'https://feeny.ai/job/ai-engineer-fde-forward-deployed-engineer-deductive-ai-india-1sc21q7d0jem'
type: 'job'
last_seen: '2026-09-07'
---

# AI Engineer - FDE (Forward Deployed Engineer) at Deductive AI

- **Company:** Deductive AI
- **Location:** India
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2025-10-13
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/deductive/124b540e-f84f-46d5-9752-f151361b8223

## Job description

## ABOUT DEDUCTIVE AI

Deductive http://deductive.ai is building AI SRE Agents trusted by leading global software companies to troubleshoot and resolve complex production incidents. Our mission is to free engineers and organizations from the burden of constant firefighting, enabling them to focus on building and achieving their greatest potential.

We are a team of world-class AI researchers and engineers with backgrounds spanning UC Berkeley, IIT, Meta, Google, Amazon, Databricks, and ThoughtSpot. We combine deep academic research with hands-on industry experience to push the boundaries of what AI can do for reliability engineering.

## ROLE OVERVIEW

As a Forward Deployed Engineer, you’ll work directly with customers to help them realize the value of Deductive during POCs and rollouts. You’ll learn how their teams handle incidents and reliability challenges, then adapt and extend our AI platform to fit their needs. This role blends technical problem-solving with customer collaboration, configuring and fine-tuning Deductive to deliver clear, measurable outcomes. You’ll work closely with our Go-to-Market and Engineering teams, serving as the voice of the customer.

## WHAT YOU’LL DO

- Own and drive successful deployments of Deductive, guiding customers from scoping and integration through production readiness and measurable impact.
- Configure and optimize Deductive deployments to fit the use cases in customer environments and deliver value quickly.
- Act as a trusted technical partner to customers, helping them navigate observability and reliability challenges while shaping effective practices.
- Build automations and scripts that extend Deductive across observability platforms, codebases, and knowledge systems.
- Collaborate with Product and Engineering to translate customer insights into product enhancements and reusable best practices.

## WHAT WE’RE LOOKING FOR

- 3+ years of experience as Software Engineer, Platform Engineer or Site Reliability Engineer
- Strong fundamentals and expertise in cloud infrastructure (e.g. AWS, GCP, Kubernetes) and observability (e.g. Datadog, Grafana, Prometheus, OpenTelemetry)
- Strong programming skills to build automations using one or more scripting languages (e.g. python).
- Proven track record in fast-moving, ambiguous situations where both precision and urgency matter.
- Strong Plus: Experience working directly with customers in roles like Forward Deployed Engineer, Sales or Solutions Engineer.

## WHY JOIN US

At Deductive, you’ll have the opportunity to:

- Join a team of world-class researchers and builders.
- Help shape how AI transforms reliability and software engineering and make history.
- Work directly with some of the world’s most advanced engineering organizations.
- Be part of a fast-growing startup where your contributions directly shape the product and customer success.

We offer highly competitive compensation, equity, and benefits.

## About Deductive AI

## Company Overview
- **One-liner**: Deductive AI builds AI SRE agents that automatically detect, diagnose, and resolve software incidents by reasoning over code, telemetry, and system relationships.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: Mountain View, California, United States (with presence in London, United Kingdom)
- **Founded**: 2023
- **Founders**: Sameer Agarwal (Co-founder & CTO/CPO), Rakesh Kothari (Co-founder & CEO), and Ajeet Singh (Co-founder & Chairman)

## Core Business
- **Primary industry**: AI-powered Site Reliability Engineering (SRE) / Observability / DevOps
- **Target customers**: B2B, engineering teams at mid-to-large enterprises (e.g., DoorDash, Kumo AI)
- **Mission**: Help engineering teams break free from the endless cycle of debugging so they can focus on building and shipping great features; powering a future of autonomous self-healing systems.

## Products & Services
- **Deductive AI Platform (AI SRE Agents)**: A unified platform that connects to an organization’s code, logs, metrics, traces, and events. Uses agentic AI and reinforcement learning to generate hypotheses, test them against real system evidence, and surface precise root causes with actionable fixes. Available as SaaS or self-hosted. Built to resolve incidents in minutes rather than hours.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private).
- **Key Metric**: $7.5M in seed funding (announced November 12, 2025).
- **Notable Investors/Partners**: CRV (lead), Databricks Ventures, Thomvest Ventures, PrimeSet. Advisors include Ion Stoica (co-founder Databricks), Abhinav Asthana (CEO/co-founder Postman), Clint Sharp (SVP Engineering), Amit Singhal (former SVP Search), Ian Nowland (former SVP Engineering).
- **Growth Signals**: Official launch in November 2025; 12 employees (headquartered in Mountain View and London); LinkedIn followers 2,885 with +126% yearly growth; published case studies with DoorDash and Kumo AI; active job postings for AI Engineer and Software Engineer Intern.

## Competitive Advantages
- **Code-aware AI SRE agents** that understand entire systems via a continuously updated knowledge graph, going beyond traditional observability tools that only surface problems.
- **Reinforcement learning** trained to mimic the workflow of experienced SREs, enabling autonomous hypothesis testing and evidence-based root cause analysis.
- **Claimed 90% reduction in incident resolution time** — cuts investigation from hours to minutes.
- **Data isolation and security** — offers self-hosted deployment, does not store customer data on its servers, and does not use customer data to train models for others.

## Strategic Focus
- Expand AI agent capabilities to cover more complex, multi-service incidents and achieve full autonomous self-healing.
- Scale go-to-market: leverage strong advisor network and early enterprise customers (DoorDash, Kumo AI) to grow presence in the observability and DevOps space.
- Continue building out the engineering team, with open roles for AI engineers and interns.

## Why Work Here
- **Culture**: Early-stage startup (12 people) with a high-impact mission to “make code fix itself.” Team includes veterans from Databricks, ThoughtSpot, Google, Meta, Amazon, and Splunk. Emphasis on innovation and building large-scale AI platforms from the ground up.
- **Remote/Hybrid Policy**: Not explicitly stated, but HQ in Mountain View (US) and office in London (UK) suggests a hybrid/remote-friendly environment.
- **Notable Perks**: Not publicly detailed, but typical for well-funded seed-stage startups: equity, direct access to founders and advisors, fast-paced learning environment, opportunity to shape product and company culture.

## Sources
1. [deductive.ai](https://www.deductive.ai/)
2. [deductive.ai/about](https://www.deductive.ai/about)
3. [linkedin.com/company/deductive-ai](https://www.linkedin.com/company/deductive-ai)
4. [prnewswire.com](https://www.prnewswire.com/news-releases/deductive-ai-formally-launches-with-7-5m-funding-to-deliver-ai-sre-agents-that-cut-incident-resolution-time-by-up-to-90-302612544.html)
5. [jobs.ashbyhq.com/deductive](https://jobs.ashbyhq.com/deductive)

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