# Forward Deployed Engineer

## Summary
- Organization: Recrew AI
- Location: Bengaluru, Karnataka, India
- Type: Full-Time
- Department: N/A
- Status: active
- Posted: [object Object]
- Updated: [object Object]
- Closing Date: N/A
- External Apply: Yes
- External Apply URL: https://talent.recrew.ai/careers/forward-deployed-engineer-7330b0/apply/

## Details
- Salary: N/A
- Experience: N/A
- Education: N/A
- Team: N/A
- Reporting To: N/A

## Description
**About the job**

Role: Forward Deployed Engineer

Function: Engineering / AI Deployment

Location: Bangalore

Type: Full-time

Industry: Information Technology & Services, Computer Software

**About Company**

The company is an applied AI partner for forward-thinking enterprises. It combines a multi-model AI platform with local deployment teams to accelerate AI adoption.

Founded in 2025, the company operates across 35+ global markets. It delivers production-grade AI agents in weeks — even in regulated or non-English environments.

The company is Series B funded and backed by Index Ventures, Insight Partners, IVP, and Bessemer Venture Partners. Its culture is fast-paced, ownership-driven, and high-accountability.

**Position Overview**

As a Forward Deployed Engineer, you sit at the intersection of deep technical execution and enterprise partnership — owning AI agent deployments from first principles through measurable production outcomes. You'll work directly inside customer environments to diagnose complex operational workflows, architect integrations across legacy and modern systems, and ship AI-driven solutions that transform how enterprises operate. This role carries both the autonomy of a founder and the accountability of a production engineer.

**Role & Responsibilities**

- Partner with enterprise customers to map critical workflows, define success criteria, and translate ambiguous operational problems into concrete technical designs
- Build and deploy AI agents that integrate with customer systems — spanning legacy CRMs, voice platforms, email, and back-office infrastructure — within security and compliance constraints
- Use spec-driven development to orchestrate fleets of agents simultaneously, managing complex multi-system builds at speed
- Own deployments end-to-end: reliability, performance monitoring, incident response, and continuous iteration based on real production data
- Act as a technical founder within customer environments — creating playbooks where none exist and converting field learnings into platform improvements
- Navigate C-suite conversations and IT architecture sessions in the same day, bridging business context and technical depth
- Collaborate with Product and Engineering to feed customer insights back into core platform features and scalable delivery tooling


**Must Have Criteria**

- 5+ years of software engineering experience with demonstrated ownership of production systems
- Strong software design fundamentals and systems thinking — able to architect solutions across unfamiliar stacks and environments
- Hands-on experience integrating LLMs into production systems (prompt engineering, tool use, agent orchestration, or evaluation pipelines)
- Proven experience building integrations across heterogeneous systems and data flows (e.g., REST APIs, webhooks, ETL pipelines)
- Demonstrated ability to debug and operate production systems in environments you don't fully control
- Track record of working directly with enterprise customers or technical stakeholders, owning ambiguous problem scopes end-to-end
- High-agency mindset — able to drive from problem definition to deployed solution without waiting for perfect requirements


**Nice to Have**

- Prior experience in forward-deployed engineering, solutions engineering, or implementation consulting roles
- Exposure to AI agent frameworks, automation pipelines, or conversational systems (voice, chat, or email)
- Experience operating production systems in regulated or compliance-heavy enterprise environments


**What We Offer**

- Direct ownership of customer outcomes — your work is the difference between a failed pilot and a production system at scale
- Exposure across 35+ global markets and enterprise verticals, with a hyper-local deployment model
- Startup pace with Series B resources — backed by Index Ventures, Insight Partners, IVP, and Bessemer
- High-reward environment with significant autonomy and a clear path to shaping both product and delivery playbooks

## Responsibilities
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## Skills
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## Tags
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## Organization
- Name: Recrew AI
- Website: https://www.recrew.ai
- Industry: Staffing and Recruiting
- Size: 11-50 employees
- Founded Year: N/A
- Description: Recrew is a recruiting company built for how talent acquisition should work, not how it has always worked.

We combine proprietary AI agents with a curated network of specialist recruiters to deliver full-service hiring for startups, mid-market companies, and Global Capability Centers. No retainers or bloated teams, just mandates filled with the right people.

The traditional recruiting agency model is broken. Incentives are misaligned, pipelines are thin, and most firms sell you a team that is learning on your dime. We built Recrew to fix that by screening at scale with human recruiters who have earned their stripes in specific industries and functions.

Our model is simple: We only win when you make a hire. That keeps us honest.

We also build the AI infrastructure that powers recruiting at scale. Our API-based products handle resume parsing, job description analysis, and candidate matching using large language models built for the specific demands of talent acquisition. Recruiters, ATS platforms, and staffing firms use our technology to screen faster, match more accurately, and reduce the manual work that slows down every hiring team.

We work with companies that care about hiring quality and hiring speed. Whether you need a recruiting partner to fill critical roles or AI tools to power your existing team, Recrew is built for both.

Visit www.recrew.ai to see the platform or book a conversation with our team.