Forward Deployed Engineer

Recrew AI; Bengaluru; On-site; INR 400,000 - 700,000; Full time

Benefits offered by this job

Direct ownership of customer outcomes

Global deployment exposure

Startup pace with Series B backing

Autonomy to shape product and delivery

Job summary

Recrew AI is seeking a Forward Deployed Engineer to deploy AI agents inside customer environments, diagnosing workflows, and architecting integrations across systems. You will ship AI-driven solutions that transform enterprise operations while maintaining reliability and security.

You will partner with C-suite and IT teams, turning ambiguous problems into concrete designs and owning deliveries end-to-end with high accountability.

Qualifications

• 5+ years of software engineering experience with ownership of production systems.
• Strong software design fundamentals and systems thinking.
• Hands-on experience integrating LLMs into production systems.
• Proven experience integrating across REST APIs, webhooks, ETL pipelines.
• Ability to debug and operate production systems in varied environments.
• Experience working with enterprise customers or technical stakeholders.
• High-agency mindset to drive from problem to deployed solution.

Responsibilities

• Partner with enterprise customers to map critical workflows and success criteria.
• Architect integrations across legacy and modern systems within security constraints.
• Build and deploy AI-driven agents that operate across multiple platforms.
• Own deployments end-to-end, including reliability and incident response.
• Create playbooks from field learnings to improve the platform.

Skills

Production systems ownership

Software design fundamentals

LLMs in production

REST APIs integration

Enterprise stakeholder engagement

High-agency mindset

Job description

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