Logo for Dehazelabs

Forward Deployed Engineer

Role overview

Qualifications

  • 0-1 year of experience building software or solving complex technical problems
  • Strong foundations in software architecture, system design, and production engineering
  • Experience working across APIs, integrations, data flows, and distributed systems
  • Genuine curiosity about applied AI and its potential to transform how businesses operate

Responsibilities

  • Embed with customers to understand their workflows, constraints, and measures of success
  • Turn loosely defined operational problems into clear technical plans and production systems
  • Design and build AI agents that integrate with customer tools, data, and business processes
  • Own deployments from prototype through launch, monitoring, and continuous improvement

Key facts

  • Remote from: India
  • Full time
  • Junior (1-2 years)
  • English

Hard skills

Other skills

  • Complex Problem Solving
  • Communication
  • Curiosity

About the company

Dehazelabs logo

Dehazelabs

Artificial Intelligence & Machine Learning Services

DeHaze Labs builds the telemetry, perception, and multimodal AI systems behind data centers, telecommunications networks, smart cities, and industrial operations. We ship the systems that turn AI from POC to production reality. Three practices, anchored in production deployments: → Data Center & Infrastructure AI — Real-time telemetry, observability, and agentic operations for GPU clusters, telecom networks, and critical infrastructure. Anchor work: real-time SIEM at telco scale and our own EdgeTelemetry product (GPU rack onboarding from weeks to hours). → Edge & Perception AI — Computer vision, sensor fusion, and ML inference for physical-world systems. Anchor work: smart-city perception data platform and AI/ML for logistics routes. → Multimodal Enterprise AI Platforms — End-to-end platforms for video, audio, and document intelligence at production scale. Anchor work: SponsorUnited (90%+ manual review reduction via CV + LLM validation pipelines). We embed engineers directly into customer teams. US-based partnership leadership, engineering bench across South Asia, and direct relationships in Indian manufacturing, the emerging Indian space sector, and the global capability centers in Bengaluru and Hyderabad. Talk to us: hello@dhlabs.ai Web: https://dhlabs.ai Blog: https://blog.dhlabs.ai

Company details

IndustryArtificial Intelligence & Machine Learning Services
Company size11 - 50

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

Forward Deployed Engineer

Location: Remote

Job Type: Full-Time

As a Forward Deployed Engineer at DehazeLabs, you’ll turn complex enterprise workflows into AI agents that work in the real world.

You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it.

You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results.

This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification.

What You’ll Do

  • Embed with customers to understand their workflows, constraints, and measures of success.

  • Turn loosely defined operational problems into clear technical plans and production systems.

  • Design and build AI agents that integrate with customer tools, data, and business processes.

  • Own deployments from prototype through launch, monitoring, and continuous improvement.

  • Test with real-world data, measure business outcomes, and iterate based on evidence.

  • Make pragmatic tradeoffs across architecture, reliability, speed, and user experience.

  • Partner closely with DehazeLabs Product and Engineering teams to improve the core platform.

  • Turn lessons from individual deployments into reusable tools, patterns, and best practices.

What We’re Looking For

  • 0-1 year of experience building software or solving complex technical problems.

  • Strong foundations in software architecture, system design, and production engineering.

  • Experience working across APIs, integrations, data flows, and distributed systems.

  • The ability to bring structure and momentum to ambiguous problems.

  • Confidence working directly with customers, from operational teams to technical stakeholders.

  • Clear communication, sound judgment, and a strong sense of ownership.

  • Genuine curiosity about applied AI and its potential to transform how businesses operate.

Nice to Have

  • Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role.

  • Experience building AI agents, workflow automation, or conversational systems.

  • Familiarity with LLM evaluation, observability, and reliability in production.

  • Experience deploying and improving systems in complex enterprise environments.


Candidate Privacy Notice

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
·

Related jobs

Other jobs at Dehazelabs

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.