Forward Deployed Engineer

Job not on LinkedIn

🔥 2 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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DehazeLabs

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2017

🤖 Artificial Intelligence

💳 Fintech

Artificial Intelligence • Data Engineering • Fintech

DehazeLabs is a technology company specializing in the development and management of intelligent AI agents designed to enhance operational efficiency and decision-making for businesses, ranging from startups to large enterprises. With a strong focus on data engineering and custom AI solutions, DehazeLabs empowers organizations to leverage their data for actionable insights and improved workflows. Their innovative services also extend to MLOps, edge computing, and advanced analytics, ensuring clients can navigate complex data challenges effectively.

📋 Description

• 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

🎯 Requirements

• 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 • 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 • Nice to have: Experience building AI agents, workflow automation, or conversational systems • Nice to have: Familiarity with LLM evaluation, observability, and reliability in production • Nice to have: Experience deploying and improving systems in complex enterprise environments