--- title: 'Forward Deployed Engineer at Dehazelabs' canonical: 'https://feeny.ai/job/forward-deployed-engineer-dehazelabs-india-cydmtdsxbdw2' type: 'job' last_seen: '2026-09-12' --- # Forward Deployed Engineer at Dehazelabs - **Company:** Dehazelabs - **Location:** India - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-09-08 - **Last confirmed live:** 2026-09-12 - **Apply:** https://jobs.ashbyhq.com/dehazelabs/ea694dfe-53fa-4083-839e-950d6992c88b ## Job description Forward Deployed Engineer Location: Remote Job Type: Full-Time DehazeLabs is an Anthropic service partner building AI agents that solve real problems inside real enterprises. 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 ## About Dehazelabs ## Company Overview - **One-liner**: DehazeLabs is an AI agent management and data engineering company that helps businesses deploy production-ready AI systems across data centers, edge environments, and enterprise platforms. - **Entity Type**: Private (Privately Held; no public funding rounds disclosed) - **Headquarters**: San Francisco, California, United States (also listed as Newark, Delaware for legal registration) - **Founded**: 2017 - **Founders**: Not publicly available ## Core Business - **Primary industries**: AI/ML services, data engineering, edge computing, computer vision, multimodal AI. Serves technology, financial services, healthcare, retail, manufacturing, and logistics sectors. - **Target customers**: B2B enterprise and mid-market organisations needing custom AI solutions, data infrastructure, and AI agent management. - **Mission**: “Pioneering Innovation with Advanced AI Solutions” – turning AI proofs-of-concept into production reality through telemetry, perception systems, and multimodal platforms [builtin.com](https://builtin.com/company/dehazelabs). ## Products & Services - **Data Engineering**: Transforms complex datasets into actionable insights using Snowflake and the modern data stack [dehazelabs.com](http://dehazelabs.com/). - **Gen AI / LLMs**: Provides large language model deployment, generative AI, and RAG (retrieval-augmented generation) solutions. - **Custom AI Solutions**: Bespoke AI platforms built for specific business processes, including computer vision and sensor fusion. - **Edge Computing**: Deploys real-time AI inference at the edge for low-latency decision-making and data privacy. - **MLOps & AI Platform Management**: Manages AI pipelines on Snowflake and other infrastructure, simplifying model operations. - **BreakFixBot**: Automated incident resolution tool (mentioned on website). - **Staffing & Onshore/Offshore Engineering**: Embeds engineers directly into customer teams, with a US-based partnership leadership and engineering bench across South Asia [dhlabs.ai blog](https://blog.dhlabs.ai). ## Market Standing - **Valuation/Market Cap**: Not disclosed. - **Key Metric**: ~18 employees (+4.5% YoY growth); no public revenue figures. - **Notable Investors/Partners**: Not publicly listed. - **Growth Signals**: Yearly headcount growth of +4.5%, expanding service lines (edge AI, multimodal platforms), direct relationships in Indian manufacturing, space sector, and global capability centers in Bengaluru and Hyderabad [linkedin.com](https://www.linkedin.com/company/dehazelabs). ## Competitive Advantages - **Production-first approach**: Focuses on deploying AI from proof-of-concept to live environments (e.g., GPU rack onboarding reduced from weeks to hours with EdgeTelemetry). - **Three anchor practices**: Data Center & Infrastructure AI, Edge & Perception AI, and Multimodal Enterprise AI Platforms – covering the full stack of AI deployment. - **Embedded engineering model**: Engineers work inside customer teams, reducing integration friction. - **Global talent distribution**: US-based leadership with a strong engineering bench in South Asia, giving cost-effective scale. - **Cross-sector experience**: Proven work in telecom (real-time SIEM), smart cities, logistics, and sports sponsorships (SponsorUnited reduced manual review by 90%+) [dhlabs.ai blog](https://blog.dhlabs.ai). ## Strategic Focus - **Current priorities**: Scaling edge AI and agentic operations for GPU clusters, telecommunications, and smart-city infrastructure; expanding multimodal AI platforms for video, audio, and document intelligence. - **Direction**: Building reusable AI agent frameworks and telemetry products (e.g., EdgeTelemetry) to shorten deployment cycles for new customers. - **Talent**: Growing engineering team in India and US while maintaining a small, agile headcount. ## Why Work Here - **Culture**: Small company (~18 employees) with a high density of technical talent (65% specialist/senior roles). Emphasis on production engineering and hands-on AI deployment. - **Remote/Hybrid Policy**: Remote roles available in India; San Francisco office (onsite workspace) for US-based staff. Typical on-site time is not defined but some roles are fully remote [builtin.com](https://builtin.com/company/dehazelabs). - **Perks**: Not extensively advertised; one Glassdoor-like review rates work-life 3.0/5 and culture 3.0/5. Recent job postings include DevOps Engineer and Junior Python Developer. - **Engineering Culture**: Engineers work directly with clients on real-world AI challenges – strong fit for those who enjoy applied ML, data infrastructure, and edge computing. ## Sources 1. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/DehazeLabs) – Careers page and job listings 2. [dehazelabs.com](http://dehazelabs.com/) – Official website with service details 3. [linkedin.com](https://www.linkedin.com/company/dehazelabs) – Company page, employee data, and updates 4. [builtin.com](https://builtin.com/company/dehazelabs) – Company overview, offices, and culture 5. [cbinsights.com](https://www.cbinsights.com/company/dehazelabs) – Headquarters and founding year ## Other roles at Dehazelabs - [Outbound Sales Representative](https://feeny.ai/job/outbound-sales-representative-dehazelabs-india-e31eatwywzgd) — India - [Go To Market](https://feeny.ai/job/go-to-market-dehazelabs-india-6y23sjgrnx8z) — India - [Deployment Strategist](https://feeny.ai/job/deployment-strategist-dehazelabs-india-atfr4ghvvg3p) — India - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-wispr-flow-san-francisco-pgja820f57tt) — San Francisco, CA - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-mobiik-mexico-xz5ykt571t1g) — Mexico - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-gushwork-bengaluru-7h7y44jkbnnc) — Bengaluru, India - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-handoff-sao-paulo-xyrh0ahftpxa) — São Paulo, Brazil - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-ascertain-remote-rd1xdrv0j2nx) - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-noble-machines-inc-sunnyvale-kgsb54knbt64) — Sunnyvale, CA - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-netic-san-francisco-1ca2f70nbm0f) — San Francisco, CA