Job Location: India (Anywhere)
Location Type: Remote
Salary: ₹2,16,000 – ₹4,20,000
Company Overview
DehazeLabs is an Anthropic service partner building Artificial Intelligence agents that re-solve real problems inside real enterprises. As a Forward Deployed Engineer at DehazeLabs, the candidate’ll turn complex enterprise workflows into AI agents that work in the real world.
Roles & Responsibilites
- Regularly connect with customers to understand their workflows, constraints, and measures of success.
- Convert the defined operational problems into clear, defined technical plans and production systems manuals.
- Design and develop Artificial Intelligence agents that integrate with client tools, records, and business processes.
- Take ownership of the deployment process from prototype through launch, monitoring, and continuous improvement.
- Test with real-world records, calculate business outcomes, and iterate based on proof.
- Develop pragmatic tradeoffs across architecture, reliability, speed, and user experience.
- Collaborate closely with DehazeLabs Product and Engineering teams to enhance the core platform.
- Turn lessons from individual deployments into reusable tools, patterns, and best practices.
Basic Requirements
- 0-1 year of experience building software applications or solving various complex technical problems.
- Must have a strong foundation in software architecture, system design, and production engineering.
- Experience working across APIs, integrations, record 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 job.
- 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.
How to Apply?
If you’re Interested, Kindly Click the Apply Now button below.
