DehazeLabs Forward Deployed Engineer Recruitment 2026 – Remote India, ₹2.16L–₹4.2L
DehazeLabs is hiring a Forward Deployed Engineer for its Engineering team. The position is full-time and remote, and candidates can work from anywhere in India.
The role is designed for early-career engineers with 0–1 year of experience who are interested in applied AI, software engineering, enterprise systems, and customer-facing technical work.
As a Forward Deployed Engineer, the selected candidate will work directly with enterprise customers to understand their workflows, identify opportunities for AI automation, build AI-agent systems, and take projects from initial discovery through production deployment and continuous improvement.
DehazeLabs Forward Deployed Engineer – Overview
| Particular | Details |
|---|---|
| Company | DehazeLabs |
| Position | Forward Deployed Engineer |
| Department | Engineering |
| Experience | 0–1 year |
| Employment Type | Full-time |
| Location | India – Anywhere |
| Work Mode | Remote |
| Compensation | ₹2,16,000 – ₹4,20,000 |
| Job Type | Full-time |
| Application Deadline | Not specified |
| Selection Process | Not specified |
About DehazeLabs
DehazeLabs describes itself as an Anthropic service partner that builds AI agents for enterprise use cases.
The company focuses on applying AI to real operational problems inside businesses. The Forward Deployed Engineer role sits between engineering, product, and customer delivery, requiring the engineer to understand how enterprise teams work and then translate those workflows into practical AI-powered systems.
DehazeLabs Forward Deployed Engineer Role
The Forward Deployed Engineer will work directly with enterprise teams to understand their operational processes, technical constraints, and desired outcomes.
Rather than working only from predefined specifications, the engineer is expected to investigate ambiguous problems, develop practical technical solutions, deploy them in real environments, and improve them based on evidence from actual usage.
The role covers the complete project lifecycle:
Customer discovery → Technical planning → Prototype → Production deployment → Measurement → Continuous improvement
Key Responsibilities
Understand Customer Workflows
The engineer will embed with customers to understand:
- Existing workflows
- Operational constraints
- Business requirements
- Measures of success
This requires working with both operational teams and technical stakeholders.
Turn Problems Into Technical Solutions
The role involves taking loosely defined business or operational problems and converting them into:
- Clear technical plans
- Production systems
- AI-powered workflows
Engineers are expected to bring structure and momentum to problems where the requirements may not initially be completely defined.
Build AI Agents
The selected candidate will design and build AI agents that integrate with customer:
- Tools
- Data
- Business processes
- Operational workflows
The goal is to create systems that work effectively in real enterprise environments.
Manage Production Deployments
Forward Deployed Engineers will own deployments from the early prototype stage through:
- Production launch
- Monitoring
- Performance measurement
- Continuous improvement
This provides exposure to the full lifecycle of enterprise AI applications.
Test and Measure Real-World Results
The role involves testing systems with real-world data and measuring their impact.
Engineers will use evidence from actual deployments to determine what needs to be changed or improved.
Make Engineering Tradeoffs
The position requires practical decision-making across areas such as:
- Architecture
- Reliability
- Development speed
- User experience
The role therefore involves balancing technical quality with practical customer and business requirements.
Work With Product and Engineering
The Forward Deployed Engineer will work closely with DehazeLabs’ Product and Engineering teams.
Insights from customer deployments can also be used to improve the company’s underlying platform.
Build Reusable Solutions
Lessons learned from individual customer implementations will be converted into reusable:
- Tools
- Technical patterns
- Best practices
This allows experience from individual deployments to contribute to the broader platform.
Eligibility and Required Skills
The role is intended for early-career engineers with 0–1 year of experience building software or solving complex technical problems.
Candidates should have strong foundations in:
- Software architecture
- System design
- Production engineering
- APIs
- Integrations
- Data flows
- Distributed systems
The company is also looking for candidates who can work effectively with ambiguous technical problems.
Customer-Facing Skills
Because the position involves direct interaction with customers, candidates should be comfortable communicating with:
- Operational teams
- Technical stakeholders
- Enterprise customers
Clear communication, sound judgment, ownership, and curiosity about applied AI are important aspects of the role.
Nice-to-Have Skills
The following experience is listed as an advantage:
- Forward-deployed engineering
- Solutions engineering
- Consulting
- Customer-facing technical roles
- AI agent development
- Workflow automation
- Conversational systems
- LLM evaluation
- AI observability
- Production AI reliability
- Deploying and improving systems in complex enterprise environments
These are listed as nice-to-have qualifications rather than mandatory requirements.
Compensation
The supplied job listing gives a compensation range of:
₹2,16,000 – ₹4,20,000
The source does not specify the compensation period or whether this figure represents annual fixed compensation, total compensation, or another structure. Candidates should confirm the exact compensation details during the hiring process.
No separate information about equity, bonuses, or additional monetary benefits is provided in the supplied listing.
Work Location and Job Type
The position is open across India and is classified as:
- Full-time
- Remote
- Engineering department
Candidates can work from anywhere in India according to the supplied job listing.
What the Role Offers
The role provides early-career engineers with exposure to several areas of modern enterprise software and applied AI.
Potential areas of experience include:
- AI agent development
- Enterprise software engineering
- System design
- Production deployments
- API integrations
- Distributed systems
- Customer discovery
- Workflow automation
- LLM evaluation
- Production observability
- Reliability engineering
- Technical consulting-style problem solving
The position combines hands-on engineering with customer and product context.
Who Can Apply?
This role may be relevant for candidates who:
- Have up to one year of software engineering experience
- Have strong programming and system-design fundamentals
- Understand APIs and integrations
- Have exposure to data flows or distributed systems
- Enjoy solving ambiguous technical problems
- Are comfortable communicating directly with customers
- Are interested in applied AI
- Want experience deploying software in real enterprise environments
The supplied listing does not specify a mandatory degree, graduation year, CGPA, percentage, or particular programming language.
Selection Process
The supplied job description does not specify the interview rounds or selection stages.
Candidates should check the current application process for the latest recruitment information.
Important Points
- DehazeLabs is hiring a Forward Deployed Engineer.
- The position is part of the Engineering department.
- The role is full-time and remote.
- Candidates can work from anywhere in India.
- The listed experience range is 0–1 year.
- The compensation range is ₹2.16L–₹4.2L.
- The source does not specify the compensation period.
- The role combines engineering, product, and customer delivery.
- AI agents and enterprise workflow automation are central to the position.
- Candidates should understand APIs, integrations, data flows, distributed systems, architecture, and production engineering.
- Customer-facing communication is an important part of the role.
- AI agent, workflow automation, LLM evaluation, and enterprise deployment experience are listed as advantages.
- The application deadline and selection process are not specified.
Frequently Asked Questions
What is the DehazeLabs Forward Deployed Engineer role?
It is a full-time remote engineering role focused on building AI agents and enterprise systems, working directly with customers from problem discovery through production deployment and continuous improvement.
What experience is required?
The listing asks for 0–1 year of experience building software or solving complex technical problems.
Is the DehazeLabs role remote?
Yes. The position is remote and open to candidates anywhere in India.
What is the compensation?
The listed compensation is ₹2,16,000 to ₹4,20,000. The supplied listing does not specify the period represented by this figure.
What technical skills are required?
The listing emphasizes software architecture, system design, production engineering, APIs, integrations, data flows, and distributed systems.
Is customer interaction part of the job?
Yes. The engineer will work directly with enterprise customers, including operational and technical stakeholders.
Is AI experience mandatory?
The listing asks for genuine curiosity about applied AI. AI agent, workflow automation, conversational systems, and LLM-related experience are listed as nice-to-have rather than mandatory qualifications.
Does the role require a specific degree?
No specific degree requirement is mentioned in the supplied job description.
What is the selection process?
The supplied listing does not provide details about interview rounds or the selection process.
What is the application deadline?
No application deadline is specified in the supplied listing.