Road Engineer

2 days ago


Delhi, Delhi, India RoadVision AI Full time ₹ 40,00,000 - ₹ 1,20,00,000 per year

Company Description

RoadVision AI
is reimagining the way the world manages roads. We're an AI company
building multi-modal intelligence for roads & highways
.

Combining cutting-edge AI/ML, computer vision, deep learning, and analytics, we deliver automated road asset management, pavement assessments, safety audits, tolling intelligence, and comprehensive AI transformation solutions for leading road companies across the globe.

We work with some of the most reputed road companies and road agencies across the globe, solving real-world infrastructure challenges at scale.

And this is your chance to be at the forefront of AI in roads with us, not just theorizing what's possible, but actually building and delivering it.

If you are a passionate civil/road engineer who wants to push boundaries, challenge old frameworks, and shape the future of highways with AI-powered solutions... this is where you belong.

Role Description

This is a full-time on-site role located in New Delhi.

We're hiring at two levels:

  1. Apply for
    Senior Road Engineer
    if you have 1+ years of experience. This will involve leading projects, validating AI outputs, design engineering frameworks, and engage with clients and stakeholders.

  2. Apply for
    Junior Road Engineer
    if you have 0-1 years of experience and want to grow into that role. This will involve working on field surveys, data-driven analysis, and supporting model validation and reporting.

Key responsibilities

1. Senior Road Engineer

  • Lead and deliver end-to-end road survey projects: plan surveys, define scope, supervise field teams, and ensure engineering/quality standards.
  • Provide technical ownership over pavement & asset assessments (PCI, IRI, pavement distress, lifecycle assessments, safety audits).
  • Validate AI model outputs against engineering judgment and field data; define acceptance criteria and QC processes.
  • Create/refine engineering taxonomies, defect definitions, and data quality rules used to train and evaluate AI models.
  • Mentor and review work of junior engineers; set QA processes for field & data outputs.
  • Liaise with clients, government agencies, and stakeholders. Present findings, make recommendations, and support procurement/decision-making.
  • Advise on integration with existing systems (PMS, EAMS/Maximo) and help design predictive maintenance strategies using combined AI + engineering inputs.
  • Produce and review technical reports, proposals, and executive presentations; act as subject-matter expert (SME) for road defects and safety.

2. Junior Road Engineer

  • Support field surveys and data collection: execute surveys, ensure device integrity, and follow data collection SOPs.
  • Review and validate model outputs and flagged defects; perform engineering checks to confirm severity and priority.
  • Prepare concise technical notes, inspection reports, and input for dashboards and client deliverables.
  • Help develop defect taxonomies, asset inventories, and data quality logs.
  • Work closely with AI/ML and product teams to increase model reliability and field applicability.
  • Support client communications and on-site demonstrations; respond to basic technical queries.

Qualifications & skills

1. Senior Road Engineer

  • Master's in Civil Engineering (Highways/Transportation/Pavement) preferred; Bachelor's in Civil/Road & Transportation Engineering required.
  • 1+ years relevant experience (road design, pavement management, safety audits, asset management).
  • Strong domain knowledge: pavement distress (potholes, cracking, rutting, fatigue), asset inventory, PCI/IRI frameworks, and road safety standards.
  • Experience validating/working with survey instruments (FWD, NSV, roughness measurement) and familiarity with PMS/EAMS concepts.
  • Excellent client-facing skills, report writing, and stakeholder management.
  • Comfortable translating field engineering needs into AI/data requirements.

2. Junior Road Engineer

  • Bachelor's in Civil / Road & Transportation Engineering (Highways/Transportation focus preferred).
  • 0–1 year experience in road/highways sector (freshers with projects/internships considered).
  • Good understanding of road defects, asset inventory, and basic survey methods.
  • Strong attention to detail and ability to work with datasets, dashboards, and field checklists.
  • Good written and verbal communication in English; ability to produce clear technical notes.

Additional requirements (who we want) [Important]

We want people who are curious, ambitious, and unafraid to challenge the status quo. Ideal candidates are:

  • Tech-curious
    : eager to learn AI/ML workflows and how engineering + data combine to solve real problems.
  • Impact-driven
    : motivated by building practical solutions that improve road safety and asset management.
  • Proactive and adaptable
    : ready for fieldwork, fast-paced projects, and global collaboration.
  • Creative problem-solvers
    : willing to question assumptions and design better methods for an industry stuck in legacy approaches.
  • Team players
    who can mentor or be mentored. And who care about building a legacy in the road sector.

(GIS familiarity and exposure to international road standards is a plus.)

Why join RoadVision AI?

At RoadVision AI you'll do more than write reports. You'll build the AI solutions that governments and leading road agencies use to make real decisions.

You'll work at the intersection of civil engineering and cutting-edge AI: computer vision, predictive maintenance, multimodal models, and analytics.

We're a global team deploying real projects across India, the UK, Middle East, LATAM, and beyond. You'll get exposure to diverse road environments and high-impact clients. If you want to learn futuristic skills, lead transformation in road & highways sector, and be part of a team that ships real tech products that brings real change, this is your place.

Join us to create impact, build a legacy, and help shape the future of road engineering.

How to apply

Send your
CV + 1-paragraph note
telling us which role you're applying for (Senior / Junior) and why you're excited about roads + AI to:

Shortlisted candidates will be contacted for a technical discussion and a brief practical assessment.



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