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Sr. AI Engineer
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2 months ago
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Important information
Contract type:
Permanent
Salary:
₹1,500,000 – ₹2,500,000 / year
Location:
Pune, Maharashtra, India
Work mode:
Onsite
Published on:
7 August 2026
What they need
We are a construction technology company based in Pune, India. We are looking for people who are passionate about transforming the construction industryusingtechnology.
We are an entrepreneurial organization and have forayed into product development for construction byleveragingits deep understanding of construction processes. We have a dedicated team of people who come from the construction domain and technology domain to build solutions for problems we see in the construction management workflows byleveraging3D (BIM), Web and Mobile, AI/MLand IoT.We are looking for individuals who canBuild applied AI for construction. Rapidly prototype,validatewith real users, and harden into production-grade features. Own GenAI and ML capabilities across planning, execution, cost, quality, and risk workflows. Deliver systems thatimpactlive construction projects, not demos.
Responsibilities
- Run rapid AI experiments tovalidatehigh-impact construction use cases.
- Design and deploy AI/GenAI features for:
- Project planning and scheduling
- Cost forecasting and variance detection
- Risk prediction and mitigation
- Quality and safety analytics
- Document intelligence (drawings, BOQs, RFIs, contracts)
- Integrate LLMs (GPT, Claude, Llama) for:
- Construction copilots
- Automated reports and insights
- Conversational project intelligence
- Build ML models for:
- Schedule delay prediction
- Cost overrun forecasting
- Productivity and resource optimization
- Safety risk scoring
- Build RAG systems over structured and unstructured construction data.
- Build ML models for delay prediction, cost overruns, productivity, and safety risks.
- Partner with data engineering on pipelines, feature stores, and serving infra.
- Work withproductand UX to convert business needs into AI-first features.
- Own model deployment, monitoring, drift detection, and optimization.
- Ensure enterprise-grade scalability, reliability, and security inside SaaS.
Qualifications
- Bachelors or Masters in CS, Engineering, AI/ML, or equivalent experience.
- 58+yearsbuilding production software.
- 2+ years building AI/ML systems.
- 1+yeardelivering GenAI or LLM-based features.
- Deep experience with:
- PyTorch, TensorFlow, Scikit-learn
- Transformers,LangChain
- Proven SaaS AI integration at scale.
- Cloud experience: AWS, Azure, or GCP.
- MLOps: CI/CD, monitoring, versioning, lifecycle management.
- RAG systems and vector databases (FAISS, Pinecone, etc.).
- Strong NLP and deep learning fundamentals.
- SQL and large-scale data handling.
- Clear technical communication across product, design, and business.
Experience with:
- Drawings, BIM, BOQs, RFIs, submittals, schedules
- Hands-on with OpenAI, Anthropic, or open-source LLMs.
- Strong rapid-prototyping and experimentation mindset.
- Startup orinnovation labbackground.
- Responsible AI, governance and security practices.
- Real-time inference and streaming data.
- Open-source AI/ML contributions.
Preferred
- Construction or infrastructure domain experience.
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