Artificial Intelligence Engineer
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Position Title: AI Software Engineer
Location: Corporate Office, Gurugram (with frequent visits to sites and the factory)
Experience: 1-3 years, or exceptional fresh graduates who have already shipped real software
Managing: Individual contributor - you own products end to end, not people. This is a builder role, not a management role
Role Summary
SKV needs a builder who can walk onto a factory floor, watch a store-keeper struggle with a broken process, and have working software in that person's hands within the week. This is the role that builds the software brain of a construction company.
Key Responsibilities
- Find the Problem: Go to where the work happens - the factory, the warehouse, a project site, the finance desk - and find the process that is slow, manual, error-prone, or invisible.
- PM the Solution: Turn a messy real-world problem into a crisp, buildable spec. Decide what to build, what to leave out, and what done looks like.
- Build & Ship: Write the code and put it in production. Our stack: Next.js 16 (App Router), React 19, TypeScript, Supabase/Postgres, Python/FastAPI for computer-vision and data services, and LLM APIs (Claude, Gemini).
- Own It in Production: Watch real usage, catch what breaks, and fix it fast.
Qualifications & Experience
- Tier-1 engineering background strongly preferred (IIT, NIT, BITS, IIIT).
- Genuine fluency in at least one modern stack - TypeScript/React or Python.
- Comfort working with LLM APIs and agentic AI tools.
- Strong product instinct.
- High agency, low ego.
Job ID: 151078603
Skills:
Databases, Machine Learning, Apis, Tensorflow, Numpy, Git, Pandas, Pytorch, Python, Generative AI, scikit-learn, Large Language Models
Skills:
production deployment , Amazon Web Services, Google Cloud, Backend Engineering, Python, Api Development, LLMs, Agentic AI systems, vector search, RAG architecture, OpenAI models, vector databases, embeddings, Weaviate, model evaluation, Pinecone, prompt engineering, open-source alternatives, retrieval systems
Skills:
Django, Gcp, PostgreSQL, FastAPI, Azure, Python, Redis, AWS, Async Python, event-driven architectures, LLM-based applications
Skills:
Sql, Python, Langchain, LLM internals, agent workflows, vector databases, embeddings, prompt tuning
Skills:
Nodejs, Rest Apis, Python, embeddings, Qdrant, Claude, Pinecone, Weaviate, Gemma 3.0, DeepSeek R1, vector databases, OpenAI GPT-4, ChromaDB
