MindGraph AI
Website:
mind-graph.com
Company:
https://www.linkedin.com/company/mindgraph292
Industries: Real Estate
Job details:
Location: Remote (India)
Experience: 2–4 Years
Employment Type: Full-time
We're looking for a Software Engineer who enjoys building products powered by modern AI. You'll work on systems involving large language models, natural language processing, retrieval, embeddings, and intelligent workflows that ship to real users.
What you'll do
- Build and deploy AI-powered backend services and APIs.
- Work with LLMs, NLP pipelines, embeddings, and semantic search.
- Design scalable architectures for AI features and data processing.
- Build retrieval systems using vector databases and RAG pipelines.
- Optimize latency, reliability, and cost of AI infrastructure.
- Collaborate closely with product, design, and engineering teams to ship production-ready features.
Requirements
- 2–4 years of software engineering experience.
- Strong proficiency in Python.
- Experience building backend systems using FastAPI, Flask, or Django.
- Hands-on experience with NLP, LLMs, or machine learning applications.
- Familiarity with libraries such as Hugging Face Transformers, spaCy, NLTK, or LangChain.
- Experience with vector databases such as Pinecone, Weaviate, Qdrant, Milvus, or Chroma.
- Strong understanding of APIs, distributed systems, and cloud infrastructure.
- Experience with PostgreSQL, Redis, Docker, and Git.
- Ability to write clean, maintainable, production-quality code.
Nice to have
- Experience with RAG systems and AI agents.
- Experience with embeddings, reranking, and search systems.
- Knowledge of PyTorch or TensorFlow.
- Familiarity with Kubernetes and AWS, GCP, or Azure.
- Experience evaluating and improving LLM performance.
What we're looking for
- Strong problem-solving skills.
- Curiosity about AI and emerging technologies.
- Ownership mindset and attention to detail.
- Ability to move quickly without compromising quality.
- Someone who enjoys building products from zero to one.
- If you're excited about building the next generation of AI products and solving challenging engineering problems, we'd love to hear from you.
Click on Apply to know more.