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AI Engineer

4 years

30 - 40 Lacs

Posted:20 hours ago| Platform: GlassDoor logo

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Work Mode

Remote

Job Type

Full Time

Job Description

About this role:
As an AI Engineer on the founding team, you won’t just write code—you’ll architect, experiment, and build AI systems that power the future of software interoperability. You’ll work directly with the founders, take ownership of major technical decisions, and help define the trajectory of our product and platform. We move fast. We build a lot. And we have fun while doing it.

Here's what you'll do:

  • Implement retrieval-augmented generation (RAG) pipelines to integrate LLMs with real-time data and context.
  • Apply advanced techniques in prompt engineering, transfer learning, and custom model training.
  • Optimize model performance and cost across production environments.
  • Work with tools like Hugging Face, LangChain, OpenAI APIs, and vector databases (FAISS, Pinecone, Weaviate).
  • Deploy scalable models using cloud platforms like AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes.
  • Collaborate with global teams and researchers in a fast-paced, remote-first setup.

Must-haves:

  • 4+ years of experience in AI/ML with deep exposure to Generative AI, LLMs, and NLP.
  • Proficient in Python and at least one deep learning framework: PyTorch, TensorFlow, or JAX.
  • Solid understanding of Transformer architectures (GPT, T5, BERT, Claude, Gemini, etc.).
  • Experience deploying models in production using cloud infrastructure and MLOps practices.
  • Familiarity with SQL/NoSQL and data manipulation at scale.
  • Excellent analytical skills and ability to break down complex problems into production-ready solutions.
  • Comfortable working 5+ hours overlapping with Pacific Time (PT).
  • Strong communication and asynchronous collaboration skills.

Job Types: Full-time, Permanent

Pay: ₹3,000,000.00 - ₹4,000,000.00 per year

Benefits:

  • Flexible schedule
  • Health insurance
  • Paid sick time

Schedule:

  • Monday to Friday

Work Location: In person

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