AI Lead

Akrys.ai • Python • ETL/ELT • 1 hour ago
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Salary
≈ $35k – $83k per year (Estimated)
Location
In office (Bengaluru)
Seniority
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Akrys.ai

Akrys AI is a healthtech company building a clinical intelligence platform to convert doctor-patient conversations into structured records and clinical notes, offering AI-assisted support for healthcare workflows.
akrys.ai • Bengaluru • UTC+05:30 • Health Care • Digital Health • Medical AI • Est. 2025

The core requirements for the job include the following:

AI / GenAI / LLM:

  • Strong hands-on experience with Large Language Models (LLMs) such as GPT, Claude, and Gemini.
  • Experience in building generative AI applications using RAG (Retrieval-Augmented Generation).
  • Expertise in prompt engineering, prompt tuning, and evaluation frameworks.
  • Experience with fine-tuning techniques such as LoRA, PEFT, and model optimization.
  • Hands-on experience with OpenAI, Azure OpenAI, AWS Bedrock, or similar APIs.

Agentic AI:

  • Experience in building AI agents and multi-agent systems.
  • Hands-on experience with LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, and Semantic Kernel.
  • Understanding of tool calling, function calling, and agent orchestration.
  • Experience with memory systems, context handling, and reasoning workflows.
  • Ability to design planning agents and autonomous decision-making systems.

Architecture and Engineering:

  • Strong experience in AI system architecture and scalable distributed systems.
  • Experience with microservices architecture, REST APIs, and event-driven systems.
  • Ability to design real-time and batch AI pipelines.
  • Experience in building production-grade AI platforms and services.

MLOps / LLMOps:

  • Experience with MLflow, Kubeflow, Databricks, and SageMaker.
  • Strong understanding of CI/CD pipelines for AI systems.
  • Experience in model deployment, monitoring, drift detection, and observability.
  • Experience in model versioning and lifecycle management.

Data and Retrieval:

  • Experience with vector databases such as FAISS, Pinecone, Weaviate, and Chroma.
  • Strong understanding of embeddings, semantic search, and retrieval pipelines.
  • Experience with structured and unstructured data processing.
  • Knowledge of data pipelines and ETL processes.

Programming and Cloud:

  • Strong proficiency in Python.
  • Experience with PyTorch, TensorFlow, and Hugging Face Transformers.
  • Experience with FastAPI or Flask for building AI services.
  • Hands-on experience with Azure, AWS, or GCP.
  • Experience with Docker and Kubernetes.
  • Understanding of GPU-based workloads and scalable infrastructure.
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