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2 weeks ago
We're evolving to integrate LLM-based intelligence into our ecosystem and looking for a hands-on, full-time opportunity to help shape the next generation of intelligent, secure, cloud-native applications.
This role requires expertise in building Agentic AI systems, LLM integrations, and context-aware RAG pipelines using Python (NLTK, Spacy, FastAPI, Tensorflow, Keras, Pytorch, Pandas).
The ideal candidate will have experience with REST API's and production ready codebases, working with SQL and NoSQL systems, ensuring data modeling and query optimization, as well as collaborating through code reviews, writing unit tests, debugging, and documenting.
Specialization in GenAI, LLMs & Agentic Systems is required:
- Proficient in LLM ecosystems and frameworks like Langchain, LangGraph, CrewAI, Agnos, AutoGPT, or Semantic Kernel.
Bonus Skills:
- Familiarity with federated query tools like Trino or Athena.
- Cloud-native deployments (GCP/GKE, AWS/EKS).
- Building data connectors (SQL/GraphQL APIs for RAG).
- Background in privacy-aware computing, data security, or compliance-driven design.
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