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Job Title: Backend Engineer – Generative AI
Job Description:
Key Responsibilities:- We are seeking a skilled Backend Engineer to design and develop robust, scalable backend systems using Python for integrations with Large Language Models (LLMs).
- The ideal candidate will develop RESTful APIs and microservices to support LLM-based applications.
- Candidates should be able to collaborate with the team to integrate LLMs into our ecosystem and build context-aware Retrieval-Augmented Generation (RAG) pipelines.
- The successful candidate will have strong experience in Python programming, including libraries like NLTK, Spacy, FastAPI, TensorFlow, Keras, PyTorch, FastMCP, Pandas.
- A deep understanding of REST API development, backend microservices, and production-ready codebases is required.
- Experience working with SQL and data modeling across both SQL and NoSQL systems is essential.
- Proficiency in unit testing, debugging, documentation, and code reviews is necessary.
- Familiarity with Docker, Kubernetes, and CI/CD pipelines is a plus.
- Candidates should have practical experience with LLM ecosystems and frameworks like Langchain, LangGraph, CrewAI, Agnos, AutoGPT, or Semantic Kernel.
- Experience building RAG pipelines with Vector stores (e.g., Chroma, Qdrant, Pinecone), Embedding models, chunking, and token window optimization is desired.
- Integrating with OpenAI, Anthropic, Ollama, Hugging Face, etc. is a plus.
- Hands-on experience with federated query tools like Trino or Athena is a plus.
- Familiarity with cloud-native deployments (GCP/GKE, AWS/EKS) is a bonus.
- A background in privacy-aware computing, data security, or compliance-driven design is highly valued.
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