
Agile Generative AI System Architect
2 weeks ago
Job Title: AI System Engineer
As a skilled professional in the field of artificial intelligence, we seek an experienced system engineer to integrate LLM-based technology into our ecosystem.
The ideal candidate will have expertise in building Agentic AI systems and context-aware RAG pipelines using Python.
This is a hands-on opportunity to help shape the next generation of intelligent, secure, cloud-native applications.
- Mandatory Requirements:
- Strong experience in backend development with Python (NLTK, Spacy, FastAPI, Tensorflow, Keras, Pytorch).
- Deep understanding of REST API development, backend microservices, and production-ready codebases.
- Experience working with SQL and data modeling across both SQL (e.g., PostgreSQL) and NoSQL systems.
- Proficient in writing unit tests, debugging, documenting, and collaborating through code reviews.
- Specialization in GenAI, LLMs & Agentic Systems:
- Practical experience with LLM ecosystems and frameworks like Langchain, LangGraph, CrewAI, Agnos, AutoGPT, or Semantic Kernel.
- Experience building Retrieval-Augmented Generation (RAG) pipelines with Vector stores (e.g., Chroma, Qdrant, Pinecone).
- Integrating with OpenAI, Anthropic, Ollama, Hugging Face, etc.
Bonus Skills:
- Hands-on experience with federated query tools like Trino or Athena.
- Familiarity with cloud-native deployments (GCP/GKE, AWS/EKS).
What you will bring:
- Strong curiosity and an experimental mindset to explore fast-evolving AI tech.
- Ability to prototype quickly but build robustly for production.
- Startup mentality – autonomy, ownership, and deep collaboration with the team.
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