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2 days ago
Job Title: AI Systems Integration Specialist
About the Role:We are seeking a highly skilled and innovative AI/ML Engineer to design, build, and deploy model AI and ML pipelines as well as orchestrate multi-agent systems with memory, reflection, and planning flow.
Key Responsibilities:- Architect Retrieval-Augmented Generation (RAG) systems integrated into agentic workflows and vector databases for embeddings and retrieval.
- Develop modular, maintainable software in Python, following full software lifecycle practices (design, coding, unit testing, CI/CD).
- Work with FastAPI or equivalent frameworks to expose agent workflows via RESTful APIs.
- Implement embedding layers and vector DB integrations (e.g., Milvus, Weaviate, Redis) for high-performance retrieval and similarity search.
- Conduct rigorous unit tests and integration tests, owning test coverage and reliability for agent components.
- Stay updated with the latest advancements in AI/ML technologies, mentor junior engineers, propose architectural improvements, and participate in code reviews.
We are a leading organization looking for a highly expert, innovative, and self-motivated DevOps AI/ML Engineer. This role requires a deep understanding of AI/ML principles, hands-on experience with relevant technologies, and the ability to work effectively individually in a remote environment as well as collaborate with teams cross-functionally.
Requirements:To succeed in this role, you will need:
- A strong background in AI/ML engineering and software development.
- Hands-on experience with technologies such as FastAPI, Python, and vector databases.
- Excellent problem-solving skills and attention to detail.
- The ability to work independently and collaboratively as part of a team.
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