ML Engineer (Agentic AI)
Job Summary
Job Description
StatusNeo is a technology consulting and digital engineering firm specializing in cloud, data, AI/ML, and product development solutions. This ML Engineer role focuses on designing, building, and deploying ML/Deep Learning models for GenAI and Agentic AI use cases. Responsibilities include developing AI agents with frameworks like LangChain, optimizing RAG pipelines, and deploying AI/ML systems on AWS, collaborating with product and research teams.
Must have:
- Design, build, and deploy ML/Deep Learning models for GenAI and Agentic AI use cases.
- Develop AI agents using frameworks like LangChain, LlamaIndex, AutoGPT, or CrewAI.
- Implement and optimize RAG pipelines with vector databases (FAISS, Pinecone, etc.).
- Work on cloud deployment (AWS) to scale AI/ML systems.
- Collaborate with product and research teams to integrate Agentic AI solutions into applications
3 skills required
Job Details
About StatusNeo
StatusNeo is a technology consulting and digital engineering firm that helps enterprises with cloud, data, AI/ML, and product development solutions.It offers services in digital transformation, DevOps, enterprise platforms, and product innovation. The company operates mainly as a service-based IT consultancy with a focus on modern tech adoption.
Responsibilities:
- Design, build, and deploy ML/Deep Learning models for GenAI and Agentic AI use cases.
- Develop AI agents using frameworks like LangChain, LlamaIndex, AutoGPT, or CrewAI.
- Implement and optimize RAG pipelines with vector databases (FAISS, Pinecone, etc.).
- Work on cloud deployment (AWS) to scale AI/ML systems.
- Collaborate with product and research teams to integrate Agentic AI solutions into applications
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