
**AI Engineering Expert Wanted**
2 weeks ago
The successful candidate will design and implement GenAI applications using various frameworks such as LangChain, LlamaIndex, and DSPy. In addition to designing and implementing GenAI applications, the ideal candidate will build and manage Agentic AI workflows using orchestration frameworks like LangGraph and MCP.
To excel in this role, the candidate should have a strong background in Python and ML engineering. The ideal candidate will also possess expertise with API development using FastAPIs, supervised/unsupervised learning, optimization, embeddings, and retrieval.
Furthermore, the successful candidate will have hands-on experience with vector databases, elastic search, and unstructured data. Experience with cloud AI/ML services (AWS, Azure, GCP) is also desired.
This role requires candidates who can ensure scalability, security, and cost-effectiveness of deployed solutions. They must also be able to integrate AI with enterprise data, APIs, and cloud-native architecture.
Key Responsibilities:
- Design and implement GenAI applications
- Build and manage Agentic AI workflows
- Ensure scalability, security, and cost-effectiveness of deployed solutions
- Integrate AI with enterprise data, APIs, and cloud-native architecture
Requirements:
- Strong background in Python and ML engineering
- Expertise in API development using FastAPIs
- Hands-on experience with GenAI frameworks (LangChain, LlamaIndex, DSPy)
- Experience with orchestration frameworks (LangGraph, MCP)
- Knowledge of vector databases, elastic search, and unstructured data
- Experience with cloud AI/ML services (AWS, Azure, GCP)
Preferred Qualifications:
- Hands-on experience with vector databases
- Knowledge of elastic search and unstructured data
- Experience with cloud AI/ML services (AWS, Azure, GCP)
Benefits:
- Opportunity to work on cutting-edge projects
- Chance to develop skills in emerging technologies
- Collaborative and dynamic work environment
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