Were seeking a hands-on AI Architect/Engineer to design and implement autonomous AI agents with specialized domain knowledge. Youll build production-grade agentic systems from prototype to scale working with LLMs implementing RAG/CAG pipelines and eventually fine tuning custom models
Key Responsibilities
- Design and implement autonomous AI agent architectures with domain expertise and reasoning capabilities
- Build multi-agent systems with role specialization task decomposition and orchestration
- Architect RAG/CAG pipelines with vector databases for consistent agent outputs
- Implement agent memory systems planning frameworks (ReAct Plan-and-Execute) and tool-use capabilities
- Design RESTful APIs for integration with application platforms
- Build evaluation frameworks and monitoring for agent performance and reliability
Lead transition from cloud LLM APIs to custom fine-tuned models
Work with domain experts to encode specialized knowledge into agent systems
Required Skills
- AI/ML Expertise
Deep understanding of LLMs transformer architectures and NLP - Proven experience building autonomous agents with planning reasoning and tool-use
- Hands-on with agent frameworks: LangGraph LangChain AutoGen CrewAI
- Expert-level prompt engineering: few-shot chain-of-thought ReAct patterns
- Production RAG systems with vector databases (Pinecone Weaviate Qdrant ChromaFAISS)
- Extensive experience with Claude OpenAI GPT-4 APIs function calling structured outputs
- Vector embeddings semantic search similarity metrics retrieval strategies
- Understanding of fine-tuning RLHF LoRA QLoRA domain-specific model adaptation
Were seeking a hands-on AI Architect/Engineer to design and implement autonomous AI agents with specialized domain knowledge. Youll build production-grade agentic systems from prototype to scale working with LLMs implementing RAG/CAG pipelines and eventually fine tuning custom models Key Responsibil...
Were seeking a hands-on AI Architect/Engineer to design and implement autonomous AI agents with specialized domain knowledge. Youll build production-grade agentic systems from prototype to scale working with LLMs implementing RAG/CAG pipelines and eventually fine tuning custom models
Key Responsibilities
- Design and implement autonomous AI agent architectures with domain expertise and reasoning capabilities
- Build multi-agent systems with role specialization task decomposition and orchestration
- Architect RAG/CAG pipelines with vector databases for consistent agent outputs
- Implement agent memory systems planning frameworks (ReAct Plan-and-Execute) and tool-use capabilities
- Design RESTful APIs for integration with application platforms
- Build evaluation frameworks and monitoring for agent performance and reliability
Lead transition from cloud LLM APIs to custom fine-tuned models
Work with domain experts to encode specialized knowledge into agent systems
Required Skills
- AI/ML Expertise
Deep understanding of LLMs transformer architectures and NLP - Proven experience building autonomous agents with planning reasoning and tool-use
- Hands-on with agent frameworks: LangGraph LangChain AutoGen CrewAI
- Expert-level prompt engineering: few-shot chain-of-thought ReAct patterns
- Production RAG systems with vector databases (Pinecone Weaviate Qdrant ChromaFAISS)
- Extensive experience with Claude OpenAI GPT-4 APIs function calling structured outputs
- Vector embeddings semantic search similarity metrics retrieval strategies
- Understanding of fine-tuning RLHF LoRA QLoRA domain-specific model adaptation
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