Generative AI Intelligence Analyst
GenAI Engineers build the core intelligence layer agents, workflows, prompts, and decision logic that power enterprise AI applications.
Technology Stack (Priority Order):
• Languages: Python
• Agent & RAG Frameworks: LangChain, LlamaIndex, DSPy
• LLM APIs: Gemini, Bedrock, Vertex AI, Claude
• Vector DBs: Pinecone, Weaviate (Can be any)
• Evaluation: LangSmith, custom eval pipelines
Key Responsibilities:
• Build multi-step and multi-agent workflows
• Implement RAG pipelines and document retrieval strategies
• Design prompt templates, system instructions, and guardrails
• Integrate agents with tools, APIs, and internal services
• Optimize latency, accuracy, and token usage
• Create automated LLM evaluation and regression tests
Required Skills:
• Strong Python development skills
• Hands-on experience with LLMs and embeddings
• Solid understanding of prompt engineering and hallucination mitigation
• Familiarity with cloud AI services
For applications and inquiries, contact: [email protected]
Apply Now
Apply Now
Technology Stack (Priority Order):
• Languages: Python
• Agent & RAG Frameworks: LangChain, LlamaIndex, DSPy
• LLM APIs: Gemini, Bedrock, Vertex AI, Claude
• Vector DBs: Pinecone, Weaviate (Can be any)
• Evaluation: LangSmith, custom eval pipelines
Key Responsibilities:
• Build multi-step and multi-agent workflows
• Implement RAG pipelines and document retrieval strategies
• Design prompt templates, system instructions, and guardrails
• Integrate agents with tools, APIs, and internal services
• Optimize latency, accuracy, and token usage
• Create automated LLM evaluation and regression tests
Required Skills:
• Strong Python development skills
• Hands-on experience with LLMs and embeddings
• Solid understanding of prompt engineering and hallucination mitigation
• Familiarity with cloud AI services
For applications and inquiries, contact: [email protected]
Apply Now
Apply Now