Job Description
- 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]
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