Sr. Gen AI lead
SIMARN Solutions, San Jose, CA, United States
Role - Sr Gen AI Lead
Location - San Jose, CA Onsite.
Note: Candidate this is onsite interview required in San Jose, CA or Santa Clara, CA.
GenAI Engineers build the core intelligence layer—agents, workflows, prompts, and decision logic—that power enterprise AI applications.
Technology Stack (Priority Order)
1.
Languages:
Python
2.
Agent & RAG Frameworks:
LangChain, LlamaIndex, DSPy
3.
LLM APIs:
Gemini, Bedrock, Vertex AI, Claude
4.
Vector DBs:
Pinecone, Weaviate (Can be any )
5.
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
Location - San Jose, CA Onsite.
Note: Candidate this is onsite interview required in San Jose, CA or Santa Clara, CA.
GenAI Engineers build the core intelligence layer—agents, workflows, prompts, and decision logic—that power enterprise AI applications.
Technology Stack (Priority Order)
1.
Languages:
Python
2.
Agent & RAG Frameworks:
LangChain, LlamaIndex, DSPy
3.
LLM APIs:
Gemini, Bedrock, Vertex AI, Claude
4.
Vector DBs:
Pinecone, Weaviate (Can be any )
5.
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