A technology firm is seeking GenAI Engineers to build the core intelligence layer for enterprise AI applications. Responsibilities include creating workflows, implementing RAG pipelines, and optimizing AI systems. Candidates should have strong Python skills and experience with LLMs. This role offers the opportunity to work on cutting-edge technology in a collaborative environment.
Qualifications
Strong Python development skills required.
Hands-on experience with LLMs and embeddings essential.
Solid understanding of prompt engineering techniques necessary.
Responsibilities
Build multi-step and multi-agent workflows.
Implement RAG pipelines and document retrieval strategies.
Design prompt templates and system instructions.
Skills
Python development
Experience with LLMs
Prompt engineering
Knowledge of cloud AI services
Tools
LangChain
Gemini
Pinecone
Job description
Overview
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, Langgraph
LLM APIs: Gemini, Claude
Vector DBs: Pinecone, Weaviate
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