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Sr. Generative AI Engineer
2 weeks ago
About the Role
We're seeking an experienced Generative AI Engineer specializing in building production-ready agentic AI systems. You'll design and deploy autonomous AI applications that can reason, plan, and execute complex multi-step tasks.
Key Responsibilities
● Build and deploy agentic AI systems using frameworks like LangChain, AutoGen, or custom orchestration ● Develop RAG systems with advanced retrieval, re-ranking, and dynamic context management
● Architect and deploy sophisticated multi-agent and hybrid-search RAG systems using frameworks like LangGraph and graph databases (Neo4j).
● Implement multi-layer LLM security programs (OWASP LLM Top 10 aligned) and advanced prompt engineering strategies to optimize for cost, quality, and safety.
● Design multi-agent architectures with tool-calling capabilities, memory systems, and state management ● Implement prompt engineering strategies including chain-of-thought reasoning and few-shot optimization
● Create evaluation frameworks and safety guardrails for autonomous agents
● Integrate multiple LLMs (GPT-5, Claude, Gemini) and optimize for performance and cost
● Build custom tools extending agent capabilities for domain-specific applications
Experience:
● 4+ years software engineering experience with expert Python proficiency, ideally in AI/ML
● 1+ years hands-on experience building production agentic AI systems
● Proven experience with LLM APIs (OpenAI, Anthropic, Google)
● Production experience with RAG systems and vector databases
Technical Skills:
● Agent frameworks (LangChain, LlamaIndex, Semantic Kernel)
● Vector databases (Pinecone, Weaviate, ChromaDB)
● Cloud platforms (AWS/GCP/Azure) and ML services
● Prompt engineering and agentic design patterns (ReAct, MRKL)
● AI safety, monitoring, and observability tools Preferred Qualifications
● Fine-tuning experience (LoRA, QLoRA)
● Natural Language Processing
● Multimodal AI systems experience
● Open-source contributions or publications