Sr. Generative AI Engineer

2 weeks ago

Lahore, Punjab, Pakistan The Hexaa Full time 9,000,000 - 12,000,000 per year

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

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