AI Engineer

Jobtailor; Lahore; On-site; PKR 3,000,000 - 4,000,000; Full time

Job summary

Jobtailor is seeking an senior AI architect to design and implement enterprise GenAI architecture from the ground up in Lahore. You will build production-ready RAG systems, semantic search pipelines, embeddings workflows, and vector data infrastructure while orchestrating LLMs across multi-step workflows and secure, observable enterprise systems.

You will partner with product leaders, mentor engineers, and drive AI maturity by moving PoCs to scalable, production-grade capabilities.

Qualifications

• 5+ years building applied AI/ML systems with Generative AI.
• Shipping LLM-powered applications including RAG, embeddings, prompts.
• Strong understanding of vector search and semantic retrieval.
• Cloud-native engineering with AWS, Azure, or GCP; observability and CI/CD experience.

Skills

Generative AI

LLM Application Development

Cloud-Native Engineering

Python Programming

AI System Evaluation

Education

Bachelor's Degree in Computer Science

Bachelor's Degree in Computer Engineering

Tools

LangChain

Semantic Kernel

LlamaIndex

AWS

Azure

GCP

Job description

• Design and implement the enterprise GenAI architecture from the ground up
• Build production-ready RAG systems, semantic search pipelines, embeddings workflows, and vector data infrastructure
• Architect LLM orchestration layers for multi-step reasoning, tool usage, and AI-driven workflows
• Define scalable patterns for agentic systems and domain-aware assistants
• Integrate LLM providers including OpenAI, Anthropic, open-weight models, or hybrid approaches into secure, observable enterprise systems
• Build AI service layers, orchestration APIs, caching, evaluation pipelines, and monitoring frameworks
• Design for latency, cost optimization, safety, and reliability at scale
• Establish measurable quality benchmarks and evaluation strategies for AI outputs
• Implement guardrails, policy enforcement, and hallucination mitigation mechanisms
• Define governance standards for data provenance, auditability, and transparency
• Translate high-impact business problems into AI-native architectures
• Partner with product leaders to prioritize AI features that drive measurable value
• Mentor engineers and raise the organization’s AI maturity
• Move teams from PoCs to scalable, production-grade AI capabilities
• Shape AI standards, architecture, and governance across the division
• Deliver customer-facing products and operational intelligence
• Operate at the intersection of AI strategy, architecture, and hands‑on engineering

Requirements

• Bachelor's Degree in Computer Science, Computer Engineering or equivalent technical Degree; or equivalent combination of education and experience
• 5+ years building applied AI/ML systems, with strong recent experience in Generative AI
• Proven experience shipping LLM-powered applications (RAG, embeddings, prompt strategies, model adaptation)
• Deep understanding of vector search, semantic retrieval, and AI system evaluation
• Experience building orchestration layers using frameworks such as LangChain, Semantic Kernel, LlamaIndex, or designing equivalent custom architectures
• Strong cloud-native engineering experience (AWS, Azure, or GCP)
• Advanced Python skills and experience building scalable backend systems and APIs
• Experience implementing observability, CI/CD, and monitoring for AI systems in production
• Ability to balance innovation with enterprise constraints (security, compliance, reliability)

Core Competencies

Demonstrates expertise in designing and implementing enterprise-level Generative AI architectures, with a focus on building scalable AI systems, orchestration layers, and governance standards. Proficient in translating complex business challenges into AI-native solutions while ensuring compliance, reliability, and performance optimization.

Highest-signal resume keywords

• Generative AI Experience
• LLM Application Development
• Cloud-Native Engineering
• Python Programming
• AI System Evaluation

Hard Skills

• Applied AI/ML Systems
• RAG Systems
• Semantic Search
• Vector Data Infrastructure
• Orchestration Layers
• AI Service Layers
• Monitoring Frameworks
• Quality Benchmarks
• Policy Enforcement
• Data Provenance

Soft Skills

• Mentoring
• Collaboration
• Problem-Solving

Certifications & Qualifications

• Bachelor's Degree in Computer Science
• Computer Engineering

Industry Keywords

• Generative AI
• AI Governance
• AI Strategy
• Enterprise Systems
• AI Maturity

Tools & Technologies

• LangChain
• Semantic Kernel
• LlamaIndex
• AWS
• Azure
• GCP