The Division:  
Dealer Information Systems Corporation (Client) is a leading business management software provider to agricultural, construction, truck refrigeration and lift truck dealers in North America. Founded in 1980, and based in Bellingham WA (USA); we are a team of 100+ professionals who help customers with Software, Hardware and Network Management so they don't have to deal with many vendors but just one full-service company.  
 
Division Profile: https://www.discorp.com/  

The Position   

The division is seeking a AI Engineer to join its team. This individual will be responsible for designing and developing the AI platform, including building GenAI systems from the ground up, creating production-ready retrieval-augmented generation (RAG) solutions, developing semantic search and embeddings pipelines, and architecting advanced LLM orchestration layers for complex workflows and agentic systems.   

The chosen individual will work out of the Contour Software Lahore or Islamabad resource center office as an extension of the division-based R&D department.  

Essential Duties and Responsibilities  

• AI Platform Architecture:  

• 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.  

• LLM Systems in Production:  

• Integrate LLM providers (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.  

• Responsible & Enterprise-Ready AI:  

• Implement guardrails, policy enforcement, and hallucination mitigation mechanisms.  

• Define governance standards for data provenance, auditability, and transparency.  

• Build AI systems that engineering and compliance teams can trust.  

• AI Adoption & Enablement:  

• 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.  

Required Education and Experience:  

• 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).  

What Makes This Role Different  

• You are not inheriting a legacy AI stack; you will help define it.  

• You will shape AI standards, architecture, and governance across the division.  

• Your work will power real customer-facing products and operational intelligence.  

• You will operate at the intersection of AI strategy, architecture, and hands-on engineering.