Contour Software

AI Engineer

Contour Software

full-time

Posted on:

Location Type: Office

Location: Lahore • Pakistan

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Tech Stack

AWSAzureCloudGoogle Cloud PlatformPython

About the role

  • 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 (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.

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).
Benefits
  • Market-leading Salary
  • Medical Coverage – Self & Dependents
  • Parents Medical Coverage
  • Provident Fund
  • Employee Performance-based bonuses
  • Home Internet Subsidy
  • Conveyance Allowance
  • Profit Sharing Plan [Tenured Employees Only]
  • Life Benefit
  • Child Care Facility
  • Company Provided Lunch/Dinner
  • Professional Development Budget
  • Recreational area for in-house games
  • Sporadic On-shore training opportunities
  • Friendly work environment
  • Leave Encashment
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Generative AILLM orchestrationRAG systemssemantic searchembeddings workflowsvector data infrastructurePythoncloud-native engineeringCI/CDobservability
Soft Skills
mentoringcollaborationproblem-solvinginnovationprioritization