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Senior AI Engineer
Contour Software. Design and implement the enterprise GenAI architecture from the ground up .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing enterprise-level Generative AI architectures, including LLM orchestration and production-ready AI systems. Proven ability to mentor teams and drive AI maturity while ensuring compliance and reliability in scalable solutions.
Highest-signal resume keywords
Generative AI Architecture DesignLLM-Powered Application DevelopmentCloud-Native Engineering (AWS, Azure, GCP)Advanced Python ProgrammingAI System Evaluation and Monitoring
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Applied AI/ML Systems DevelopmentVector SearchSemantic RetrievalOrchestration Layer DevelopmentRAG SystemsEmbeddings WorkflowsAI Service Layer DesignEvaluation Pipeline ImplementationGuardrails and Policy EnforcementCost Optimization Strategies
Soft Skills
MentoringCollaborationProblem-Solving
Tools & Technologies
LangChainSemantic KernelLlamaIndexCI/CD ToolsMonitoring Frameworks
Certifications & Qualifications
Bachelor's Degree in Computer ScienceComputer Engineering or Equivalent Technical Degree
Industry Keywords
AI Governance StandardsData ProvenanceAuditabilityTransparencyAI-Driven Workflows
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPython
About the role
Key responsibilities & impact- 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
- Build AI capabilities powering customer-facing products and operational intelligence
Requirements
What you’ll need- 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
Comp & perks- 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