AI Engineer developing advanced AI and computer vision systems for industrial automation at Synergeticon. Leveraging cutting - edge research to create production - ready solutions.
About the role
- Senior AI Engineer at Contour Software designing GenAI systems for diverse enterprise solutions. Responsible for AI platform architecture, production-ready systems, and LLM orchestration layers.
Responsibilities
- 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.
- Build AI systems that engineering and compliance teams can trust.
- 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
Job title
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