Key Responsibilities:

• Scope, design, and deliver applied AI solutions — LLM workflows, RAG systems, agentic automation, and model evaluation — integrated into client and business systems.
• Work directly with clients through discovery, solution design, demos, and delivery, translating business problems into AI that holds up in production.
• Define patterns and specifications for the prompt-development pod to build against; review and guide their production builds.
• Establish evaluation criteria and measure solution quality, accuracy, and ROI.
• Advise clients on AI readiness, data, and responsible, safe deployment.
• Contribute to Caravel's reusable AI accelerators and go-to-market offerings.

Preferred Qualification:

• 4+ years in AI/ML, data science, or applied AI engineering, including hands-on work with LLMs in production or near-production settings.
• Strong Python and modern AI tooling; experience with RAG, embeddings/vector stores, and at least one major LLM provider or framework.
• Client-facing skills — you can lead a working session, explain trade-offs to non-technical stakeholders, and manage scope.
• Fluent English and consistent overlap with US business hours.
• A pragmatic, outcomes-first approach — you optimize for client value, not novelty.

Preferred Skills:

• Consulting or professional-services background.
• Exposure to ERP/CRM platforms (NetSuite, Salesforce) or finance/operations data.
• Experience standing up evaluation, observability, or guardrail frameworks.
• Cloud (AWS/Azure/GCP) and MLOps familiarity.

Type:

• Full-time

Location:

• Bengaluru

Team:

• Technology Solution Services (TSS)

Workplace:

• Remote