📋 Description

• Lead discovery and solution-shaping for GenAI and AI-enabled workflows with client stakeholders.
• Collaborate with account executives and tech teams to define scope, prototypes, and roadmaps.
• Translate business challenges into practical AI architectures, including model selection and
• Build rapid proofs-of-concept and prototypes using real or representative data.
• Evaluate AI frameworks, LLMs, vector databases, and cloud AI services based on needs.
• Present complex concepts clearly to executives, users, and engineers.

🎯 Requirements

• 8+ years of professional IT experience in software engineering, system design, or related areas.
• At least 2 years building GenAI/agentic AI systems with modern LLM ecosystems (OpenAI, Anthropic
• Strong software engineering background with integrating LLMs, enterprise data, AI agents, and
• Solid understanding of LLM orchestration, retrieval-augmented generation, vector databases, prompt
• Experience with one major cloud platform (AWS/Azure/GCP) and AI/ML services; knowledge of CI/CD
• Excellent communication, stakeholder management, and ability to translate technical concepts for

🎁 Benefits

• Opportunity to work on real-world GenAI and agentic AI transformation projects across industries.
• Exposure to startup innovation and enterprise transformation initiatives.
• Hands-on involvement across the full AI solution lifecycle, from discovery to MVP deployment.