Strong AI/ML engineering and software development experience
Expertise in LLMs, Gemini APIs, Vertex AI, and Google Cloud
Experience building agentic AI workflows, copilots, and intelligent agents
Hands-on implementation of RAG systems and vector databases
Strong prompt engineering skills and applied analytics knowledge
Ability to integrate AI solutions with enterprise systems
Experience with middleware, orchestration layers, and API integrations
Knowledge of AI observability, evaluation frameworks, guardrails, and security controls
Strong problem-solving, debugging, and rapid prototyping ability
Excellent communication and stakeholder management skills
Ability to thrive in fast-paced, ambiguous environments with ownership mindset
Key Responsibilities
Develop and deploy AI solutions using Gemini Enterprise, Vertex AI, and Google Cloud
Build prototypes, POCs, and production-grade AI applications rapidly
Design and implement agentic workflows, RAG systems, and AI orchestration pipelines
Integrate LLMs with enterprise platforms and build middleware layers
Create intelligent copilots, multi-modal demos, and automation workflows
Ensure AI systems meet standards for reliability, s ecurity, explainability, and compliance
Implement monitoring, evaluation, and human-in-the-loop frameworks
Work directly with clients to gather requirements and design AI solutions
Lead technical discussions, discovery workshops, and solution demos
Act as a bridge between business stakeholders and engineering teams