Job Description
Must-Have Skills
- 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
