AI Developer - Google Gemini Enterprise

Job Title - AI Developer

Location - Bangalore/Noida

Mode - Hybrid (UK Shift)

Joining Time required - Immediate to 30 Days only

Role Summary / Job Purpose

Design, develop and operationalise machine learning components for Agentic AI use cases as part of the Agentic AI Centre of Excellence. The role focuses on building, tuning and deploying ML models and AI pipelines with strong alignment to Google Gemini Enterprise driven solutions.

Key Responsibilities

• Build and configure Agentic AI solutions using Gemini Enterprise tools
• Develop and deploy ML models supporting Agentic AI and GenAI use cases
• Build ML pipelines for data preparation, training, evaluation and inference
• Integrate ML models with Gemini‑based agentic workflows
• Support feature engineering, model tuning and performance optimisation
• Collaborate with architects to embed ML models into AI solutions
• Ensure model scalability, reliability and lifecycle management
• Implement monitoring and validation for ML model performance
• Support experimentation and continuous improvement of ML models
• Create technical notes, user guides, playbooks, and provide support for toolkits for scale-up

Key Deliverables / Outcomes

• Production‑ready ML models supporting Agentic AI use cases
• Scalable ML pipelines integrated with Gemini‑based solutions
• Reliable model performance with measurable accuracy and stability
• Reusable ML components and artefacts
• Technical Documentation - Orchestration scripts and configuration documentation

Required Skills & Competencies

Technical Skills

• Experience in AI/NLP/chatbot development; Python, JavaScript and ML frameworks.
• Proficient in Google Cloud, Vertex AI, Gemini Agent Builder and ADK
• Experience in integrating ML models with GenAI / LLM‑based solutions (REST APIs, webhooks, connectors and Vertex AI Extensions)
• Understanding of Google Gemini Enterprise integration patterns
• Prompt engineering and context management for LLMs
• Data processing and feature engineering techniques
• Strong debugging, testing and troubleshooting skills

Domain Skills

• Enterprise‑scale AI solution development
• Exposure to telecom or large enterprise environments
• Understanding of business‑driven AI and automation use cases
• Prior exposure to BT environments – good to have, not mandatory
• Understands corporate security and data privacy

Behavioural / Soft Skills

• Works well with team & an agile environment
• Enthusiastic about new Google AI tools and skill improvement.
• Clear technical communication & collaborative delivery mindset
• Attentive to configuring, security and testing reliability

Experience

• 5+ years of overall experience in data, ML, or AI roles
• Hands‑on experience in ML model development and deployment
• Experience working on enterprise‑scale AI solutions
• Google certifications preferred

Tools & Technologies

• Python, ML frameworks
• Google Gemini Enterprise (integration exposure)
• GCP ML services (preferred)
• Data processing and ML pipeline tools