AI Developer

We are seeking a hands-on AI Developer with 14 years of experience to join our fast-growing AI engineering team. Youll be part of a group delivering enterprise-grade GenAI solutions AI agents and cloud-native AI services using cutting-edge techniques including prompt engineering MCP (Model Context Protocol) and MLOps.
Youll collaborate with senior AI engineers and architects building scalable intelligent applications that drive business impact across industries using OCI Python and LLM-based systems.

What We Offer

• Work on impactful AI Project & Initiatives involving MCP GenAI and AI Agents.
• Mentorship from senior AI professionals working across LLMs OCI and MLOps pipelines.
• A culture of innovation learning and practical experimentation.
• Clear path to grow into AI Specialist or Technical Lead roles based on delivery excellence.

Key Responsibilities

• Build and deliver AI Agents using GenAI frameworks orchestrated through Model Context Protocol (MCP) to enable multi-step reasoning and tool invocation.
• Engineer prompt-based workflows integrating LLMs with enterprise applications through REST APIs and OCI components.
• Develop and deploy AI models on OCI Functions containerize them using OKE and scale them through automated pipelines.
• Contribute to GenAI use case delivery across natural language querying document intelligence and process automation.
• Support MLOps practices for model versioning continuous deployment and monitoring in production.
• Write and optimize SQL queries and manage integration with structured data sources.
• Participate in system design performance tuning and end-user experience optimization for AI features.

Required Qualifications

• Masters degree in Artificial Intelligence Machine Learning Data Science or a related field.
• 14 years of experience in Python development with exposure to ML/AI pipelines.
• Hands-on familiarity with Model Context Protocol (MCP) and AI Agent orchestration frameworks.
• Experience building solutions on Oracle Cloud Infrastructure (OCI) including Functions OKE and storage services.
• Strong understanding of prompt engineering LLM APIs (OpenAI Cohere etc.) and embeddings.
• Proficiency with SQL REST APIs and containerized development (Docker/K8s).
• A passion for continuous learning prototyping and implementing state-of-the-art GenAI capabilities.

Ideal Candidate Traits

• Builders mindset with strong curiosity for emerging AI technologies and techniques.
• Ability to research evaluate and implement latest AI papers tools or APIs quickly.
• Comfortable switching contexts between coding system debugging and conceptual solutioning.
• Collaborative and proactive in team environments with a strong sense of ownership.

Interview Process

• Round 1: Deep coding test Python logic and ML patterns
• Round 2: Technical interview MCP AI Agent flow prompt design OCI skills
• Round 3: Solution walkthrough Design and delivery thinking
• Round 4 (Optional): Culture and growth alignment

Career Level - IC1