Design, implement, and optimize AI-powered applications and workflows using advanced Generative AI techniques. Work on production-scale projects in collaboration with stakeholders.
We are looking for a highly skilled AI Engineer to build and scale enterprise-grade AI solutions using advanced LLMs, agent frameworks, and automation platforms. In this hands-on role, you will design, implement, and optimize AI-powered applications, including autonomous agents, RAG-based knowledge systems, and workflow automation that deliver measurable business value. You will work closely with stakeholders, product owners, AI and cloud, and engineering groups to translate business needs into secure, scalable, and production-ready Generative AI implementations
Responsibilities:
Responsibilities:
- Hands-on expertise in building, fine-tuning, and deploying production-scale Generative AI applications, including AI agents.
- Develop autonomous agents using OCI Generative AI and OCI Agentic AI frameworks (primary), with exposure to LangGraph, Azure AI Foundry, and Google ADK as a plus.
- Design and implement RAG pipelines for accurate contextual responses.
- Integrate Generative AI solutions with Oracle Fusion applications (ERP / HCM / SCM / EPM) using Oracle REST APIs and event frameworks.
- Automate business workflows by leveraging OCI services such as Functions, API Gateway, OIC, and Object Storage.
- Deploy, monitor, and optimize AI agents primarily on OCI, with experience on Azure/GCP considered beneficial.
- Strong concepts in machine learning and Deep Learning with practical experience in PyTorch, Scikit-learn, and TensorFlow.
- Solid backend engineering skills in Python, and experience with Java or NodeJS is a plus.
- Ability to design secure and scalable AI-driven architectures with API management and cloud-native patterns.
- Working knowledge of MLOps practices preferred
- Bachelor or Master degree in Computer Science, Data Science, AI/ML, or equivalent field.
- Overall 4 - 8 years in AI/ML with recent 2–3 years focused on AI, Generative AI and Agentic AI development.
- Expert-level knowledge in Agentic AI, preferably with OCI Generative AI Agents, plus experience using LangGraph, LangChain, Google ADK, and Azure AI Foundry.
- Expert-level Python development skills, with strong experience in PyTorch and TensorFlow.
- Experience integrating AI with Oracle Fusion modules and automating functional workflows through Oracle REST APIs / OIC.
- Good understanding of NLP, prompt engineering, transformer architecture, and related techniques.
- Proven experience deploying AI solutions on OCI with monitoring, scalability, and cost optimization.
- Experience with Docker/Kubernetes and serverless architectures.
- Familiarity with SQL/NoSQL systems, vector databases, and retrieval systems used in RAG pipelines.
- Strong software engineering fundamentals: version control, code quality, testing, and modular design.
- Excellent problem-solving and debugging skills with a focus on performance, security, and cost efficiency.
- Clear communication skills with the ability to articulate technical concepts to non-technical stakeholders.
Top Skills
AI
Docker
Java
Kubernetes
Llms
Node.js
NoSQL
Oci
Oracle Fusion
Python
PyTorch
Scikit-Learn
SQL
TensorFlow
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