AI Engineer

Key Responsibilities:

Develop AI architectures frameworks and algorithms that can support large-scale and sophisticated AI solutions including Agentic AI systems capable of autonomous decision-making.

Implement AI models ensuring consistency to standard processes in machine learning deep learning and Agentic AI frameworks.

Develop and maintain AI pipelines incorporating data cleaning pre-processing feature engineering model training and validation processes.

Conduct regular code reviews and provide technical guidance to junior members of the team.

Document AI architectures design decisions and technical specifications for reference and knowledge sharing.

Qualifications:

Expertise & Experience working as an AI Senior Developer with working knowledge of machine learning deep learning Recurrent Learning Reinforcement Learning Generative AI and Agentic AI techniques.

Experience in implementing large-scale AI solutions including data ingestion storage processing and deployment.

Good understanding of cloud computing platforms & their AI services (e.g. AWS Azure Google Cloud) and experience in deploying AI models on cloud native platforms. Experience with tools like MLFlow Kubeflow

Experience in deploying Telco-specific AI applications such as network automation service assurance and customer analytics etc

Experience in programming languages such as Python Java or C and familiarity with popular AI libraries and frameworks (e.g. TensorFlow PyTorch Keras scikit-learn pandas numpy Scipy NLTK OpenAI and Agentic AI frameworks like Langchain/LangGraph).

Excellent problem-solving and analytical skills with the ability to break down complex problems into actionable components.

Strong communication and teamwork skills with the ability to work effectively within multi-functional teams.

Ability to stay updated with the latest advancements in AI technologies frameworks and platforms.

Should have handled larger datasets on data lakes Kafka integration.

Familiarity with AI governance frameworks and responsible AI practices

Knowledge of ethical considerations and responsible AI practices is a plus.

Technical expertise

Development experience with Claude AI is preferred.

Document AI Vertex AI Search Vertex AI Model Garden (Gemini 2.5 Pro / 3.1) FIASS / Vertex AI Vector Search OEM CSAR / MOP / SOP document parsing LLM-based reasoning planning and content generation Auto-generation of standardized MOPs Embedding and semantic retrieval for RAG

LangGraph Vertex AI Agent

Builder Multi-step agent workflow orchestration Tool chaining state management and guardrails Human-in-the-loop and conditional routing logic