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.

· Solid 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

📌 AI Engineer (Bengaluru)
🏢 TalentOla
📍 Bengaluru