We are looking for an experienced AI Engineer responsible for designing, developing, and deploying Generative AI and Agentic AI solutions that support enterprise-scale business use cases. The role will build intelligent systems that integrate complex backend services and client-facing applications across web, mobile and enterprise platforms.
The primary responsibility is to design and develop AI-powered applications, autonomous agents and multi-agent workflows while coordinating with cross-functional teams across architecture, engineering, product and business functions. A commitment to collaborative problem solving, sophisticated design and product quality is essential.
This role requires robust hands-on engineering experience, practical working knowledge of modern agent frameworks, and the ability to deliver secure, scalable, observable and governed AI solutions in cloud-native environments.
Qualifications & Experience
Minimum Qualification
Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Data Science,
Artificial Intelligence or a related discipline.
Relevant cloud, AI engineering, machine learning or architecture certifications are preferred.
Minimum Experience
Senior skilled with around 10 years of total software engineering, architecture, cloud or platform engineering experience.
Minimum 3+ years of relevant hands-on AI Engineering experience, including Generative AI and practical LLM-based application delivery.
Solid proficiency in Python, including NumPy, pandas, FastAPI and hands-on experience with PyTorch or TensorFlow.
Hands-on experience with LangChain and LangGraph; mandatory working experience with Microsoft Semantic Kernel and Microsoft AutoGen.
Experience implementing RAG using embeddings, vector databases, semantic search, retrieval optimization and model evaluation techniques.
Experience deploying and managing models using Amazon Bedrock, Azure OpenAI Service and Google Vertex AI.
Hands
📌 Ai Engineer – Generative Ai Bengaluru (India)
🏢 Dicetek
📍 India