Description

Key Responsibilities

• Develop Generative AI applications using LLMs and multimodal AI models.
• Build conversational assistants, copilots, AI agents, and workflow automation solutions.
• Implement Retrieval-Augmented Generation (RAG) using embeddings and vector databases.
• Design prompts, context management, and agent orchestration.
• Integrate AI solutions with enterprise applications, APIs, databases, and cloud platforms.
• Develop reusable AI frameworks, services, and security guardrails.
• Evaluate AI solutions for accuracy, performance, reliability, latency, and cost.
• Implement testing, monitoring, deployment pipelines, and production support.
• Ensure AI security, data privacy, access controls, and governance compliance.
• Collaborate with engineering, architecture, cybersecurity, and business teams.

Mandatory Skills & Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
• Strong programming experience in Python, Java, JavaScript, or similar languages.
• Hands-on experience with LLMs, foundation models, and prompt engineering.
• Experience with AI agent frameworks and tool calling.
• Strong understanding of RAG, embeddings, vector databases, and semantic search.
• Experience with REST APIs, event-driven architecture, and distributed cloud applications.
• Knowledge of Docker, Kubernetes, Git, CI/CD pipelines, and infrastructure automation.
• Understanding of AI security, privacy, governance, and production monitoring.
• Strong problem-solving and communication skills

Key Skills

Education

Bachelor's degree