Role Summary Design, develop, and scale production-grade AI/GenAI applications, including agentic systems and enterprise integrations.

Key Responsibilities
• Build and deploy end-to-end AI and GenAI systems (RAG, agents, automation workflows)
• Design APIs and microservices for scalable AI solutions
• Implement robust data pipelines and retrieval systems
• Optimize prompt engineering, evaluation, and model performance
• Ensure reliability, observability, and scalability of AI services
• Collaborate with stakeholders to drive AI-driven solutions
• Mentor junior engineers and contribute to best practices Required Skills
• 5–8 years of experience in software engineering/AI roles
• Strong programming skills in Python or TypeScript (Java/Go is a plus)
• Hands-on experience with LLMs, RAG pipelines, and AI frameworks
• Experience building APIs and working with distributed systems
• Familiarity with Kubernetes, Docker,



and CI/CD pipelines
• Experience with cloud platforms (AWS/Azure/GCP)
• Candidates should primarily be Software Engineers or Software Developers with strong Full-Stack/Backend development experience.
• They must have 2 years of Applied AI experience, including:
• MOOC platforms and chatbot agents
• RAG (Retrieval-Augmented Generation)
• LLMs (Large Language Models)
• Web Security
• MCP (Model Context Protocol) Preferred Skills
• Experience with agent frameworks (LangGraph, Semantic Kernel)
• Knowledge of vector databases and hybrid search techniques
• Robust understanding of system design, scalability, and performance tuning
• Exposure to enterprise system integrations (CRM, ERP, ITSM)

Skills:
agents,enterprise,pipelines

📌 AI Engineer (Pune)
🏢 Altraize
📍 Pune