Location:
Pune, Maharashtra

Experience:
7–10 Years Notice Period: Immediate to 45 Days(525) Role Summary We are looking for an experienced Applied AI Engineer to design, develop, and scale production-grade applications. The role involves building LLM-powered applications, RAG pipelines, agentic systems, automation workflows, APIs, and enterprise integrations. The ideal candidate should have robust software engineering fundamentals, hands-on AI/GenAI experience, and excellent communication skills.

Key Responsibilities
• Design, develop, and deploy end-to-end AI and GenAI applications.
• Build and integrate LLM-powered applications, RAG pipelines, AI agents, and automation workflows.
• Develop scalable APIs and microservices for AI solutions.
• Design and implement robust data pipelines and retrieval systems.
• Work on prompt engineering, model evaluation, and performance optimization.
• Build reliable and scalable AI services suitable for production environments.
• Implement observability, monitoring, and reliability practices for AI applications.
• Work with distributed systems and cloud-based architectures.
• Collaborate with technical and business stakeholders to develop AI-driven solutions.
• Contribute to system design, engineering best practices, and technical documentation.
• Mentor junior engineers and support knowledge-sharing initiatives. Must-Have Skills
• 5+ years of relevant professional experience in software engineering and/or AI roles.
• Strong hands-on programming experience in Python or JavaScript/TypeScript
• Practical 4+yrs of work experience working with Large Language Models (LLMs),RAG with relevant 2yrs of Applied AI must have.
• Hands-on experience building RAG pipelines.
• Experience with AI/ML frameworks and libraries.
• Strong and in depth work experience with APIs,



microservices, and databases (SQL/NoSQL)
• 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)
• Strong understanding of Artificial Intelligence and Machine Learning concepts.
• Experience building and integrating APIs and microservices.
• Experience working with distributed systems.
• Familiarity with Kubernetes and Docker.
• Experience with CI/CD pipelines and DevOps practices.
• Hands-on experience with at least one cloud platform: AWS, Azure, or GCP.
• Excellent verbal and written communication skills.
• Strong problem-solving and collaboration skills. Nice-to-Have Skills
• Experience with agentic AI and agent frameworks such as:
• LangGraph
• Semantic Kernel
• Knowledge of vector databases.
• Understanding of hybrid search and advanced retrieval techniques.
• Robust knowledge of system design, scalability, and performance tuning.
• Experience with enterprise system integrations, such as:
• CRM
• ERP
• ITSM
• Experience designing production-grade AI platforms and services.
• Knowledge of AI application observability, evaluation, and monitoring. Keywords Shuld Be Highlighted In Resume AI Engineer | Generative AI | GenAI | LLM | Large Language Models | RAG | AI Agents | Python | TypeScript | Machine Learning | APIs | Microservices | Kubernetes | Docker | CI/CD | AWS | Azure | GCP | Vector Database | Hybrid Search

Skills:
apis,python,agentic ai,ci/cd pipelines,llms,software engineering,rag pipelines,docker,advanced retrieval techniques,devops,kubernetes,aws,vector databases,mooc,azure,artificial intelligence strategy,typescript,distributed systems,ai/ml frameworks,hybrid search,applied ai,ai roles,microservices

📌 Applied AI Engineer (Pune)
🏢 Umanist NA
📍 Pune