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 strong 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