Senior Agentic AI Engineer (ID: 4120)
- Experience
- 8+ years
- Practices
- MLOps
As a Senior Agentic AI Engineer, you will Design, develop, and deploy enterprise-grade AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multi-agent systems. Build intelligent AI applications, automation workflows, virtual assistants, and data-driven decision-support solutions. Develop and optimize AI workflows using frameworks such as LangChain, Llama
Index, Azure OpenAI, or similar technologies. Implement embedding strategies and integrate vector databases to enable efficient semantic search and knowledge retrieval. Design, build, and maintain scalable AI and data pipelines on cloud platforms such as Microsoft Azure and AWS.
Implement MLOps practices for model deployment, monitoring, evaluation, performance optimization, and retraining. Collaborate with business stakeholders, data engineers, software engineers, and other technical teams to deliver AI-driven solutions. What You Bring to the Table 8–10 years of overall experience in Software Engineering, Data Engineering, AI Engineering, or related technical fields.
Strong programming skills in Python and SQL. Hands-on experience developing LLM-based applications and Agentic AI solutions. Practical experience with RAG architectures, embeddings, vector databases, and multi-agent systems.
Experience with LangChain, Llama
Index, Azure OpenAI, or equivalent AI frameworks and services. Knowledge of Databricks, Apache Spark, and Apache Airflow for data processing and orchestration. Experience