L3 AI App Support Engineer

6-8 Years

Job Description

Key Responsibilities

Provide advanced L3 technical support for AI/GenAI applications, including complex debugging, root cause analysis, and code-level resolution.
Analyse and enhance Python-based AI applications and backend services.
Troubleshoot and improve RAG pipelines, including retrieval, prompt engineering, orchestration, embeddings, and response quality.
Work on LLM integrations such as OpenAI API and AWS Bedrock.
Develop, debug, and enhance applications using LangChain and LangGraph.
Work with Agentic AI tools and architectures to improve AI application capabilities.
Support model training, fine-tuning, evaluation, and optimization activities.
Diagnose application and infrastructure issues across Azure and Kubernetes/AKS environments.
Work with Azure AI Search/Cognitive Search and Snowflake Cortex Search for enterprise knowledge retrieval.
Monitor application and model performance using Datadog, Fiddler, and similar observability tools.
Collaborate with development, platform, and MLOps teams to implement permanent fixes and improve application reliability.
Participate in release activities, code enhancements, performance improvements, and production deployments.
Develop and maintain runbooks, troubleshooting guides, technical documentation, and knowledge-base content.
Identify recurring issues and implement automation or engineering solutions to reduce incidents.
Contribute to MLOps and LLMOps practices, including deployment, monitoring, model lifecycle, and operationalization.

Required Skills & Qualifications

6+ years of experience in software/AI engineering, application support, or a related technical role.
Strong hands-on experience with Python development and debugging.
Solid experience with Generative AI, LLMs, RAG, and enterprise AI applications.
Strong understanding of MLOps and LLMOps concepts.
Hands-on experience with LangChain and LangGraph.
Experience with Agentic AI tools/frameworks and AI orchestration.
Experience with LLM APIs, preferably OpenAI API and AWS Bedrock.
Strong understanding of RAG architecture, embeddings, vector search, prompt engineering, and retrieval optimization.
Experience with model training, fine-tuning, evaluation, and performance optimization.
Hands-on experience with Microsoft Azure and Kubernetes/AKS.
Experience with Azure AI Search/Cognitive Search and Snowflake Cortex Search.
Experience with observability tools such as Datadog and Fiddler.
Strong troubleshooting, debugging, analytical, and problem-solving skills.
Ability to understand existing codebases, identify defects, and implement code-level solutions and enhancements.
Ability to work effectively in environments with limited documentation and independently drive technical solutions.

Job Type:

Industry:

Function:

Employment Type:

Job ID: 152605271

Jobs by Skill - IT

Jobs by Skill - Non IT

International Jobs

Last Updated: 21-08-2026 08:59:48 PM