Job Overview

We are looking for an innovative and hands-on AI Engineer to design, build, and optimize next-generation AI solutions focused on Agentic AI systems and Retrieval-Augmented Generation (RAG) architectures. The ideal candidate will have strong experience in building intelligent applications using modern AI frameworks, vector databases, and cloud-based AI platforms—preferably within Microsoft Azure ecosystem tools such as Azure AI Foundry and related SDKs.

You will work closely with product, engineering, and data teams to develop scalable AI agents, deploy production-grade GenAI applications, and monitor model performance through robust AI telemetry and observability practices.

Key Responsibilities

Design and develop Agentic AI applications using modern agent frameworks (e.g., LangChain, LlamaIndex, AutoGen, Semantic Kernel).
Build and optimize RAG (Retrieval-Augmented Generation) pipelines including:
Document ingestion and chunking
Embedding generation
Vector database design and management
Retrieval optimization and prompt orchestration
Create and manage vector stores/databases such as Azure AI Search, Pinecone, Weaviate, or Chroma.

Develop AI solutions using Azure AI Services, including:

Azure OpenAI Service
Azure AI Foundry
Azure Machine Learning
Azure AI Search
Utilize Foundry SDKs and APIs to build, test, and deploy enterprise AI solutions.
Implement AI telemetry and observability using tools such as Azure Monitor, Application Insights, LangSmith, or OpenTelemetry.
Monitor model performance, latency, hallucinations, prompt quality, and system reliability.
Collaborate with engineering teams to deploy secure, scalable, and production-ready AI solutions.

Required Skills & Qualifications

3+ years of experience in AI/ML Engineering, GenAI, or LLM application development
Strong experience with Agentic AI frameworks
Hands-on experience building RAG systems and vector databases
Experience with Azure AI Services and cloud-native AI deployments
Experience using Azure AI Foundry / Foundry SDKs
Strong understanding of AI telemetry, observability, and model monitoring
Lead Data & AI presales opportunities, including discovery, solutioning, proposal development, estimation, presentations and technical responses.
Proficiency in Python
Experience with APIs, prompt engineering, and LLM orchestration
Familiarity with Docker, CI/CD, and cloud deployment practices

Nice to Have

Experience with multi-agent workflows
Knowledge of fine-tuning and model evaluation
Experience with Kubernetes and MLOps pipelines
Exposure to responsible AI and AI governance frameworks

Presales Azure AI Engineer