AI Engineer

Minimum Qualifications

Technical Skills

· Strong programming expertise in Python

· Hands-on experience with LLMs and agentic frameworks (e.g., LangChain, Semantic Kernel, or similar)

· Solid understanding of:

o Embeddings and vector databases (e.g., Pinecone, FAISS, Azure AI Search)

o RAG architectures and pipelines

o Prompt engineering and evaluation techniques

Cloud & Infrastructure

· Good understanding of the Azure cloud ecosystem, including:

o Azure OpenAI Service

o Azure Functions / App Services

o Azure AI Search or equivalent services

· Experience deploying scalable AI/ML solutions in cloud environments

System Thinking

· Ability to design modular, scalable, and reusable AI components

· Understanding of state management, memory architectures, and agent orchestration

· Strong problem-solving and analytical thinking

· Ability to work in a cross-functional, fast-paced environment

· Clear communication skills to collaborate with both technical and non-technical stakeholders

Preferred Qualifications/ Skills

· Experience building multi-agent systems

· Familiarity with evaluation frameworks for LLMs (hallucination detection, response quality, etc.)

· Exposure to MLOps / LLMOps practices

· Knowledge of API integrations and microservices architecture

· Experience in enterprise AI deployments (banking, risk, or financial services preferred)

· Contributions to open-source AI/LLM projects

· Familiarity with agent evaluation benchmarks and guardrails