AI / ML Engineer

Job Summary:

We are seeking an AI ML Engineer to design, develop, and deploy Generative AI applications, with a focus on Retrieval-Augmented Generation (RAG) and agentic workflows. The ideal candidate will have hands-on experience building applications using LLMs, vector databases, and agent harnesses, along with experience in Azure stack. This role involves developing scalable, production-grade AI solutions that integrate enterprise data with advanced reasoning and automation capabilities.

Responsibilities:

• Design and build agentic applications using Langchain or similar, integrating enterprise data sources (Azure Databricks, documents, APIs).


• Build and optimize RAG vector databases for use by agents using tools like Azure AI Search, or similar.


• Integrate LLMs (Azure OpenAI, GPT models) into enterprise applications with proper prompt engineering and optimization.


• Implement evaluation, monitoring, and guardrails for AI systems (accuracy, bias, hallucination control).


• Collaborate with data engineers and application teams to integrate AI solutions into production systems.


• Optimize application performance, latency, and cost for large-scale deployments.


• Communicate insights clearly to both technical and non-technical stakeholders.

Minimum Qualifications:

• 2+ years of experience in AI/ML Engineering, Data Science, or related field.


• Experience using data from Azure Databricks or similar relational databases.


• Strong hands-on experience with Python (core development language), Git, Github; LLM frameworks especially Langchain; RAG architectures and vector search concepts.


• Experience with Azure AI ecosystem, including Azure OpenAI models and Azure AI Search.


• Understanding of AI ML concepts, LLMs, vector databases, RAG, agents.


• Familiarity with APIs, microservices, MCP and scalable system design.


• Strong communication skills.

External Skills And Expertise:

• RAG.


• Azure.


• AI.


• ML.


• LLM.