AI-ML Engineer

Primary Functions:

• Build and deploy ML and Generative AI solutions into production systems

• Productionize models using APIs, microservices, or batch pipelines

• Implement LLM-based systems (RAG, embeddings, evaluation, prompt optimization)

• Optimize performance, latency, cost, and reliability of AI services

• Maintain model monitoring, logging, and retraining workflows

• Work with data engineers to ensure data quality and availability

• Follow established MLOps, DevOps, and cloud standards

• Troubleshoot model, data, and infrastructure issues

The qualifications we are looking for are mixture of work experience and educational

background.

They are split into Minimum Qualifications (must have) and Additional Qualifications (nice to

have) along with soft skills (competencies) needed for the role:

Minimum Qualifications:

• 4+ years of experience with large language models (LLMs) and natural language

processing (NLP) using: LangChain, LangGraph, LlamaIndex

• 3+ years of experience supporting and developing API/Microservices with Java, .Net or

JavaScript.

• 3+ years of experience working with generative AI tools (e.g., OpenAI’s GPT, Anthropic

Claude, Google Gemini).

• 3+ years of experience working as developer with Python.

• 3+ years of experience with machine learning frameworks (e.g., TensorFlow, PyTorch)

• 3+ years of experience working with relational databases (SQL)

Additional Qualifications:

• AI certifications• ML certifications

• Cloud certifications (AWS, Azure)

Soft Skills:

• Demonstrated track record of working effectively within a collaborative and cohesive,

team-based environment

• Outstanding customer service and organizational skills

• Exceptional analytical, troubleshooting, and problem-solving skills