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

Job Qualifications

• 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