Artificial Intelligence Engineer

Mphasis; Hyderabad, Bengaluru; Hybrid; INR 3,500,000 - 7,000,000; Full time

Job summary

Mphasis in Hyderabad, India, seeks an innovative AI Engineering Lead to drive production AI/ML systems, emphasizing LLMs and prompt engineering. The role requires strategic thinking, team leadership, and cost-conscious decisions.

You will build evaluation frameworks, implement observability, and collaborate with cross-functional teams to align AI initiatives with business goals while mentoring engineers to deliver high-quality solutions.

Qualifications

• Proven AI/ML implementation experience in production systems.
• Strong understanding of LLM architecture and practical applications.
• Experience in prompt engineering and evaluation frameworks.
• Excellent Python programming with AI/ML libraries.
• Demonstrated ability to lead teams in fast-paced environments.
• Knowledge of AI observability tools and techniques.
• Strong analytical and problem-solving skills with cost focus.
• Familiarity with cloud AI/ML platforms.

Responsibilities

• Lead design and implementation of AI/ML systems focusing on LLMs.
• Oversee prompt engineering to enhance model performance.
• Develop evaluation frameworks to measure effectiveness and efficiency.
• Implement AI observability to monitor reliability.
• Drive cost optimization across AI/ML projects.
• Collaborate with cross-functional teams to align AI with business goals.
• Mentor and lead a team of AI developers.
• Stay updated with latest AI/ML advancements and methodologies.
• Communicate project status, risks, and opportunities to stakeholders.

Skills

AI/ML production

LLM architecture

Prompt engineering

Python for AI

Team leadership

AI observability

Cost optimization

Education

Bachelor's or Master's in CS/Engineering

AI/ML certifications

Tools

Python

ML libraries

Cloud platforms

Job description

Role & responsibilities

Job Summary

We are seeking an innovative and experienced AI Engineering Lead to spearhead the development and implementation of production AI/ML systems. The ideal candidate will possess a strong background in LLM architecture, prompt engineering, and evaluation frameworks, along with a proven ability to lead teams effectively. This role requires a strategic thinker who can optimize costs while ensuring high-quality AI observability and performance.

Responsibilities

• Lead the design and implementation of AI/ML systems, focusing on large language models (LLMs) and their applications.
• Oversee prompt engineering processes to enhance model performance and user experience.
• Develop and maintain evaluation frameworks to assess the effectiveness and efficiency of AI solutions.
• Implement AI observability practices to monitor system performance and ensure reliability.
• Drive cost optimization initiatives across AI/ML projects without compromising quality.
• Collaborate with cross-functional teams to align AI strategies with business objectives.
• Mentor and lead a team of AI developers, fostering a culture of innovation and continuous improvement.
• Stay updated with the latest advancements in AI/ML technologies and methodologies.
• Communicate project status, risks, and opportunities to stakeholders effectively.

Mandatory Skills

• Proven expertise in AI/ML implementation, with a strong focus on production systems.
• Deep understanding of LLM architecture and its practical applications.
• Experience in prompt engineering and developing effective evaluation frameworks.
• Strong programming skills in Python, with a focus on AI/ML libraries and frameworks.
• Demonstrated ability to lead and manage teams in a fast-paced environment.
• Knowledge of AI observability tools and techniques.
• Strong analytical and problem-solving skills, with a focus on cost optimization.

Preferred Skills

• Familiarity with cloud-based AI/ML platforms and services.
• Experience with data engineering and data pipeline development.
• Knowledge of ethical AI practices and compliance standards.
• Experience in Agile methodologies and project management tools.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Relevant certifications in AI/ML or related technologies are a plus.