SENIOR ENGINEER - Gen AI

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SENIOR ENGINEER - Gen AI

Happiestmind

Not specified

5-6 years

Today

$38.6K–45.8K/yr

Full-time

Onsite

Skills Required

Agentic AI

LLM

Prompt Engineering

Python

SQL

SQL databases

Backend architecture

AI orchestration

Description

Senior Engineer - Gen AI role focused on building agentic AI systems, multi-agent workflows, and LLM-integrated solutions. The position emphasizes Python, APIs, SQL-driven pipelines, collaboration, and production-grade security and compliance.

Company: Happiestmind

Role: SENIOR ENGINEER - Gen AI

Experience

• 5-6 years of Python experience
• 1-2 years working on agentic AI and production systems
  
  

Qualification

• Computer Science
• Engineering
• Information Technology
• relevant certifications in cloud, AI/ML, or Python
  
  

Responsibilities

• Develop and implement agentic AI systems and multi-agent workflows
• Integrate large language models within existing platforms
• Design and develop Python APIs for scalable AI features
• Conduct prompt engineering to improve accuracy and efficiency
• Write Python scripts and build SQL-driven data pipelines
• Generate technical documentation for architecture, code, and deployment
• Collaborate with cross-functional teams to align AI development with business goals
• Provide technical guidance and mentorship to colleagues and junior team members
  
  

Additional Responsibilities

• Participate in architecture reviews, code reviews, and production support
• Uphold quality, security standards, and technical coordination standards
• Contribute to cost optimization efforts across AI development and deployment
• Participate in budget planning and resource allocation for AI projects
• Support troubleshooting, code reviews, architecture discussions, security reviews, and architecture assessments
• Monitor system performance and maintain high security standards
  
  

Nice To Have

• Cloud certifications
• AI/ML certifications
• Python certifications
  
  

More Skills

multi-agent workflows, Python APIs, SQL-driven data pipelines, technical documentation, architecture reviews, code reviews, production support, security compliance, cost optimization, budget planning, resource allocation, problem solving, analytical thinking, communication, collaboration

Prepare for this role

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