Senior Agentic AI Engineer

Home/Jobs/Senior Agentic AI Engineer

Senior Agentic AI Engineer

Scopely

Bengaluru

5+ years

Today

$37.3K–50.6K/yr

Full-time

Hybrid

Skills Required

Agentic AI

Machine Learning

FastAPI

Flask

AWS

GCP

Docker

CI/CD

Git

Testing

Distributed Systems

Microservices

SQL

NoSQL

MLOps

Description

Scopely is hiring a Senior Agentic AI Engineer for its Gen AI team in Bangalore. The role focuses on building scalable AI systems for analytics, automation, and in-game experiences.

Company: Scopely

Role: Senior Agentic AI Engineer

Location: Bangalore, India | Hybrid

Experience

• 5+ years of professional experience in backend or full-stack development using Python
• At least 2 years in a senior role with hands-on AI experience
• At least 1 year of experience in cloud-native development in AWS, GCP, or similar
• Hands-on experience using agentic AI in day-to-day development
• Strong background in software engineering best practices
• Solid understanding of distributed systems, microservices architectures, and SQL/NoSQL data management
• Strong problem-solving and system design skills
• Strong communicator with ability to influence cross-team decisions
  
  

Responsibilities

• Lead the strategic design, development, and deployment of advanced AI systems for conversational analytics, knowledge bases, QA automation, and in-game intelligent experiences
• Architect and implement scalable AI solutions for real-time systems, automation pipelines, and player-facing features
• Design structured protocols for managing AI model context across diverse applications
• Create autonomous agents for decision-making and dynamic interaction
• Collaborate across disciplines to translate high-level goals into AI-powered capabilities
• Mentor and guide engineers and promote best practices
• Contribute to architectural decisions shaping long-term technical direction
• Present research, insights, and prototypes that influence product vision and accelerate adoption of emerging AI technologies
• Lead AI infrastructure efforts including model deployment workflows, performance tuning, and system observability in production environments
  
  

Additional Responsibilities

• Prototype and research emerging AI methods
• Integrate scalable solutions into production pipelines and game technologies
• Drive innovation in agentic AI workflows
  
  

Nice To Have

• Experience with MLOps, reinforcement learning, computer vision, or game AI development
• Contributions to open-source AI projects
• Publications in AI-related domains
  
  

More Skills

Python, Sub-agents, Skills, MCPs, Tool calling, Git workflows, Testing strategies, Reinforcement learning, Computer vision, Game AI

Prepare for this role

Recommended resources to build the skills for this position. Sponsored.

Top 50 AI Agent Interview Questions

Zenaique

Curated AI agent interview questions from Zenaique.

Top 100 Agentic AI Interview Questions

Zenaique

An extended AI agent interview question set from Zenaique.

Top 50 Multi-Agent Systems Interview Questions

Zenaique

Curated multi-agent systems questions from Zenaique.

More Agentic AI jobs

AI/ML Developer

Vrinsoft Technologies

Ahmedabad

Today

AI Agent Operations Engineer

S3 Staff

Pune

Today

Remote Opportunity - Talent Factory - AI Consultants

Emagine

India

Today

Python Lead Developer → AI Lead

Tachyon Tech

Hyderabad

Today

Generative AI / AI Lead

Thinkwires

Gurugram

1 day ago

AI Engineer

Yara

United State

1 day ago

---