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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 energetic 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

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