About the job
Scopely is looking for a Senior AI Engineer to join our Gen AI team in Bangalore! At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.
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 supporting real-time systems, automation pipelines, and player-facing features
Drive innovation in: Designing structured protocols for managing AI model context across diverse applications; Creating autonomous agents for decision-making and dynamic interaction
Collaborate across disciplines to translate high-level goals into robust, AI-powered capabilities
Mentor and guide engineers, promote best practices, and contribute to architectural decisions shaping long-term technical direction
Present research, insights, and prototypes that influence product vision and accelerate the adoption of emerging AI technologies
Lead efforts in AI infrastructure, including model deployment workflows, performance tuning, and system observability in production environments
Qualifications
Minimum
5+ years of professional experience in backend or full-stack development using Python, including hands-on AI experience with at least 2 years in a senior role.
Hands-on experience using agentic AI in day-to-day development to build, integrate, and optimize workflows with sub-agents, skills, MCP’s, tool calling, etc.
Strong hands-on experience in building scalable, high-performance APIs using frameworks like FastAPI, Flask, etc.
Proven Track record of atleast 1 year of experience in cloud- native development in AWS /GCP or similar and containerization using Docker
Strong background in software engineering best practices like CI/CD, Git workflows, testing strategies, and production-grade code quality
Solid understanding of distributed systems, microservices architectures, and data management with both SQL and NoSQL technologies
A strong sense of ownership and product thinking — proactively seeking ways to create value and drive impact
Excellent problem-solving and system design skills, with a methodical and scalable approach to complex AI challenges
Strong communicator with the ability to explain technical concepts clearly and influence cross-team decisions
Preferred
Experience with MLOps, reinforcement learning, computer vision, or game AI development
Contributions to open-source AI projects or publications in AI-related domains