HG
Full time
🤖 AI / ML
AI Engineer at Hula Global
Listed by DevShelfHub
Bangalore, India
Hybrid
Mid-level · 3–6 yrs
About the Role
B2C platforms need engineers who can scale AI inference pipelines and build resilient multi-agent orchestration for real-time conversations. Hula Global is hiring an AI Engineer in Bangalore.
What you'll do
- Design and implement asynchronous multi-agent orchestration
- Own end-to-end latency from user message to AI response
- Build resilient inference pipelines under load
- Implement request routing and load balancing for AI workloads
- Migrate AI conversation flow from monolith to dedicated services
- Implement WebSocket/streaming infrastructure for real-time chat
- Design circuit breakers and fallback strategies for AI model failures
- Build observability for AI system performance
- Optimize credit data retrieval and caching strategies
What we're looking for
- 3-5 years building production systems handling 10k+ concurrent users
- Proven experience with async/event-driven architectures (not just REST APIs)
- Hands-on experience scaling ML/AI inference in production
- Deep understanding of caching strategies (Redis, in-memory, CDN)
Skills & Technologies
Required
3-5 years building production systems handling 10k+ concurrent users
Proven experience with async/event-driven architectures (not just REST APIs)
Hands-on experience scaling ML/AI inference in production
Deep understanding of caching strategies (Redis, in-memory, CDN)
Experience with message queues and real-time communication protocols
Built systems integrating multiple LLM/AI models in production
Experience with AI model serving frameworks (TensorFlow Serving, Triton)
Understanding of AI inference optimization (batching, caching, quantization)
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- This role owns AI infrastructure architecture with direct impact on customer subscription retention.
- Design and implement asynchronous multi-agent orchestration
- Own end-to-end latency from user message to AI response
- Build resilient inference pipelines that gracefully degrade under load
- Implement intelligent request routing and load balancing for AI workloads
- Migrate critical AI conversation flow from monolith to dedicated services
- Implement WebSocket/streaming infrastructure for real-time chat
- Design circuit breakers and fallback strategies for AI model failures
- Build comprehensive observability for AI system performance
- Path to leading AI platform team as you scale
- Exposure to cutting-edge AI infrastructure challenges
About Hula Global
Hula Global is hiring for a high-impact AI infrastructure role focused on production systems handling large concurrent user loads. The role emphasizes scaling ML/AI inference, real-time chat infrastructure, and multi-agent orchestration for revenue-generating AI conversations.
- Industry
- Technology
- Company Size
- 500+
- Website
- hulaglobal.com
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Job Details
- Type
- Full time
- Level
- Mid-level
- Experience
- 3–6 years
- Location
- Bangalore, India
- Work Mode
- Hybrid
- Category
- AI / ML
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