Posted:19 hours ago|
Platform:
On-site
Full Time
Responsibilities:
AI & LLM Engineering
● Build and maintain LLM pipelines, model integrations, and inference workflows.
● Develop APIs and microservices that interact with AI/ML models.
● Optimize model performance, latency, and throughput for production use.
Backend Development
● Architect, design, and implement scalable backend systems for AI products.
● Create robust RESTful/GraphQL APIs and internal services.
● Ensure high system performance, uptime, monitoring, and logging.
Infrastructure & System Design
● Work with cloud platforms (AWS/GCP/Azure) for deployments.
● Implement CI/CD pipelines, containerization (Docker, Kubernetes), and automation.
● Manage databases (SQL/NoSQL) and distributed system components.
Collaboration & Leadership
● Collaborate with cross-functional teams (AI, product, frontend).
● Provide technical leadership, code reviews, and mentorship to junior developers.
● Take ownership of end-to-end features from design to deployment.
Technical Skills:
● 4–10 years of backend development experience.
● Strong skills in Python / Node.js.
● Hands-on experience with:
○ LLM integrations, AI APIs, or conversational AI workflows.
○ Distributed systems, microservices, and event-driven architecture.
○ Databases like MongoDB, Redis, etc.
○ Cloud platforms (AWS/GCP/Azure).
● Experience with system scaling, performance tuning, and production architecture.
● Strong problem-solving skills and ownership mindset.
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