Senior AI Engineer
New
Remote-first work setup based in IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSPythonSQLGCPKubernetesMLOpsDistributed Systems
Requirements
- 5+ years of experience in backend engineering or system integration roles, with strong exposure to production-grade distributed systems.
- Proven experience building and scaling integrations across multiple services, APIs, or platforms in complex environments.
- Strong proficiency in Python and SQL for building backend services, data pipelines, and AI system integrations.
- Hands-on experience deploying production AI systems such as LLM applications, vector search, or ML inference pipelines.
- Deep understanding of backend architecture and system design, with the ability to integrate AI tools into existing systems efficiently.
- Experience building observable, versioned, and reproducible systems rather than experimental or prototype-level solutions.
- Strong communication and mentoring skills, with the ability to guide engineers and influence architectural decisions across teams.
Responsibilities
- Design and implement end-to-end AI integration architectures connecting LLM APIs, vector databases, and backend systems across multiple production environments.
- Build reusable ML and AI infrastructure components such as data pipelines, model serving layers, and evaluation frameworks that can be standardized across portfolio companies.
- Define and enforce best practices for AI system integration, including governance, reproducibility, monitoring, and deployment standards.
- Lead system design reviews for AI initiatives, identifying performance bottlenecks and recommending scalable architectural improvements.
- Optimize production AI systems for latency, cost, and efficiency through profiling, tuning, and infrastructure improvements.
- Mentor engineering teams across different companies on production AI patterns, safe deployment practices, and scalable system design.
- Collaborate cross-functionally to ensure AI systems integrate seamlessly into existing backend ecosystems without requiring major architectural overhauls.
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