AI Application engineer
Inficare
Role - AI Application engineer
Location - Santa Clara, CA (Onsite)
Duration - 12+ months Need candidate to Prepare , Complete Coding assessment AI Application engineer who understands data as well as application ; primary databricks and secondary snowflake Description
Key Responsibilities
Application Development
Location - Santa Clara, CA (Onsite)
Duration - 12+ months Need candidate to Prepare , Complete Coding assessment AI Application engineer who understands data as well as application ; primary databricks and secondary snowflake Description
Key Responsibilities
- Design and develop AI-powered applications using machine learning, generative AI, and data-driven services.
- Integrate ML models, LLMs, and AI services into web, mobile, and enterprise applications.
- Build production-grade APIs and microservices to serve AI predictions and insights.
- Collaborate with data scientists and ML engineers to operationalize models.
- Implement prompt engineering, model orchestration, and inference pipelines .
- Ensure performance, scalability, security, and reliability of AI applications.
- Work on real-time and batch AI inference use cases.
- Implement observability and monitoring for AI behavior and application health.
- Handle model versioning, rollback strategies, and A/B testing .
- Ensure compliance with data privacy, responsible AI, and governance standards .
- Participate in architecture reviews and contribute to AI application best practices.
- Troubleshoot application and inference issues in production environments.
- Mentor junior developers and contribute to technical documentation.
Application Development
- 5-6 years of experience in application development or software engineering .
- Strong proficiency in Python and/or JavaScript/TypeScript .
- Experience with backend frameworks (FastAPI, Flask, Django, Node.js).
- Strong understanding of REST APIs, microservices, and system design .
- Experience with frontend frameworks is a plus (React, Angular, Vue).
- Hands-on experience integrating ML models and AI services into applications.
- Understanding of ML lifecycle , inference patterns, and model usage.
- Experience with Generative AI / LLMs (OpenAI, Azure OpenAI, AWS Bedrock, Hugging Face).
- Knowledge of prompt engineering, context management, and RAG (Retrieval-Augmented Generation) .
- Familiarity with embeddings and vector search.
- Strong SQL skills and experience with databases (relational & NoSQL) .
- Experience integrating with data pipelines, feature stores, and analytics systems .
- Knowledge of APIs, caching layers, and messaging systems (Kafka, RabbitMQ).
- Hands-on experience with cloud platforms (AWS / Azure / GCP).
- Experience deploying AI applications using Docker & Kubernetes .
- Familiarity with CI/CD pipelines .
- Experience with cloud-native AI services is a plus.
Vacancy posted 4 days ago
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