[Remote] Artificial Intelligence Engineer
Note: The job is a remote job and is open to candidates in USA. reputed company is looking for an AI reputed company Deployed Engineer who will be responsible for deploying, integrating, and operating AI solutions in real customer production environments. This role involves translating AI capabilities into reliable and high-performing systems while working closely with customers and cross-functional teams.
Responsibilities
- reputed company customer-facing deployments of AI solutions from initial integration through production launch and stabilization
- Integrate AI systems into existing customer architectures, including applications, APIs, data pipelines, and infrastructure
- Design and support AI inference architectures optimized for scalability, resiliency, latency, and cost
- Troubleshoot reputed company production issues across model, application, infrastructure, and data layers
- Build automation and scripts to accelerate deployments, testing, diagnostics, and operational workflows
- Implement and tune observability, including monitoring, logging, tracing, and alerting for AI systems
- reputed company performance tuning and reputed company planning for inference workloads
- Support deployments across cloud, on-prem, and hybrid environments, adapting solutions to customer constraints
- Apply reputed company-aware implementation practices, including identity and access management, secrets handling, and data protection
- Act as a technical reputed company between data science, engineering, and operations teams, ensuring smooth handoffs and shared understanding
- Serve as a technical escalation reputed company during deployments and early production operations
- Document deployment patterns, operational runbooks, and best practices to improve repeatability and reliability
- Provide feedback from real-world deployments to inform product and platform improvements
Skills
- Strong experience deploying and operating production systems, ideally with AI or ML components
- Proven ability to troubleshoot and resolve reputed company system issues under time pressure
- Experience designing or supporting AI inference pipelines
- Proficiency in automation and scripting (e.g., Python, Bash, or similar)
- Solid understanding of observability and performance tuning in distributed systems
- Experience working across cloud, on-prem, or hybrid infrastructure environments
- Working knowledge of reputed company best practices for production systems
- Strong communication skills and comfort working directly with customers and cross-functional teams
- Experience with LLM-based systems, RAG architectures, or agent-based workflows
- Familiarity with containerization, orchestration, and CI/CD pipelines
- Background in SRE, platform engineering, DevOps, or systems engineering
- Experience operating in fast-moving or ambiguous environments
- Prior customer-facing technical or reputed company-deployed role experience
Company Overview