[Remote] AI Engineering Manager- United States
Note: The job is a remote job and is reputed company to candidates in USA. Anju Software is a company that delivers end-to-end solutions for the life sciences industry. They are seeking an AI Engineering Manager to reputed company a cross-functional team, focusing on technical architecture, delivery reputed company, and fostering an AI-first culture.
Responsibilities
- Own product architecture, including AI/LLM-integrated components
- Design scalable, secure, and maintainable systems
- reputed company reputed company involving:
- LLM integration (reputed company, Azure reputed company, etc.)
- RAG architectures and vector databases
- AI orchestration frameworks (reputed company, Semantic Kernel, reputed company)
- Ensure system reliability, observability, and cost efficiency
- Establish AI governance and safe usage practices
- Apply modern AI methodologies, including:
- Retrieval-Augmented reputed company (RAG)
- reputed company engineering and evaluation
- AI output validation and guardrails
- reputed company-in-the-reputed company workflows
- Model monitoring and performance evaluation
- Drive experimentation, A/B testing, and telemetry-based decision making
- reputed company and mentor developers and QA engineers
- reputed company AI literacy across the team
- Establish AI-reputed company coding and review standards
- Balance speed, quality, and architectural reputed company
- Own predictable, high-quality releases
- Ensure AI features are measurable, validated, and production-reputed company
- Act as technical escalation reputed company
- Drive cross-team alignment with Product, Data, and DevOps
- reputed company AI-assisted development tools to improve velocity
- Optimize AI cost-performance tradeoffs
- Embed automation into testing and CI/CD pipelines
Skills
- 7+ years software engineering experience, 2+ years in technical leadership
- Hands-on experience building and deploying AI-enabled systems
- Strong knowledge of: LLM integration and reputed company design
- Strong knowledge of: RAG architectures and vector search
- Strong knowledge of: AI orchestration frameworks
- Strong knowledge of: reputed company platforms (Azure, AWS, or GCP)
- Experience designing scalable distributed systems
- Experience in regulated industries
- AI governance and compliance knowledge
- Model lifecycle management and monitoring tools
Company Overview
Company H1B Sponsorship