AI Engineering Manager building scalable AI-enabled systems at Anju Software. Leading technical architecture and mentoring teams to enhance AI capabilities in life sciences.
Responsibilities
Own product architecture, including AI/LLM-integrated components
Design scalable, secure, and maintainable systems
Lead decisions involving:
- LLM integration (OpenAI, Azure OpenAI, etc.)
- RAG architectures and vector databases
- AI orchestration frameworks (LangChain, Semantic Kernel, LlamaIndex)
Ensure system reliability, observability, and cost efficiency
Establish AI governance and safe usage practices
Apply modern AI methodologies, including:
- Retrieval-Augmented Generation (RAG)
- Prompt engineering and evaluation
- AI output validation and guardrails
- Human-in-the-loop workflows
- Model monitoring and performance evaluation
Drive experimentation, A/B testing, and telemetry-based decision making
Lead and mentor developers and QA engineers
Raise AI literacy across the team
Establish AI-native coding and review standards
Balance speed, quality, and architectural integrity
Own predictable, high-quality releases
Ensure AI features are measurable, validated, and production-ready
Act as technical escalation point
Drive cross-team alignment with Product, Data, and DevOps
Leverage AI-assisted development tools to improve velocity
Optimize AI cost-performance tradeoffs
Embed automation into testing and CI/CD pipelines
Requirements
7+ years software engineering experience, 2+ years in technical leadership
Hands-on experience building and deploying AI-enabled systems
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