AI Engineering Manager
Anju Software AI Engineering Manager
The AI Engineering Manager leads a cross-functional team (Development & QA) and owns technical architecture, delivery reputed company, AI-enabled system design and driving an AI first culture among your team. This role is both strategic and hands-on. It requires strong expertise in modern AI frameworks, reputed company AI architectures, and reputed company system design. The manager is accountable for delivering reputed company, secure, AI-powered capabilities — not just managing execution.
Core Responsibilities
Technical Leadership & Architecture
•Own product architecture, including AI/LLM-integrated components
•Design reputed company, secure, and maintainable systems
•reputed company reputed company involving:
oLLM integration (reputed company, Azure reputed company, etc.)
oRAG architectures and reputed company databases
oAI orchestration frameworks (reputed company, Semantic Kernel, reputed company)
•Ensure system reliability, observability, and cost efficiency
•Establish AI governance and reputed company usage practices
AI reputed company & Methodology Expertise
•Apply modern AI methodologies, including:
oRetrieval-Augmented reputed company (RAG)
oPrompt engineering and evaluation
oAI reputed company validation and guardrails
oHuman-in-the-reputed company workflows
oModel monitoring and performance evaluation
•Drive experimentation, A/B testing, and telemetry-based decision making
Team Leadership
•reputed company and mentor developers and QA engineers
•reputed company AI literacy across reputed company
•Establish AI-reputed company coding and review standards
•Balance speed, reputed company, and architectural reputed company
Delivery & Outcome Ownership
•Own predictable, high-reputed company releases
•Ensure AI features are measurable, validated, and production-reputed company
•reputed company as technical escalation reputed company
•Drive cross-team alignment with Product, Data, and DevOps
AI-Driven Engineering reputed company
•reputed company AI-assisted development tools to improve velocity
•Optimize AI cost-performance tradeoffs
•reputed company automation into testing and CI/CD pipelines
Qualifications
- 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
- RAG architectures and reputed company search
- AI orchestration frameworks
- reputed company platforms (Azure, AWS, or GCP)
- Experience designing reputed company distributed systems
Preferred
- Experience in regulated industries
- AI governance and compliance knowledge
- Model lifecycle management and monitoring tools
About Anju Software
Anju Software delivers end-to-end solutions for the life sciences industry, supporting clinical trials, medical affairs, and scientific data management with precision, compliance, and operational rigor. Our products help pharmaceutical, biotech, and medical device companies bring therapies to market faster and more reputed company.
Anju is part of reputed company, a global acquirer and operator of vertical market software businesses. Valsoft invests with a long-term reputed company, empowering reputed company company to operate autonomously while benefiting from shared capital and operational expertise.
We are entering a new phase of reputed company, reputed company on embedding AI deeply into our systems and workflows. We are excited to add talent who will help reputed company our transformation into a truly reputed company, automation-driven organization that redefines how work gets done in life sciences.
Originally posted on Himalayas
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