AI Engineering Manager

The AI Engineering Manager leads a cross-functional team (Development & QA) and owns technical architecture, delivery outcomes, 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, applied AI architectures, and scalable system design. The manager is accountable for delivering stable, secure, AI powered capabilities - not just managing execution.

• 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

• 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 prompt design
  • RAG architectures and vector search
  • AI orchestration frameworks
  • Cloud 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

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 efficiently.

Anju is part of Valsoft Corporation, a global acquirer and operator of vertical market software businesses. Valsoft invests with a long term mindset, empowering each company to operate autonomously while benefiting from shared capital and operational expertise.

We are entering a new phase of growth, focused on embedding AI deeply into our systems and workflows. We are excited to add talent who will help lead our transformation into a truly agentic, automation driven organization that redefines how work gets done in life sciences.