Anju Software 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.
Core Responsibilities
Technical Leadership & Architecture
Own product architecture, including AI/LLM-integrated components
Design scalable, secure, and maintainable systems
Lead decisions involving:
oLLM integration (OpenAI, Azure OpenAI, etc.)
oRAG architectures and vector databases
oAI orchestration frameworks (LangChain, Semantic Kernel, LlamaIndex)
Ensure system reliability, observability, and cost efficiency
Establish AI governance and safe usage practices
AI Framework & Methodology Expertise
oRetrieval-Augmented Generation (RAG)
oPrompt engineering and evaluation
oAI output validation and guardrails
oHuman-in-the-loop workflows
oModel monitoring and performance evaluation
Team Leadership
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
Delivery & Outcome Ownership
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
AI-Driven Engineering Excellence
Leverage AI-assisted development tools to improve velocity
Optimize AI cost-performance tradeoffs
Embed 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 prompt design
RAG architectures and vector search
AI orchestration frameworks
Cloud platforms (Azure, AWS, or GCP)
Experience designing scalable 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 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.
Valsoft Corporation is an operating group that acquires and builds mission-critical software businesses for the long term, operating through subsidiaries including Aspire Software and Dockmaster Software. The company serves diverse vertical markets including higher education, public sector, and marine industries with specialized software solutions. Valsoft provides operational expertise, stability, and resources to support the growth and innovation of its portfolio companies. Key products include Dockmaster, the marine industry's comprehensive marina management software platform founded in 1983, and Orbit, a cloud-based software lifecycle management solution for IT asset management in higher education and public sector organizations.
