Anju Software AI Engineering ManagerThe 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 ResponsibilitiesTechnical Leadership & ArchitectureOwn product architecture, including AI/LLM-integrated componentsDesign scalable, secure, and maintainable systemsLead decisions involving:LLM integration (OpenAI, Azure OpenAI, etc.)RAG architectures and vector databasesAI orchestration frameworks (LangChain, Semantic Kernel, LlamaIndex)Ensure system reliability, observability, and cost efficiencyEstablish AI governance and safe usage practicesAI Framework & Methodology ExpertiseApply modern AI methodologies, including:Retrieval-Augmented Generation (RAG)Prompt engineering and evaluationAI output validation and guardrailsHuman-in-the-loop workflowsModel monitoring and performance evaluationDrive experimentation, A/B testing, and telemetry-based decision makingTeam LeadershipLead and mentor developers and QA engineersRaise AI literacy across the teamEstablish AI-native coding and review standardsBalance speed, quality, and architectural integrityDelivery & Outcome OwnershipOwn predictable, high-quality releasesEnsure AI features are measurable, validated, and production-readyAct as technical escalation pointDrive cross-team alignment with Product, Data, and DevOpsAI-Driven Engineering ExcellenceLeverage AI-assisted development tools to improve velocityOptimize AI cost-performance tradeoffsEmbed automation into testing and CI/CD pipelinesQualifications7+ years software engineering experience, 2+ years in technical leadershipHands-on experience building and deploying AI-enabled systemsStrong knowledge of:LLM integration and prompt designRAG architectures and vector searchAI orchestration frameworksCloud platforms (Azure, AWS, or GCP)Experience designing scalable distributed systemsPreferredExperience in regulated industriesAI governance and compliance knowledgeModel lifecycle management and monitoring toolsAbout Anju SoftwareAnju 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.
10 days ago