Website:
hypersoftindia.com
Job details:
Company Description Hypersoft Technologies Limited is a publicly traded software products and professional IT services company specializing in financial and business applications, consultancy services, and custom software development across multiple platforms. The organization focuses on client/server development, turnkey database applications, and rapid web and Windows application development, supported by experienced development and support teams. Hypersoft emphasizes strong, long-term client relationships through responsive, reliable partnership and end-to-end ownership of projects delivered on time and to high quality standards. The company serves diverse sectors including securities management, ERP and manufacturing, business process reengineering, textiles, retail and wholesale, BPO, and call center solutions, and offers packaged solutions in areas such as portfolio management, HR and payroll, hospital management, and supply chain management. Hypersoft maintains an active online presence and can be contacted via email and major social media platforms.
Role Description The AI Lead is a full-time, hybrid role based in Pune, with flexibility for partial work from home. This role is responsible for defining and driving the AI strategy, leading the design and development of AI and machine learning solutions that support Hypersoft’s product portfolio and client projects. Day-to-day activities include identifying high-impact AI use cases, overseeing data collection and preparation, guiding model selection and training, and integrating AI components into existing applications and platforms. The AI Lead collaborates closely with product managers, software architects, and engineering teams, provides technical leadership and mentorship to data and AI engineers, and ensures solutions are secure, scalable, compliant, and aligned with business objectives. The role also involves staying current with AI advancements, evaluating new tools and frameworks, and presenting recommendations and project updates to senior leadership and key stakeholders.
Qualifications
• Own end-to-end delivery of AI-native programs - from architecture through production deployment
• Design and build multi-agent orchestration systems using LangChain, LangGraph, CrewAI, or equivalent
• Integrate agent systems with enterprise surfaces: APIs, ERPs, CRMs, data platforms - not toy datasets
• Define agent topology: tool routing, memory strategy, state machines, fallback handling
• Run agentic coding workflows using Claude Code, Cursor, OpenAI Codex, or equivalent CLI tools
• Lead projects where AI writes significant portions of the codebase - and you guide, review, and ship it
• Work with CLAUDE.md, shared context frameworks, and multi-session agent setups for team use
• Debug non-deterministic agent outputs systematically - not by gut feel
• Translate business problems into agent architectures for global CXO-level stakeholders
• Run discovery workshops, solution reviews, and delivery cadences with client teams
• Prepare and present technical proposals, POC plans, and roadmaps - own the story end-to-end
• Mentor junior AI engineers; raise AI engineering quality across the delivery team
• Stay current: evaluate new models, frameworks, and tooling before the hype catches up
Contribute to internal knowledge bases, reusable frameworks, and accelerators
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