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Engineering & AI Manager

Engineering & AI Manager

tapplentIndia
19 hours ago
Job description

About Tapplent

At Tapplent, we began with a simple belief : the future of work must be more human, more intelligent, and more connected. Headquartered in the United States, with teams and partners across Canada, India, Singapore, Australia, the Philippines, Indonesia, Malaysia and the UAE, we've grown into a truly global HR Tech SaaS company. Today, users across the world rely on Tapplent to match, predict, select, engage, and develop talent with precision.

We're more than just a platform; we're a diverse, collaborative team reimagining Talent Intelligence. With a customer-first mindset, we design experiences that are human-centered and data-driven, delivering measurable business impact.

And for organizations still tied to rigid, "one-size-fits-all" HR solutions, Tapplent is the right choice. Our systems adapt to the evolving nature of work, empowering companies to engage their workforce, their workplace, and their future like never before.

Already, a significant number of users across the globe are experiencing this transformation through Tapplent. And we're just getting started.

ABOUT ROLE

Location : Bangalore, Karnataka (On-site)

We are looking for an experienced

Engineering & AI Manager

to lead our growing engineering team in Bangalore. The role demands a strong technology leader who thrives in

startup and growth-stage environments

, can balance hands-on engineering with people leadership, and is comfortable working closely with customers to deliver business impact.

KEY RESPONSIBILITIES

  • Lead and scale

a high-performing engineering team, fostering a startup-style culture of

agility, ownership, and innovation.

  • Architect and oversee
  • the development of

    scalable SaaS products

    using

    Java Spring Boot (backend)

    and

    Angular (frontend).

  • Leverage hands-on experience
  • in building

    full-fledged enterprise applications

    using Java and Angular, while progressively

    adopting newer, more advanced technologies

    to modernize and future-proof systems.

  • Possess
  • deep expertise in driving microservices-based architecture

    and managing

    system integrations at scale.

  • Demonstrate
  • hands-on experience integrating products and applications with major ERP systems

    such as

    Oracle, SAP, and similar platforms.

  • Participate in and eventually champion
  • the company's

    AI roadmap

    , embedding

    machine learning and intelligence-driven features

    into products.

  • Collaborate cross-functionally
  • with Product, Design, and Business teams to translate customer needs into scalable, intelligent technology solutions.

  • Engage directly with customers and stakeholders
  • , ensuring that solutions are practical, high-impact, and aligned with strategic business outcomes.

  • Be
  • knowledgeable in and establish best practices

    for

    DevOps, CI / CD pipelines, cloud-native deployments, and agile execution.

  • Balance strategic decision-making with hands-on problem-solving
  • , ensuring both vision and execution excellence.

    QUALIFICATIONS AND EXPERIENCE

  • 10–15 years
  • of progressive engineering experience, including

    3–5 years

    in management roles.

  • Proven success in
  • startup or high-growth environments

    , with the ability to navigate ambiguity, scale teams, and deliver outcomes in fast-paced settings.

  • Strong
  • architecture and coding expertise

    in

    Java Spring Boot, Angular, microservices

    , and

    analytics-driven platforms.

  • Demonstrated hands-on experience in developing full-fledged enterprise-grade applications
  • using Java and Angular, with a continuous drive to

    adopt and implement emerging technologies

    for modernization and scalability.

  • In-depth experience integrating with ERP systems
  • such as

    Oracle, SAP, and other enterprise platforms

    , ensuring seamless interoperability and data flow.

  • Proven journey in the
  • AI / ML space, f

    rom experimentation and proof-of-concept to deploying

    production-grade intelligent systems.

  • Deep understanding of cloud platforms
  • such as

    AWS, Azure, and GCP

    , along with

    DevOps, CI / CD automation, and containerization practices.

  • Strong foundation in system design, scalability, performance optimization, and security architecture.
  • Excellent communication and stakeholder management skills
  • , with the ability to translate technical complexity into business impact and influence outcomes across teams.

    WHAT WE OFFER

  • Opportunity to shape and scale the engineering function of a
  • fast-growing SaaS & AI-led company

  • Exposure to cutting-edge technologies and direct customer impact.
  • A collaborative, high-energy environment with startup DNA.
  • Competitive compensation includes
  • Stock Options and long-term growth opportunities

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