Key Responsibilities

- Lead and mentor a team of Product Developers, providing technical direction, coaching, and career development.
- Drive the technical vision and execution for Prism and AI-enabled platform initiatives.
- Define engineering best practices, coding standards, and architectural guidelines.
- Collaborate with Product Management, UX, Architecture, and Engineering teams to deliver scalable AI-powered experiences.
- Guide the team in designing, building, and integrating AI agents and intelligent workflows into enterprise applications.
- Review solution designs, code quality, and technical deliverables to ensure scalability, maintainability, and security.
- Foster a culture of innovation, experimentation, and continuous learning around AI technologies.
- Plan team capacity, prioritize work, manage risks, and ensure timely delivery of commitments.
- Identify skill gaps and create development plans for engineers through mentoring and training.
- Support hiring activities, technical interviews, onboarding, and team growth.
- Evaluate emerging AI technologies and recommend adoption where they create measurable business value.

Required Skills

- 12+ years of software engineering experience.
- 3+ years of people management experience leading software development teams.
- Robust experience with Angular, JavaScript, and TypeScript.
- Working knowledge of Python.
- Experience building enterprise-scale applications and distributed systems.
- Strong understanding of REST APIs and modern application architectures.
- Experience working in Agile development environments.
- Excellent problem-solving, communication,



and stakeholder management skills.

Preferred Skills

- Experience with Generative AI, Large Language Models (LLMs), AI agents, or intelligent automation.
- Familiarity with AI development frameworks such as LangChain, Semantic Kernel, AutoGen, CrewAI, or similar.
- Experience integrating AI services (OpenAI, Azure AI, Anthropic, etc.) into enterprise applications.
- Understanding of Retrieval-Augmented Generation (RAG), vector databases, embeddings, and prompt engineering.
- Experience with cloud platforms such as Azure or AWS.
- Knowledge of DevOps, CI/CD, and engineering productivity practices.

Leadership Competencies

- Technical leadership and architectural decision-making.
- Coaching, mentoring, and talent development.
- Customer-centric mindset.
- Strong execution and delivery focus.
- Strategic thinking with the ability to balance innovation and business priorities.
- Excellent collaboration and cross-functional leadership.
- Ability to build and scale high-performing engineering teams.

Qualifications

- Bachelor s degree in computer science, Engineering, or equivalent practical experience.
- 12+ years of software development experience.
- 3+ years of engineering management experience.
- Demonstrated experience delivering enterprise software products.
- Experience leading AI initiatives or engineering teams working with AI technologies is highly desirable.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Mgr, Product Development (Karnataka)
🏢 Epicor
📍 Karnataka