AI Expert (mfd)
AI Expert (mfd)
Skidata- Posted 4 hours ago
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Job Description
SKIDATA is a global leader in access solutions for mobility, parking, mountain destinations, airports, shopping centres, stadiums, and attractions, combining long-term reliability with cutting-edge innovation through the hybrid integration of hardware and software across IoT, cloud, and mobility technologies. As part of our ongoing digital transformation, we are investing boldly in AI-driven engineering and intelligent automation, and we're now looking for a passionate, hands-on Software Expert – Lead AI Developer in Bangalore, India, to lead the practical adoption of AI across our software development lifecycle and help shape how we build the next generation of intelligent access systems.
What You'll Do
What You Bring
Ready to make an impact Apply today and be a part of SKIDATA's innovative journey!
Your Personal Contact
Chandan V – Recruiter – [Confidential Information]
Innovative solutions at the cutting edge, a dynamic and forward-thinking work environment, and diverse opportunities – welcome to the world of SKIDATA. Join our strong, international team now and help shape the future of modern access solutions with your creativity and expertise. When you join our SKIDATA team, you'll also be part of the ASSA ABLOY Group, the global leader in access solutions. You'll have 62,000 colleagues in more than 70 different countries.
#SKIDATA
What You'll Do
- Drive Practical AI Adoption: Bring AI to life across the entire software development lifecycle, from requirements, architecture, and coding to code review, testing, debugging, documentation, refactoring, and maintenance.
- Partner with Development Teams: Work side by side with engineers and architects to uncover real day-to-day engineering challenges and co-create pilot AI-enabled solutions that make a tangible difference.
- Lead by Example: Use AI extensively in your own daily engineering work and demonstrate measurable improvements in productivity and quality.
- Mentor and Inspire: Act as an AI technical leader and mentor for software engineering teams across locations, through hands-on workshops, coaching sessions, and knowledge-sharing activities.
- Turn Experiments into Standards: Establish practical guidelines and repeatable workflows for responsible AI-assisted development, and integrate them into existing processes together with architects, technical managers, and engineering leaders.
- Explore What's Next: Evaluate emerging AI development tools, models, frameworks, and agentic approaches, including locally hosted and open-source LLMs, with a clear view of their cost, performance, and operational trade-offs.
- Champion an AI-First Mindset: Help teams embrace AI-first engineering while safeguarding quality, security, and maintainability, and bring relevant external developments into the organization where they create real value.
What You Bring
- 10+ years of professional software engineering experience
- 3+ years of hands-on experience with AI/Generative AI technologies, or equivalent recent, demonstrable experience applying AI extensively in real-world software engineering
- Strong hands-on expertise in modern software development, architecture, design patterns, APIs, cloud-based systems, testing, and engineering practices
- Practical experience with AI-powered development tools such as Cursor, Claude, GitHub Copilot, or equivalent
- Real projects where AI measurably improved development speed, quality, automation, or engineering outcomes
- Proven ability to mentor senior and junior engineers and influence teams without formal authority
- Strong problem-solving, analytical, and technical communication skills
- A pragmatic, hands-on mindset that balances innovation with quality, security, maintainability, and business value
- Strong curiosity, a passion for experimentation, and a drive to keep learning emerging AI technologies
- Experience with LLM ecosystems (e.g., Anthropic/Claude, OpenAI), prompt and context engineering, AI agent workflows, LLM integration, locally hosted or open-source LLMs, AI coding standards and governance, or leading AI transformation within an engineering organization is a plus
- Health Insurance – Group Mediclaim (5L floater) covering employee, spouse & children; plus Group Personal Accident & Term Life Insurance (2x annual CTC each)
- Wellness – Annual health check-up + 5,000/year reimbursement for gym, yoga & wellness memberships
- Leave – 30 working days/year + 13 national holidays; Maternity (26 weeks), Paternity (5 days), Miscarriage & Marriage leave
- Flexible Work – Hybrid model with up to 8 WFH days/month
- Gift Vouchers – For birthdays, weddings & newborns
- Meals & Snacks – 1,500/month via Pluxee Cards
- Daycare Support – Creche/daycare reimbursement for women employees (up to 2 children)
- Financial Benefits – NPS contributions, Gratuity, short-term loans via HDFC Bank
- Rewards – Spot & Bravo awards, Service Completion Awards (3/5/10 years)
- Referral Bonus – 35,000 per successful referral
- Engagement – Ongoing team events, activities & learning programs
Ready to make an impact Apply today and be a part of SKIDATA's innovative journey!
Your Personal Contact
Chandan V – Recruiter – [Confidential Information]
Innovative solutions at the cutting edge, a dynamic and forward-thinking work environment, and diverse opportunities – welcome to the world of SKIDATA. Join our strong, international team now and help shape the future of modern access solutions with your creativity and expertise. When you join our SKIDATA team, you'll also be part of the ASSA ABLOY Group, the global leader in access solutions. You'll have 62,000 colleagues in more than 70 different countries.
#SKIDATA
More Info
Key Skills
AI-powered development tools
LLM ecosystems
prompt and context engineering
LLM integration
AI agent workflows
Claude
AI coding standards
GitHub Copilot
cloud-based systems
modern software development architecture
AI Generative AI technologies
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