Padmi

Fractional Forward Deployed Engineer

IndiaPosted 3 months ago
Software engineeringSeniorFull Time; Regular
Apply at DeployProAI

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Role Overview: DeployProAI is an India-based AI engineering company focused on assisting enterprises and educational institutions in developing production-grade AI-native systems. Their core practices include AI Advisory and AI Consulting, AI Engineering Delivery, and AI Capability Building. The company's approach emphasizes practical experience over theory, with a commitment to delivering real AI systems to production. Key Responsibilities: - Co-create and deliver intensive AI engineering programs for engineers, faculty, and institutional cohorts. - Lead hands-on sessions on agentic AI frameworks, AI engineering skills, and AI-integrated software development. - Mentor participants through real product builds, from architecture to deployment. - Support enterprise AI advisory engagements requiring deep practitioner perspective. - Co-design curriculum, reference implementations, and methodology with the DeployProAI team. - Represent DeployProAI's engineering expertise to enterprise leaders, university faculty, and student cohorts. - Stay updated on the evolving GenAI tooling landscape and translate it into production-grade practice. Qualifications Required: - 10+ years experience in building production software systems, with recent work in Generative AI, LLMs, multi-agent systems, or agentic AI. - Currently in a senior engineering role or consulting for enterprise clients. - Proficient in agentic frameworks, AI engineering skills, and AI-integrated development tooling. - Strong communication skills to convey technical concepts effectively. - Prior experience in knowledge sharing or technical education preferred. - Ability to adapt to fast-paced shifts in frameworks and tooling. - Willingness to collaborate, build alongside participants, and troubleshoot in real-time. - Availability of minimum 3-6 days per month for delivery and preparation, including weekdays and weekends. - Immediate availability for collaboration preferred. (Note: Additional details about the company were not included in the provided job description) Role Overview: DeployProAI is an India-based AI engineering company focused on assisting enterprises and educational institutions in developing production-grade AI-native systems. Their core practices include AI Advisory and AI Consulting, AI Engineering Delivery, and AI Capability Building. The company's approach emphasizes practical experience over theory, with a commitment to delivering real AI systems to production. Key Responsibilities: - Co-create and deliver intensive AI engineering programs for engineers, faculty, and institutional cohorts. - Lead hands-on sessions on agentic AI frameworks, AI engineering skills, and AI-integrated software development. - Mentor participants through real product builds, from architecture to deployment. - Support enterprise AI advisory engagements requiring deep practitioner perspective. - Co-design curriculum, reference implementations, and methodology with the DeployProAI team. - Represent DeployProAI's engineering expertise to enterprise leaders, university faculty, and student cohorts. - Stay updated on the evolving GenAI tooling landscape and translate it into production-grade practice. Qualifications Required: - 10+ years experience in building production software systems, with recent work in Generative AI, LLMs, multi-agent systems, or agentic AI. - Currently in a senior engineering role or consulting for enterprise clients. - Proficient in agentic frameworks, AI engineering skills, and AI-integrated development tooling. - Strong communication skills to convey technical concepts effectively. - Prior experience in knowledge sharing or technical education preferred. - Ability to adapt to fast-paced shifts in frameworks and tooling. - Willingness to collaborate, build alongside participants, and troubleshoot in real-time. - Availability of minimum 3-6 days per month for delivery and preparation, including weekdays and weekends. - Immediate availability for collaboration preferred. (Note: Additional details about the company were not included in the provided job description)

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