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Job Description & How to Apply Below
About DeployProAI
Deploy
ProAI is an India-based AI engineering company helping enterprises and educational institutions build production-grade AI-native systems — dependable, secure, and compliance-first by design.
Our work spans three connected practices:
AI Advisory and AI Consulting — We partner with senior leadership to architect enterprise-grade AI transformation roadmaps. This includes AI-native operating model design, agentic AI strategy, governance and compliance frameworks, vendor and tooling evaluation, and phased transformation execution for organisations across BFSI, IT services, and adjacent regulated industries.
AI Engineering Delivery — We build AI-native software development practices for enterprise engineering teams, using agentic harnesses, AI engineering skills, agentic AI frameworks, and AI-integrated development workflows that reflect how production AI is actually shipped today.
AI Capability Building — We design and deliver intensive programmes for engineers, faculty, and institutional leadership. We co-create curriculum and reference implementations that build practitioner-grade depth, not certification-grade familiarity.
Our positioning is simple and uncompromising: we are practitioners who build, not lecturers who describe. Every engagement we run is delivered by people who have shipped real AI systems to production.
We are now expanding our practitioner bench to meet rising demand across enterprise transformation and institutional capability engagements in India.
The Role
As a Fractional Forward Deployed Engineer (Generative AI) , you will deploy into Deploy
ProAI's delivery and advisory engagements — co-building curriculum, leading hands-on sessions, mentoring engineers and faculty through real AI product builds, and supporting enterprise AI transformation work where deep practitioner depth is needed.
You will not deliver from someone else's slides. You will help shape what gets taught, how it gets taught, and what gets built. You will work directly with the founder and with senior practitioners in the network.
This is a frontline role in every sense — you are the face of Deploy
ProAI in the rooms where capability is built and transformation is shaped.
What You'll Do
Co-create and deliver intensive AI engineering programmes for engineers, faculty, and institutional cohorts.
Lead hands-on sessions on agentic AI frameworks, agentic harnesses, AI engineering skills, and AI-integrated software development.
Mentor participants through real product builds — from architecture to deployment.
Support enterprise AI advisory engagements where deep practitioner perspective is needed in the room.
Co-design curriculum, reference implementations, and methodology alongside the Deploy
ProAI team.
Represent Deploy
ProAI's engineering depth in front of enterprise leaders, university faculty, and student cohorts.
Stay current with the rapidly evolving GenAI tooling landscape and translate it into deliverable, production-grade practice.
Who We're Looking For
Experience and depth
10+ years building production software systems, with meaningful recent work in Generative AI, LLMs, multi-agent systems, or agentic AI.
Currently in a senior engineering role, or independently consulting for serious enterprise clients.
Hands-on practitioner — comfortable working with the latest agentic frameworks, AI engineering skills, and AI-integrated development tooling.
Communication and teaching ability
Strong communicator — can explain hard technical concepts to other engineers without dumbing them down.
Prior experience in knowledge sharing, upskilling engineers, running workshops, or contributing to technical education is strongly preferred.
Working style
Ability to learn fast and deliver — frameworks and tooling in this space shift week to week; comfort with that pace is essential.
Willingness to roll up sleeves, build alongside participants, and debug in front of a room.
Strong professional presence — calm, credible, and clear under live conditions.
Availability
Minimum 3–6 days per month available for delivery and preparation.
Open to both weekday and weekend engagements.
Candidates with immediate availability for collaboration…
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