AI Deployment Engineer for Startups

Jobgether • India

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Jobgether is seeking an AI Deployment Engineer to help high-potential startups build and scale cutting-edge generative AI applications. The role involves guiding customers from early ideation to production-ready deployments using state-of-the-art API platforms. The ideal candidate will have strong technical depth paired with business understanding.

Key Highlights

Guide startups from ideation to production-ready deployments

Design, prototype, and scale generative AI applications

Collaborate with internal product, research, and engineering teams

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Key Responsibilities

Act as a trusted technical advisor for startup customers

Provide proactive guidance on architecture, best practices, and implementation strategies

Build and iterate hands-on prototypes alongside customers

Technical Skills Required

Python JavaScript AI APIs Machine Learning LLM

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Benefits & Perks

Fully remote work setup with flexibility

Opportunity to work at the forefront of generative AI innovation

High-impact role influencing real-world AI products and startup success

Job Description

This role sits at the intersection of advanced AI engineering and real-world startup innovation, focusing on helping high-potential startups build and scale cutting-edge generative AI applications. You will act as a trusted technical advisor, guiding customers from early ideation through to production-ready deployments using state-of-the-art API platforms. The environment is fast-paced, experimental, and highly collaborative, requiring strong technical depth paired with business understanding. You will work closely with early-stage and scaling startups across diverse industries, shaping impactful AI-driven solutions. The role also involves hands-on prototyping, problem-solving, and continuous iteration alongside customers. You will collaborate with internal product, research, and engineering teams to ensure customer insights directly influence platform evolution. This is a high-impact position where technical execution meets strategic influence in the evolving AI ecosystem.

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