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Hiring 20 AI/ML & Full-Stack Engineering Professionals (All Levels) — Agencies Only

Budget: $5000.0 FIXED / ⭐ 5.00 (2) India

cloud-architecture

Job Overview We are building out a distributed engineering bench to support a series of enterprise-grade AI platform initiatives. We're looking to onboard 20 AI and engineering professionals across all experience levels (Junior, Mid-Level, Senior, and Lead/Architect) to support ongoing and upcoming project work spanning AI/ML, cloud, enterprise architecture, and full-stack development. This is a long-term engagement opportunity for agencies with a bench of vetted, production-experienced talent ready to be evaluated and onboarded in phases. This posting is open to agencies only. Individual freelancers will not be considered. ******************************* Roles & Levels We're Hiring For We need a mix of the following, across all seniority levels: Junior Engineers – 0–2 years, supporting roles under senior guidance Mid-Level Engineers – 2–5 years, independent contributors Senior Engineers / AI-ML Specialists – 5+ years, deep technical ownership Tech Leads / Solution Architects – 8+ years, architecture and technical leadership ***************************** Areas of Expertise Needed AI and Machine Learning (traditional ML, deep learning) Generative AI and LLM-based application development Agentic AI / multi-agent orchestration frameworks Cloud-native application development (AWS, Azure, or GCP) Enterprise architecture and systems integration Data engineering and data pipeline development DevOps / DevSecOps Full-stack web and mobile application development MLOps and model deployment pipelines API design and microservices architecture ************************* What We'd Like to Know About Your Bench When you apply, please be prepared to share (at the resume-submission stage): Projects completed – representative project types, industries served, and scale (without revealing confidential client information) Work location – where your engineers/consultants are based (city/country and time zone) IST Availability – working hours/overlap availability with US time zones, and whether resources are full-time, part-time, or available for hourly engagement ******************** Required Skill Sets (please confirm coverage across your team) Machine Learning / Deep Learning (Python, TensorFlow, PyTorch) Generative AI / LLM Integration (OpenAI, Anthropic, or open-source models) Cloud Architecture (AWS, Azure, or Google Cloud Platform) DevOps / CI-CD Pipeline Development Data Engineering (ETL, data pipelines, data warehousing) Enterprise Software Architecture Full-Stack Development (React/Node.js, or similar modern stack) API Development & Microservices MLOps (model deployment, monitoring, versioning) Cybersecurity / DevSecOps practices for enterprise systems *********************************** Engagement Details Engagement type: Dedicated team/staff augmentation, scaling to long-term partnership Team size: Up to 20 professionals across all levels Duration: Long-term, ongoing Location: Remote (IST Preferred) Please note: This posting is open to agencies with an established team only. We are not considering individual freelancers for this engagement.
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