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AI Full stack Architect

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Hybrid

AI Full stack Architect

Acuity Analytics

AI Full stack Architect

Skills

Google Cloud PlatformData EngineeringDockerReactPythonMachine LearningAIAWSGitHubKubernetesJavascriptAzure

2 months ago

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Important information


Contract type:

Permanent

Work mode:

Hybrid

Published on:

12 August 2026

What they need


We are looking for a highly skilled Full Stack AI Developer with expertise in Python, white coding, and Generative AI. The ideal candidate will have hands-on experience developing and deploying models on leading cloud platforms (AWS, Azure, and GCP). Strong communication and negotiation skills are essential, as this role involves collaborating with cross-functional teams and stakeholders.

Key Responsibilities

  • Design, develop, and maintain scalable full stack applications using Python and modern frameworks.
  • Knowledge of AI-Assisted Vibe-Coding best practices
  • Ability to understand user requirements, create a plan and execute the plan using AI
  • Implement white coding standards and best practices to ensure clean, maintainable code.
  • Build, train, and deploy Generative AI models leveraging cloud infrastructure (AWS, Azure, GCP).
  • Understanding AI services/platforms like AWS Bedrock, Azure OpenAI, GCP Vertex, Airweave, Temporal AI, LiteLLM, Langgraph, Vector DB, Advanced RAG etc.
  • Integrate machine learning and AI solutions into existing products and services.
  • Collaborate with product managers, designers, and other engineers to deliver high-quality solutions.
  • Communicate technical concepts clearly to technical and non-technical audiences.
  • Negotiate requirements, timelines, and deliverables with stakeholders.
  • Participate in code reviews, troubleshooting, and optimization efforts.

Required Skills & Qualifications

  • Bachelor’s or master’s degree in computer science, Engineering, or a related field.
  • Proven experience as a Full Stack Developer, with strong proficiency in Python.
  • Demonstrated ability in white coding and adherence to coding standards.
  • Hands-on knowledge of Generative AI concepts, frameworks, and applications.
  • Experience developing and deploying models using AWS, Azure, or GCP cloud platforms.
  • Familiarity with front-end technologies (e.g., JavaScript, React, Angular) is a plus.
  • Excellent communication skills, both written and verbal.
  • Strong negotiation skills, with a track record of successful collaboration.

Preferred Skills

  • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines.
  • Knowledge of data engineering along with working knowledge of Cursor AI, Github copilot etc.
  • Understanding of security best practices in cloud and AI deployments.

Regards

Reshmalin

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