Intuitive.ai
AI/ML Engineer – Agentic AI & DevOps Solutions
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About us:
Intuitive.AI is one of the fastest-growing (INC 5000, CRN) Cloud & SDx solution and services companies supporting enterprise customers on a global scale. Intuitive is an "Engineering Company" delivering measurable value and key business outcomes.
Intuitive Superpowers:
- DataOps & AI/ML
- Cloud Native, AppSecOps, DevSecOps
- Cloud Migration & Transformation
- Cloud FinOps
- Cybersecurity (App/Data/Infra) & GRC
- SDx & Digital Workspace
We are proud to partner with some of the world's leading enterprises and serve 200+ customers across different industry verticals. We have achieved many milestones along the way, including being recognized as a top-10 fast-growth 150 IT company in the Americas by CRN in 2022 and being named one of America's fastest-growing private companies by INC 5000 in 2022. That’s not all! Even CIO Review awarded us as the Most Promising Cloud Migration Company and Artificial Intelligence Solutions Provider in 2022.
About the job:
Title: AI/ML Engineer – Agentic AI & DevOps Solutions
Location: Remote across UK
Position Type: Full Time
Focus: Agentic AI, AWS Bedrock, Multi-Agent Systems, DevOps Automation & AgentOps
Job Summary
We are looking for an experienced AI/ML Engineer / GenAI Engineer to help build and deploy enterprise-grade agentic AI solutions for software engineering and DevOps operations. The role will focus on developing the agentic platform foundation and building solutions that can automate and enhance code development, merge-request reviews, CI/CD, deployments, environment management, and operational workflows. The ideal candidate combines strong hands-on experience in Generative AI, AWS, Python, multi-agent architectures, and modern DevOps practices.
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Key Responsibilities
- Design, develop, and deploy agentic AI and multi-agent solutions using AWS.
- Build agent orchestration and agent-to-agent workflows using LangGraph, Strands, or similar frameworks.
- Develop AI agents using Amazon Bedrock and Bedrock AgentCore.
- Implement tool/function calling, agent memory, context management, and long-running agent workflows.
- Build RAG and knowledge-based capabilities to provide agents with relevant engineering and operational context.
- Develop AI-powered coding and software engineering agents.
- Build agents to support code generation, code analysis, and merge/pull request reviews.
- Integrate agents with Git-based development workflows such as GitHub, GitLab, or Bitbucket.
- Develop operations agents for deployment, environment management, troubleshooting, and disaster recovery.
- Integrate agentic capabilities into existing CI/CD pipelines and Infrastructure-as-Code environments.
- Use AI to improve developer productivity and automate repetitive engineering and operational tasks.
- Implement security, governance, monitoring, and observability using AWS IAM, Guardrails, and CloudWatch.
- Deploy infrastructure using AWS CDK / CloudFormation.
- Work closely with DevOps, Platform Engineering, Cloud, and Software Engineering teams.
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Required Technical Skills
- Strong hands-on experience with Generative AI / Agentic AI.
- Experience with Amazon Bedrock and foundation models.
- Experience with Amazon Bedrock AgentCore or equivalent agent platforms.
- Strong Python programming experience.
- Experience with multi-agent architectures and frameworks such as LangGraph or Strands.
- Experience with RAG, Knowledge Bases, embeddings, and vector search.
- Strong understanding of DevOps and CI/CD practices.
- Hands-on experience with Git, GitHub, GitLab, or Bitbucket.
- Experience with Infrastructure as Code, preferably Terraform, AWS CDK, or CloudFormation.
- Experience with AWS services such as IAM, CloudWatch, VPC, and Secrets Manager.
- Understanding of AI security, guardrails, prompt injection, and secure AI application development.
Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, or a related field.
- Strong software engineering and DevOps fundamentals.
- Experience taking GenAI/Agentic AI solutions from prototype to production.
- Strong analytical, problem-solving, and communication skills.
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