Agentic AI & AWS Engineer

 Posted 8 hours ago
     
⭐ 2-5 years experience
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AI Summary

Build AI agents, multi-step workflows, and RAG pipelines using Claude and AWS infrastructure. Develop API integrations and maintain scalable AI applications while optimizing system performance and monitoring.

About Datavent

Datavent builds practical AI solutions, intelligent workflows, and data-driven systems for modern businesses. We focus on delivering real-world outcomes using the latest advancements in AI, cloud infrastructure, and automation.

We are growing our team of builders who enjoy taking ownership, learning quickly, and turning ideas into production-ready solutions.

Tasks

What You'll Work On

  • Build AI agents and multi-step workflows using Claude and related technologies
  • Design and improve RAG pipelines and knowledge retrieval systems
  • Develop integrations with APIs, databases, SaaS platforms, and internal tools
  • Deploy and maintain AI applications on AWS
  • Create evaluation, monitoring, and optimization workflows for AI systems
  • Implement tool use, function calling, MCP integrations, and agent orchestration patterns
  • Collaborate on architecture decisions and technical problem-solving
  • Stay current with developments in AI, Anthropic, AWS, and agentic systems

Requirements

Required Qualifications

  • Approximately 2+ years of software engineering, AI engineering, or related experience
  • Practical experience building applications using LLMs in real-world projects
  • Hands-on experience with:
  • Agentic AI systems
  • Retrieval-Augmented Generation (RAG)
  • Claude or other advanced foundation models
  • Python, LangChain, LangGraph
  • REST APIs and integrations
  • AWS certifications (Cloud Practitioner, Solutions Architect, Associate-level, or higher) are a plus!
  • Understanding of cloud-native architectures and deployment practices
  • Strong problem-solving ability and willingness to learn independently
  • Excellent written communication skills in English

Preferred Qualifications

  • Experience with Claude, Amazon Bedrock, or Anthropic technologies
  • AWS Solutions Architect, Developer, Machine Learning, or Data Engineering certifications
  • Experience with vector databases and semantic search
  • Familiarity with LangGraph, agent frameworks, MCP, or workflow orchestration tools
  • Experience deploying containerised applications
  • Knowledge of evaluation frameworks, observability, and AI testing methodologies
  • Open-source contributions, technical blogging, research projects, or portfolio projects

Benefits

The Opportunity

We are looking for a motivated Agentic AI & AWS Engineer to help design, build, and improve AI-powered applications and workflows centred around the Anthropic and AWS ecosystem.

This role is ideal for someone who already has hands-on experience with modern AI development and wants to deepen their expertise in production-grade AI systems, agentic workflows, Retrieval-Augmented Generation (RAG), cloud infrastructure, and automation.

You will work on practical client-facing projects involving intelligent agents, AI-powered workflows, integrations, and scalable cloud deployments.

Who Will Thrive Here

We're particularly interested in candidates who:

  • Take initiative and require minimal supervision
  • Learn quickly and enjoy experimenting with new technologies
  • Can independently research, prototype, and deliver solutions
  • Have built meaningful personal, academic, or professional AI projects
  • Are excited about the future of AI agents and intelligent systems
  • Value continuous learning and professional growth

Exceptional fresh graduates with strong academic achievements, relevant certifications, and impressive project portfolios are encouraged to apply.

What We Offer

  • Flexible remote engagement with project-based work and long-term opportunities for high performers.
  • Exposure to real-world AI deployments across agentic systems, RAG, automation, and cloud-native applications.
  • The opportunity to work within the Anthropic and AWS ecosystem and gain practical experience with modern AI engineering workflows.
  • Access to relevant training, certification opportunities, and continuous learning resources as they become available through our network and partners.
  • Collaboration with experienced engineers and AI practitioners focused on practical, production-ready solutions.
  • Involvement in enterprise and client-facing projects where your work can have a direct business impact.
  • A culture that values ownership, initiative, curiosity, and continuous improvement.
  • The possibility of expanding your role and responsibilities as Datavent continues to grow.

Application Instructions

When applying, please include:

  1. Your CV
  2. Links to GitHub, LinkedIn profile, portfolio, and technical projects
  3. AWS certifications achieved
  4. A brief description of the most interesting AI system, agent, or RAG application you have built
  5. Why you are interested in working with the Claude and AWS ecosystem

We regularly share updates and future opportunities through our LinkedIn page https://www.linkedin.com/company/datavent-io/

Follow Datavent to stay connected and be among the first to hear about new roles and initiatives.

To ensure a fair and consistent review process, only applications submitted through the official application portal will be considered.

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