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 Youll 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
Were 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:
Your CV
Links to GitHub LinkedIn profile portfolio and technical projects
AWS certifications achieved
A brief description of the most interesting AI system agent or RAG application you have built
Why you are interested in working with the Claude and AWS ecosystem
We regularly share updates and future opportunities through our LinkedIn page 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.
About DataventDatavent 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 ...
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 Youll 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
Were 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:
Your CV
Links to GitHub LinkedIn profile portfolio and technical projects
AWS certifications achieved
A brief description of the most interesting AI system agent or RAG application you have built
Why you are interested in working with the Claude and AWS ecosystem
We regularly share updates and future opportunities through our LinkedIn page 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.