GenAI Fullstack Engineer
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Summary
Full stack engineer building generative AI solutions: taking RAG and intelligent-agent proof-of-concepts through to secure, production-grade platforms. Stack spans Python/FastAPI or TypeScript/Express, React with TypeScript, GenAI frameworks like LangChain, LLM platforms, and AWS/Azure with Docker/Kubernetes.
Full Stack Engineer - Generative AI
Take the next step in your career now, scroll down to read the full role description and make your application.
About the Opportunity
A leading technology-focused organisation is seeking a talented Full Stack Engineer to help design, build and scale innovative Generative AI solutions. This is an exciting opportunity to work on cutting-edge AI applications, contribute to production-grade platforms and collaborate with skilled professionals in a highly innovative environment.
The role offers exposure to emerging technologies, significant learning opportunities and the chance to influence both technical delivery and broader business initiatives.
The Role
As a Full Stack Engineer, you will:
Collaborate with multidisciplinary teams to develop Generative AI proof-of-concepts using technologies such as Retrieval-Augmented Generation (RAG) and intelligent agents.
Scale successful proof-of-concepts into robust, production-ready solutions.
Design and develop full stack applications across both AI-driven and traditional software projects.
Support the development of infrastructure that enables secure, scalable and reliable end-to-end solutions.
Explore emerging technologies and apply new innovations to real-world challenges.
Share knowledge across the team through coaching, mentoring and technical guidance.
Additional Opportunities
Business Development
You will have the opportunity to:
Lead or contribute to proposals, bids, RFP responses and customer presentations.
Help develop new service offerings and innovative solutions.
Participate in customer engagement and business development activities.
Internal Initiatives
You may also contribute to:
Internal campaigns, thought leadership activities and whitepaper development.
Recruitment, team-building initiatives and practice operations.
The evolution of technical capabilities, services and offerings.
Learning & Development
The organisation is committed to continuous professional growth, offering:
Access to training and industry-recognised certifications.
Opportunities to develop expertise in emerging technologies and high-demand areas, including Generative AI.
A collaborative environment that supports ongoing learning and career progression.
Skills & Experience
Eligibility
Must hold active SC (Security Check) Clearance or be eligible to obtain and maintain this level of clearance.
Technical Expertise
Backend Development
Experience building microservices using Python with FastAPI, TypeScript with Express, or equivalent technologies.
Frontend Development
Experience developing React applications using TypeScript.
Familiarity with frameworks such as Next.js, Vite, or similar.
Generative AI Technologies
Experience with Generative AI frameworks such as LangChain, LangGraph, CrewAI, Vercel AI, or equivalent tools.
Practical experience working with Large Language Models (LLMs), including platforms such as OpenAI, Anthropic, Mistral, Llama, or similar.
Familiarity with tools that support local or hosted model deployment.
Cloud & Infrastructure
Proficiency in AWS or Azure for application hosting and deployment.
Hands-on experience with Docker, Kubernetes and Docker Compose.
Exposure to Infrastructure as Code tools such as Terraform.
Experience with CI/CD platforms including GitHub, GitLab, Jenkins, or similar.
Familiarity with monitoring and observability tools for AI applications and services.
Database Technologies
Experience with vector databases such as ChromaDB, Pinecone, PGVector, Qdrant, MongoDB, or similar solutions.
Familiarity with NoSQL databases.
Experience working with SQL databases, particularly PostgreSQL or equivalent.
Version Control
Strong experience using Git and modern version control platforms.
Working Practices
Experience working within Agile delivery environments.
Communication Skills
Strong stakeholder management and communication skills.
Ability to communicate effectively with both technical and non-technical audiences.
Comfortable collaborating with internal teams and external stakeholders.
Why Apply?
This is an opportunity to join a forward-thinking organisation where innovation, collaboration and professional growth are central to success. You will work on impactful projects, contribute to the adoption of emerging technologies and play a key role in delivering next-generation AI solutions.
Reasonable Adjustments:
Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. xwwtmva Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.
If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.
Take the next step in your career now, scroll down to read the full role description and make your application.
About the Opportunity
A leading technology-focused organisation is seeking a talented Full Stack Engineer to help design, build and scale innovative Generative AI solutions. This is an exciting opportunity to work on cutting-edge AI applications, contribute to production-grade platforms and collaborate with skilled professionals in a highly innovative environment.
The role offers exposure to emerging technologies, significant learning opportunities and the chance to influence both technical delivery and broader business initiatives.
The Role
As a Full Stack Engineer, you will:
Collaborate with multidisciplinary teams to develop Generative AI proof-of-concepts using technologies such as Retrieval-Augmented Generation (RAG) and intelligent agents.
Scale successful proof-of-concepts into robust, production-ready solutions.
Design and develop full stack applications across both AI-driven and traditional software projects.
Support the development of infrastructure that enables secure, scalable and reliable end-to-end solutions.
Explore emerging technologies and apply new innovations to real-world challenges.
Share knowledge across the team through coaching, mentoring and technical guidance.
Additional Opportunities
Business Development
You will have the opportunity to:
Lead or contribute to proposals, bids, RFP responses and customer presentations.
Help develop new service offerings and innovative solutions.
Participate in customer engagement and business development activities.
Internal Initiatives
You may also contribute to:
Internal campaigns, thought leadership activities and whitepaper development.
Recruitment, team-building initiatives and practice operations.
The evolution of technical capabilities, services and offerings.
Learning & Development
The organisation is committed to continuous professional growth, offering:
Access to training and industry-recognised certifications.
Opportunities to develop expertise in emerging technologies and high-demand areas, including Generative AI.
A collaborative environment that supports ongoing learning and career progression.
Skills & Experience
Eligibility
Must hold active SC (Security Check) Clearance or be eligible to obtain and maintain this level of clearance.
Technical Expertise
Backend Development
Experience building microservices using Python with FastAPI, TypeScript with Express, or equivalent technologies.
Frontend Development
Experience developing React applications using TypeScript.
Familiarity with frameworks such as Next.js, Vite, or similar.
Generative AI Technologies
Experience with Generative AI frameworks such as LangChain, LangGraph, CrewAI, Vercel AI, or equivalent tools.
Practical experience working with Large Language Models (LLMs), including platforms such as OpenAI, Anthropic, Mistral, Llama, or similar.
Familiarity with tools that support local or hosted model deployment.
Cloud & Infrastructure
Proficiency in AWS or Azure for application hosting and deployment.
Hands-on experience with Docker, Kubernetes and Docker Compose.
Exposure to Infrastructure as Code tools such as Terraform.
Experience with CI/CD platforms including GitHub, GitLab, Jenkins, or similar.
Familiarity with monitoring and observability tools for AI applications and services.
Database Technologies
Experience with vector databases such as ChromaDB, Pinecone, PGVector, Qdrant, MongoDB, or similar solutions.
Familiarity with NoSQL databases.
Experience working with SQL databases, particularly PostgreSQL or equivalent.
Version Control
Strong experience using Git and modern version control platforms.
Working Practices
Experience working within Agile delivery environments.
Communication Skills
Strong stakeholder management and communication skills.
Ability to communicate effectively with both technical and non-technical audiences.
Comfortable collaborating with internal teams and external stakeholders.
Why Apply?
This is an opportunity to join a forward-thinking organisation where innovation, collaboration and professional growth are central to success. You will work on impactful projects, contribute to the adoption of emerging technologies and play a key role in delivering next-generation AI solutions.
Reasonable Adjustments:
Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. xwwtmva Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.
If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.
Skills
- Agile
- AI
- Anthropic
- AWS
- Azure
- Business Development
- ChromaDB
- CI/CD
- Cloud
- CrewAI
- Docker
- Express.js
- FastAPI
- Generative AI
- Git
- GitHub
- GitLab
- Infrastructure as Code
- Jenkins
- Kubernetes
- LangChain
- LangGraph
- LLM
- Microservices
- Mistral
- Model Deployment
- MongoDB
- Next.js
- NoSQL
- Observability
- OpenAI
- pgvector
- Pinecone
- PostgreSQL
- Python
- Qdrant
- RAG
- React
- SQL
- Stakeholder Management
- Terraform
- TypeScript
- Vector Databases
- Version Control
- Vite
