How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Ai Engineer, UK
AI Deployment Engineer
At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech, and Business strategy.
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
General Description
We are looking for a Forward Deployed Engineer who uses Generative AI as the foundation of software engineering. This role applies AI across the full Product Development Lifecycle, from requirements and design to deployment and operations.
You will:
- Design and build AI Agents, applying advanced prompting techniques and implementing architectures like RAG, ReAct, and Chain of Thought.
- Leverage short and long-term memory, MCP, A2A, ACP, and Agentic AI patterns.
- Use AI IDEs daily and see AI as the core of modern engineering.
Responsibilities
- Translate product and engineering challenges into AI-driven solutions that enhance speed, quality, and outcomes.
- Build and deploy AI Agents with advanced reasoning, integrating:
- Memory
- MCP (Model Context Protocol)
- Custom MCP servers
- Agent-to-Agent (A2A) integrated workflows
- Apply:
- Prompt engineering
- Context engineering
- AI steering
- RAG (Retrieval-Augmented Generation)
- Chain of Thought
- ReAct (Reasoning + Action Paradigm)
- Other modern AI frameworks to real-world use cases
- Partner with product and engineering teams to embed AI, LLMOps, and observability into:
- Requirements
- Coding
- Testing
- Monitoring
- Operations
- Prototype, test, optimize, fine-tune, and scale AI solutions, balancing experimentation with production readiness and inference deployment.
- Design, run, and automate evaluations (evals) to test:
- LLM outputs for quality, reliability, and safety
- Implement security guardrails and robust data integration across agentic workflows to mitigate vulnerabilities.
- Support pre-sales and client discussions by demonstrating applied AI use cases and outcomes.
- Stay ahead of research and practice in GenAI and bring findings into daily engineering practice.
- Communicate findings and trade-offs clearly to both technical teams and executives.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Required Qualifications
- Bachelor’s Degree in Computer Science, Engineering, Applied Math, or related fields
- Strong programming background in Python (or similar) with experience in Generative AI frameworks and APIs
- Daily use of Generative AI IDEs/environments
- Proven experience in:
- Prompt Engineering
- Context Engineering
- AI Steering
- RAG (Retrieval-Augmented Generation)
- MCP (Model Context Protocol)
- Building agent workflows based on the above
- Solid experience with:
- LLMOps
- Structured evaluations (evals)
- LLM observability/tracing tools
- Proven knowledge of:
- GenAI Security practices, including:
- Prompt injection mitigation
- Data integration guardrails
- GenAI Security practices, including:
- Solid understanding of:
- Agent-to-Agent (A2A)
- Agent Coordination Protocol (ACP)
- Experience deploying AI-powered solutions across the product lifecycle (design to monitoring)
- Experience integrating short and long-term memory in AI agents
- Strong communication skills in English, both technical and business-oriented
- Exposure to cloud-native environments
- Ability to work:
- Independently
- Collaboratively in fast-paced environments
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Desired Qualifications
- Knowledge of reasoning strategies (e.g., Chain of Thought, ReAct)
- Experience with agentic AI frameworks, including:
- Autonomous agents
- Multi-Agent Orchestration (e.g., LangGraph, CrewAI)
- Hands-on experience with:
- LLM optimization
- Fine-tuning techniques
- Production inference deployment
- Development experience with custom MCP (Model Context Protocol) servers connecting agents to external tools and data
- Experience in:
- Designing and applying evaluations (evals) to validate LLM outputs
- Experience with:
- Knowledge Graphs
- Hybrid RAG (Retrieval-Augmented Generation) approaches
- Experience with monitoring AI systems for:
- Performance
- Accuracy
- Cost
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location