Senior Deployed AI Engineer

Aldelia; Brazil; On-site; BRL 350,000 - 550,000; Full time

Benefits offered by this job

Life, health, and dental insurance

Access to coworking spaces

Regular in-person team gatherings

Flexible work setup: work from home or

Job summary

Aldelia seeks a Senior AI & Agentic Engineer to lead full-stack AI features from UI through data pipelines in a Brazil-based role. You will design interfaces, services, and agentic systems for enterprise clients and work with Google Gemini, Anthropic Claude, or OpenAI on production-grade solutions.

You will own end-to-end components—from React front ends to Python/Node backends, RAG workflows, and cloud deployment—while mentoring juniors and engaging with clients to scope demos and efforts.

Qualifications

• Proficiency in English for daily international collaboration.
• Experience with front-end development (React or similar) and backend frameworks.
• Hands-on experience with RAG, embeddings, and vector search.
• Specialization in at least one AI platform (Google/Anthropic/OpenAI).
• Cloud experience with GCP/AWS/Azure.

Responsibilities

• Develop user-facing interfaces in TypeScript/React and backend services in Python/Node.
• Implement agentic behavior: orchestration, tool calls, memory, guardrails.
• Build RAG pipelines: ingestion, chunking, embeddings, vector/hybrid search.
• Connect AI systems to enterprise data via APIs and MCP protocols.
• Write tests and monitor costs, latency and quality in production.
• Apply CI/CD, testing, observability, and IaC.
• Deploy on cloud infrastructure using containers/serverless.
• Build and maintain data pipelines across data warehouses and lakehouses.
• Mentor junior engineers and contribute to internal accelerators.

Skills

English proficiency

Client-facing

Mentor others

Clear communication

Fast learner

Team collaboration

Education

Bachelor’s or Master’s degree in CS/Engineering

Tools

React

Python

Node.js

LangChain

LangGraph

Claude API

Gemini API

OpenAI API

GCP/AWS/Azure

CI/CD tooling

Job description

Aldelia is a Franco-British multinational focused on HR solutions and outsourced services.

About Our Client

Our client is a global data and artificial intelligence consultancy with a strong presence in Brazil. It helps large companies across a range of industries turn data into tangible results, from strategy to the implementation of AI, analytics, and digital marketing solutions. With a multidisciplinary team of consultants, engineers, and data scientists, it works on high-impact projects and values a collaborative culture focused on continuous learning and innovation.

The Role

Our client is looking for a Senior AI & Agentic Engineer: a full-stack engineer who takes AI features from idea to production. The professional will design and build the interfaces, services, and agentic systems at the heart of client work, such as conversational applications over enterprise data, multi-step agents that automate business workflows, and the retrieval and data pipelines that support them.

This person will own components end to end: the React front end, the Python or Node service behind it, the RAG pipeline feeding it, and the evaluations proving it works. The role combines breadth and depth, from front end to cloud deployment, together with strong expertise in at least one major AI platform: Google (Gemini), Anthropic (Claude), or OpenAI. It involves direct client exposure and supporting the professional development of junior engineers.

Key Responsibilities

Build full-stack AI applications, end to end

• Develop user-facing interfaces in TypeScript/React and the backend services and APIs behind them in Python or Node
• Implement agentic behavior: orchestration, tool and function calling, memory, and guardrails
• Build retrieval-augmented generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid search
• Connect AI systems to enterprise data and applications via APIs, semantic layers, and protocols such as MCP

Make AI systems production-grade

• Write evaluation suites and regression tests for LLM-powered features, and monitor cost, latency, and quality in production
• Apply solid engineering practices: version control, code review, automated testing, CI/CD, and observability
• Deploy on cloud infrastructure (GCP, Azure, or AWS) using containers, serverless, and infrastructure-as-code
• Build and maintain the data pipelines that feed AI systems, across warehouses, lakehouses, and vector stores

Work AI-natively and client-facing

• Use agentic coding tools (Claude Code, Gemini CLI, Codex, Cursor) daily, with good judgment about verification and review
• Communicate progress, trade-offs, and blockers clearly to clients and project leads
• Support pre-sales when needed: scope solutions, build demos, and estimate effort alongside partnership and consulting teams
• Mentor junior engineers and contribute to internal accelerators, reusable components, and engineering standards

Requirements & Qualifications

• 3–5 years of experience in software engineering or data engineering, with extensive hands-on use of AI tools and LLM-based development over the past year (professional projects, internal initiatives, or substantial personal builds)
• Experience with front-end development (React or similar) and at least one backend framework
• Hands-on experience with RAG, embeddings, and vector search, and with at least one agentic framework (LangGraph/LangChain, Google ADK, Claude Agent SDK, or OpenAI Agents SDK)
• Specialization in at least one major AI platform ecosystem — Google (Gemini, Vertex AI, Gemini Enterprise), Anthropic (Claude, Managed Agents, MCP), or OpenAI (Responses API, AgentKit) — and working experience with one cloud platform (GCP, Azure, or AWS)
• Fluency with agentic coding tools such as Claude Code, Gemini CLI, Codex, or Cursor
• Experience building and maintaining data pipelines
• Professional English proficiency (C1/C2 minimum), mandatory: the role involves daily work with international clients and colleagues
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience

Certifications

A certification on at least one major AI platform or cloud is a strong differentiator. Candidates who do not hold one yet are expected to obtain one within the first 2 months in the role, and the client sponsors the exam and provides preparation time. Examples include Claude Certified Developer – Foundations, Google Cloud Professional Machine Learning Engineer, Google Cloud Generative AI Leader, Microsoft Azure AI Engineer Associate, or equivalent AWS credentials.

Nice to Have

• Experience with MCP servers, multi-agent patterns, or LLM evaluation tooling (LangSmith, Langfuse, promptfoo)
• Experience with Terraform or CI/CD pipelines

Key Capabilities

• Breadth across the full stack, with depth in at least one AI platform
• Owns features end to end, from interface to infrastructure
• Cares about evaluation and reliability, not just the happy path
• Communicates clearly with clients in demos, documents, and code review
• Client-facing mindset: understands client needs and translates business requirements into technical solutions
• Learns new tools and models fast, and shares what works
• Flexible work setup, with the option to work from home or anywhere you prefer
• Life, health, and dental insurance
• Regular in-person team gatherings, with workshops, lectures, training, and social activities
• Access to coworking spaces
• Semi-annual performance evaluations, with opportunities for promotion