Senior Ai And Agentic Engineer (Pcs847)

Overseas; Brasília; Remote; BRL 601,000 - 952,000; Full time

Benefits offered by this job

Fully remote

Mentoring junior engineers

Job summary

Overseas is seeking a Senior AI and Agentic Engineer to design and build full-stack AI applications and agentic systems. You will own the React frontend, the Python/Node backend, RAG pipelines, and evaluation suites in a global remote setting.

You’ll specialize in at least one major AI platform (Google, Anthropic, or OpenAI) and collaborate with clients, mentor juniors, and help evolve internal accelerators and standards.

Qualifications

• 3 to 5 years of software or data engineering experience with hands-on AI tools
• Fluent English proficiency and strong communication with international clients
• Bachelor's or Master's degree in computer science, engineering, or related field
• Certification on AI platform or cloud is a differentiator and encouraged within two months

Responsibilities

• Develop user-facing interfaces in Type Script and React, plus backend services in Python or Node
• Implement agentic behavior including orchestration, tool calls, memory, and guardrails
• Build retrieval-augmented generation pipelines (ingestion, chunking, embeddings, vector search)
• Connect AI systems to enterprise data via APIs and semantic layers
• Write evaluation suites and regression tests for LLM-powered features and monitor metrics
• Apply engineering best practices: version control, testing, CI/CD, observability
• Deploy on GCP, Azure, or AWS and maintain data pipelines feeding AI systems
• Use tools like Claude Code, Gemini CLI, Codex, Cursor with careful verification
• Communicate progress and blockers to clients and leads; support pre-sales as needed
• Mentor junior engineers and contribute to accelerators and standards

Skills

Python

TypeScript/JavaScript

React

APIs

Cloud platforms

LLM tooling

CI/CD

Mentoring

Client communication

Education

Bachelor's or Master's in CS/Engineering

Tools

Terraform

Lang Chain

Lang Graph

Claude SDK

OpenAI SDK

Job description

Senior AI and Agentic Engineer

Peru, Argentina, Brazil Remote

About Our Client

Our client is a global data and AI consulting firm serving enterprise clients across multiple industries, including FMCG, financial services, healthcare, manufacturing, and the public sector, with a team of data and AI experts spread across 20+ countries.

About the Role

We're looking for a Senior AI and Agentic Engineer to design and build full-stack AI applications, agentic systems, and production-grade AI infrastructure. You'll take AI features from idea to production, owning the React front end, the Python or Node service behind it, the RAG pipeline feeding it, and the evaluations proving it works.

This is a breadth-and-depth role. You need to move confidently across the full stack and have genuine specialization in at least one major AI platform: Google, Anthropic, or Open AI. You'll work with direct client exposure, communicate trade-offs and progress clearly, and support the development of junior engineers around you.

Responsibilities

• Develop user-facing interfaces in Type Script and React, along with the backend services and APIs behind them in Python or Node
• Implement agentic behavior including orchestration, tool and function calling, memory, and guardrails
• Build retrieval-augmented generation pipelines covering ingestion, chunking, embeddings, and vector and hybrid search
• Connect AI systems to enterprise data and applications via APIs, semantic layers, and protocols such as MCP
• Write evaluation suites and regression tests for LLM-powered features, monitoring cost, latency, and quality in production
• Apply solid engineering practices including version control, code review, automated testing, CI/CD, and observability
• Deploy on cloud infrastructure across GCP, Azure, or AWS, and build and maintain the data pipelines feeding AI systems
• Use agentic coding tools such as Claude Code, Gemini CLI, Codex, or 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, including scoping solutions, building demos, and estimating effort
• Mentor junior engineers and contribute to internal accelerators, reusable components, and engineering standards

What We're Looking For

• 3 to 5 years of software or data engineering experience, with extensive hands-on use of AI tools and LLM-based development over the past year
• Strong programming skills in Python and Type Script or Java Script, with experience building and consuming APIs
• Experience with front-end development in React or similar frameworks, and at least one backend framework
• Hands-on experience with RAG, embeddings, and vector search, and with at least one agentic framework such as Lang Graph, Lang Chain, Google ADK, Claude Agent SDK, or Open AI Agents SDK
• Deep specialization in at least one major AI platform ecosystem: Google (Gemini, Vertex AI), Anthropic (Claude, MCP), or Open AI (Responses API, Agent Kit)
• Working experience with at least one cloud platform (GCP, Azure, or AWS), and experience building and maintaining data pipelines
• Fluency with agentic coding tools such as Claude Code, Gemini CLI, Codex, or Cursor
• Professional English proficiency at C1 or C2 level minimum, as you'll work daily with international clients and colleagues
• Bachelor's or Master's degree in computer science, engineering, or a related field, or equivalent practical experience
• A certification on at least one major AI platform or cloud is a strong differentiator at application; if you don't hold one yet, obtaining one within the first two months is required, with exam sponsorship and prep time provided
• Experience with MCP servers, multi-agent patterns, or LLM evaluation tooling such as Lang Smith, Langfuse, or promptfoo
• Experience with Terraform or CI/CD pipelines
• Background in a consulting, professional services, or client-delivery environment

Work Schedule

100% remote setup so you can work wherever you're most productive

This position operates on a full-time basis, with dedicated hours to ensure alignment with the team and delivery of quality work

Availability during US business hours

Compensation & Time Off

• Compensation paid in USD
• Paid bi-monthly on the 15th and 30th
• Paid Time Off according to company policy