Who We Are Looking For:
DevGrid, a UK and Brazil-based software development firm and venture investor with a global footprint, is building a high-performance team in Brazil for a key portfolio company.
This Is a High-Intensity Role:
We are looking for a dedicated engineer who thrives in fast-paced environments.
Please note the following requirements:
Schedule: Monday–Saturday commitment.
Intensity: 9 - 10 hours of daily screen time; high engagement and availability on chat.
Communication: Proficiency in English (written and spoken) is essential.
Mindset: A high degree of proactivity, commitment, and a drive to deliver cutting-edge AI products.
The Opportunity:
As a senior engineer, you will own the client's AI platform, shaping the next generation of intelligent workflows. This lead role is designed for a self-starter who thrives under pressure, builds production-grade AI systems, and ships LLM-powered agents that automate complex business processes end-to-end.
Working directly with the founders and Head of Product, you will evolve the existing architecture while leading AI engineering for upcoming features. You will collaborate with cross-functional teams to define engineering standards, tooling, and best practices, building a robust, well-documented foundation for future scalability. This is more than a standard placement - it is a high-reward sprint for someone ready to make a significant impact.
Your Role and Responsibilities:
Platform Leadership: Drive the technical development and strategic evolution of the core AI platform.
AI Development: Design, build, and maintain sophisticated AI agents and automated workflows for complex operational tasks.
Agentic Workflows: Lead the design and implementation of multi-node agentic workflows capable of complex reasoning across large document corpora.
RAG Implementation: Build and optimize Retrieval-Augmented Generation (RAG) pipelines to ground LLM responses in proprietary data.
Model Adaptation: Experiment with and adapt LLMs (e.g., OpenAI, Gemini) to meet specific product and business requirements.
Integration: Evaluate existing APIs, define integration strategies, and implement Model Context Protocol (MCP) support.
Orchestration: Build, maintain, and document orchestration pipelines using frameworks like LangGraph or AutoGen.
Collaboration: Partner with ML teams to integrate LLM outputs, vector retrieval pipelines, and evaluation harnesses.
Quality & Safety: Improve reliability through rigorous testing, monitoring, and iterative development.
AI-Assisted Velocity: Leverage AI-coding tools to enhance code quality and test coverage.
Strategic Planning: Participate in roadmap planning, scoping, and internal reviews as a technical lead.
Client Validation: Work directly with clients to validate AI outputs and translate feedback into platform improvements.
Continuous Learning: Stay at the forefront of AI automation and agentic systems.
Essential Qualifications:
5+ years of production software development experience including more than 2 years in a senior or lead role
Strong programming skills in Python, Java, and/or JavaScript
Deep expertise in LLM prompting, structured output techniques, and agentic system design
Experience designing graph-based agentic systems using frameworks such as LangGraph, AutoGen, or similar
Hands-on experience with RAG pipelines, evaluation, guardrails, and LLM observability
Strong experience with vector stores (Pinecone, Weaviate), MongoDB, and document processing pipelines
Solid understanding of LLM Ops: prompt versioning, continuous evaluation, and A/B testing in production
Familiarity with MCP or similar tool-integration protocols
Good understanding of data privacy and ethical considerations in AI
Familiarity with DevOps fundamentals and CI/CD
Experience working with international, cross-functional, remote teams
Advanced English, written and spoken, is a must.
Key Qualifications (Preferred):
Degree in Computer Science or related field (Master’s preferred, but not required if you have a strong portfolio).
Exposure to regulated industries where precision and auditability matter
Familiarity with cloud environments (Azure, AWS, GCP) and backend infrastructure
Experience with observability tools such as LangSmith and Weights & Biases
Active use of AI development tools (ChatGPT, Claude, Copilot, Cursor, etc.)
Experience defining or contributing to engineering foundations at a founding-stage company
Passion for building products with real-world impact
Equivalent practical experience and a strong portfolio of shipped AI products are equally valued.
About DevGrid:
DevGrid is a premier software consulting firm established in 2015, operating across the UK, Europe, and the US with a development hub in Brazil. We believe that world-class software is born from motivated teams, creativity, and robust engineering culture. We drive innovation by combining business insights with exceptional technical execution.
What We Offer:
Full-time contract position (PJ)
100% remote work with a competitive, experience-based salary.
Flexible working hours (within the required schedule).
Paid time off (PTO), holidays, and designated recess days.
Equipment program and sponsorship for relevant professional training.
Visit us:
Website: https://devgrid.co.uk/
Glassdoor: https://www.glassdoor.com.br/Vis%C3%A3o-geral/Trabalhar-na-DevGrid-EI_IE2920141.13,20.htm
*DevGrid is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
If you are ready to make a real impact, come join us on this journey!