Develop Python applications including web APIs using FastAPI, pydantic, and SQLAlchemy.
Work with SQL and Azure, including KQL for Azure Log Analytics.
Apply software development best practices such as version control and testing.
CI&T helps large enterprises transform AI potential into real business impact with AI deployment and tech-integrated solutions. With 30 years of experience and 8,000 employees across 25+ countries, we collaborate to build solutions with real impact.
Lead and mentor a high-performing engineering team building a cloud cost management platform.
Drive architectural decisions and technical strategy using Python, FastAPI, PostgreSQL, and modern data platforms.
Collaborate with Product and Design teams to align engineering execution with business objectives.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They use automated screening to shortlist top-fitting candidates for employers worldwide.
Design and develop production-grade LLM applications using Python and FastAPI.
Build and optimize retrieval-augmented generation pipelines with LangChain or similar frameworks.
Implement prompt engineering strategies and evaluate AI systems for accuracy and performance.
Our partner is an innovative engineering team building advanced AI solutions that transform how businesses interact with complex operational data. They offer a fully remote work environment with opportunities to work on cutting-edge technology and collaborate with global teams.
Architect data highways by building custom ETL/ELT pipelines using Databricks, Snowflake, or S3.
Enable bidirectional flow with inbound authentication channels and external APIs for banks to trigger Porters' workflows.
Scale the integration playbook using messaging/streaming services like Apache Kafka and ELT tools to automate customer onboarding.
Porters is building the operating system for autonomous banking. They have gone live with their first customers and are a small, fast-paced team working closely with founders who have scaled fintech and analytics products before.
Lead the design and evolution of highly scalable backend platforms.
Combine hands-on engineering expertise with architectural leadership.
Mentor engineering teams and establish engineering standards.
Our partner is a technology company building scalable backend platforms. They are a growing organization with a focus on engineering excellence and collaboration.
Build an application that connects to legacy CRM systems, extracts data, and prepares it for migration into Dwelly's core platform.
Design workflows for cleaning, mapping, and validating complex CRM data, and build safe import flows with retries and error handling.
Own the platform end-to-end from architecture to production support, working closely with engineering, product, and operations teams.
Dwelly is a UK-based, AI-enabled lettings and property management platform that acquires estate agencies and integrates them into a tech-enabled digital platform. It is a fast-growing, product-focused company backed by top-tier investors with a team experienced in real estate, technology, and operations.
Write clean, maintainable, and well-tested code to support the team's projects.
Contribute to the design and implementation of new features and services.
Collaborate with your team to troubleshoot and resolve issues in production.
Voltus is a leading company for Distributed Energy Resources (DERs), providing a platform that connects any DER to energy markets across the US and Canada to generate revenue for partners. We are a remote and virtual company with teammates across US, Canada, and abroad, who are bright, gritty, and good, passionate about delivering a cleaner energy future.
Build production systems that extract structured data from emails, documents, and other unstructured sources using NLP/LLM workflows.
Develop retrieval and ranking systems (RAG, BM25, embeddings) and define quality metrics with evaluation feedback loops.
Integrate ML and LLM workflows into reliable Python backend services (FastAPI, Django) with clear error handling and observability.
We are a UK-based, AI-enabled lettings and property management platform that grows through a roll-up strategy acquiring estate agencies. We are a fast-growing, product-focused company backed by top-tier investors with a team experienced in real estate, technology, and operations.
Design, develop, test, and deploy new features across front-end and back-end application layers.
Build and maintain REST APIs using FastAPI and develop responsive React-based interfaces.
Implement PostgreSQL data models and work with Docker and AWS-hosted environments.
Spry Methods is a technology solutions provider focused on cloud-hosted applications and web development. The company supports growth initiatives and proposal-driven projects with a collaborative engineering culture.
Develop and maintain cloud infrastructure powering our Clinical AI platform.
Build scalable APIs, microservices, and implement CI/CD pipelines.
Integrate with EHR systems and ensure compliance with healthcare regulations.
We are building the first clinically validated, physician-supervised AI agent that manages chronic diseases. We are an early-stage startup founded by Stanford physicians.