
Job Overview
Location
United Kingdom (Remote)
Job Type
Full-time
Category
Software Engineering
Date Posted
June 13, 2026
Full Job Description
đź“‹ Description
- • Design, develop, and maintain enterprise-grade software applications across the full stack, including APIs, data layers, application services, and front-end interfaces.
- • Write clean, efficient, and maintainable code using test-driven development practices to ensure high-quality software delivery.
- • Build scalable and reliable back-end systems using Go and Python, with a focus on performance, reliability, and maintainability.
- • Develop and maintain REST, gRPC, and GraphQL APIs to enable seamless integration between enterprise systems and internal services.
- • Integrate multiple enterprise applications and services using scalable frameworks such as FastAPI.
- • Design and manage data schemas using relational databases like PostgreSQL and NoSQL databases.
- • Construct data pipelines for machine learning workflows using event-driven technologies including Temporal and Kafka.
- • Work with foundational large language models (LLMs) from OpenAI, Gemini, and Claude to power Agentic AI features and RAG-based solutions.
- • Ensure all applications adhere to enterprise security best practices and industry-standard protocols for data protection and access control.
- • Design and implement enterprise-grade features and modules using SOLID principles and established software engineering best practices.
- • Develop high-availability, low-latency software products leveraging Agentic Architecture and LLM-powered automation.
- • Collaborate with cross-functional teams including product managers, designers, and other engineers to deliver solutions that meet enterprise client needs.
- • Continuously improve software development processes, tooling, and team practices to enhance velocity and quality.
- • Deploy and manage applications in multi-tenant SaaS environments with a focus on scalability, isolation, and tenant-specific configurations.
- • Utilize cloud infrastructure on Google Cloud Platform (GCP) for hosting, scaling, and monitoring services.
- • Containerize applications using Docker and orchestrate deployments with Kubernetes.
- • Implement and maintain front-end interfaces using HTML, CSS, and JavaScript frameworks such as React or Angular.
- • Apply knowledge of algorithms, data structures, and object-oriented programming to solve complex software engineering challenges.
- • Work effectively within a global, distributed team environment with asynchronous collaboration across time zones.
- • Contribute to the evolution of Ema’s Universal AI Employee platform by shipping production systems that automate real business processes at scale.
🎯 Requirements
- • 7+ years of relevant software engineering experience
- • Proficiency in back-end development using Python and Go
- • Experience with PostgreSQL, Redis, and Elastic
- • Knowledge of REST, gRPC, and GraphQL API design
- • Experience with Docker, Kubernetes, and GCP
- • Bachelor’s degree in Computer Science or related field
🏖️ Benefits
- • Eligibility for variable compensation and equity
- • Opportunity to work with industry-leading AI technologies and foundational LLMs
- • Collaborative environment with engineers from top tech companies and universities
- • Equal opportunity employer with inclusive policies
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Ema Unlimited, Inc.
Ema Unlimited, Inc. provides an AI-powered universal employee platform that automates complex workflows across support, sales, legal, and compliance teams. Its agentic system integrates with enterprise applications, synthesizes data, and executes tasks through natural language commands, reducing manual effort and accelerating decision-making for mid-market to Fortune 500 organizations.
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