
Software • Finance • Education
Embrace Software Inc. is a business investment company that specializes in acquiring and building world-class software businesses across various industrial sectors. With a focus on mission-critical software, Embrace aims to add value to its portfolio of companies, which range from small and medium-sized businesses to Fortune 500 firms. The company supports its acquired businesses by providing resources and operational expertise to foster growth and enhance customer satisfaction.
August 25

Software • Finance • Education
Embrace Software Inc. is a business investment company that specializes in acquiring and building world-class software businesses across various industrial sectors. With a focus on mission-critical software, Embrace aims to add value to its portfolio of companies, which range from small and medium-sized businesses to Fortune 500 firms. The company supports its acquired businesses by providing resources and operational expertise to foster growth and enhance customer satisfaction.
• Embrace Software, headquartered in Tampa, USA, is one of the fastest-growing software acquirers in the world. • We focus on building niche software businesses that deliver mission-critical solutions across industries (Industrial, Healthcare, Fintech and Edtech). • Join us as we lay the groundwork for exponential growth over the next 5 years. • This is a remote position. • Build full‑stack AI prototypes from start to finish. • Create working features that connect AI models with existing systems. • Choose the best AI/ML approach for each project, including LLMs, RAG, NLP, OCR , or recommendation systems. • Use tools like LangChain, LlamaIndex , or similar to implement AI agents, search, and structured outputs. • Prepare and clean datasets , including labeling, PII removal, and creating synthetic data. • Measure and track the accuracy, cost , and speed of AI solutions. • Design and build secure APIs ( REST, GraphQL, gRPC ) that connect to services like OpenAI, Azure Cognitive Services, Hugging Face, and vector databases (Qdrant, Pinecone, pgvector). • Implement streaming and real‑time data handling with error recovery. • Package and deploy prototypes on Azure (preferred) or AWS using Docker and Infrastructure‑as‑Code tools. • Set up CI/CD pipelines and manage secrets securely. • Set up and maintain ML Ops workflows for model training, testing, deployment, and version control, including monitoring and alerting for performance, bias, and compliance. • Apply secure coding practices, authentication, authorization, and API protection ( OAuth2/OIDC, JWT, rate limits ). • Maintain audit logs and follow least‑privilege access rules. • Turn successful prototypes into reusable templates for other teams. • Write clear documentation and setup guides. • Work with product, business, and engineering teams across different industries to understand domain needs and adapt AI solutions to fit real‑world processes.
• 5+ years in software development, including at least 3 years building APIs and backend services in .NET/C#. • Experience with React + TypeScript (or Angular) for building interactive web apps. • Strong SQL skills and experience with relational databases (SQL Server, PostgreSQL) and vector databases for AI search. • Experience designing and using REST, GraphQL, and gRPC APIs with good error handling. • Experience deploying to Azure or AWS, working with containers, and setting up CI/CD pipelines. • Understanding of API authentication, authorization, and secure configuration. • Exposure to Python for AI/ML development is preferred (e.g., working with LLMs, embeddings, RAG pipelines). • Ability to learn and apply new AI/ML tools quickly (LangChain, LlamaIndex, vector DBs, etc.). • Passion for solving problems, picking up new tools, and applying them in production-ready ways. • Able to explain technical concepts clearly to technical and non-technical teams.
• Competitive salary, structured based on UK working hours. • Comprehensive training and mentorship programs for skill and knowledge enhancement. • Opportunities for career advancement and professional development. • Experience collaborating with a diverse, global team within a remote work setting.
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