Full-Stack Engineer (AI Group)

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).

Why Join Embrace

• Rapid Growth:

   Our team has expanded to over 300 members in just 4 years — and we’re proud to be recognized on the Inc. 5000 list of 

  America’s fastest-growing private companies.

• Financial Strength:

   We’ve secured $130M in capital.

• Acquisitions:

   With 13 successful acquisitions to date, we’re operating in hyper-scale mode.

• Fortune 500 Impact:

   We serve 16% of Fortune 500 companies.

• Proven Leadership:

   Our CEO/Founder has a track record of creating over $2B in value through his ventures (prior ventures include being a founding member and Chief Strategist at Valsoft, as well as an early lead investor and Board member at VitalHub (TSX: VHI))

Join us as we lay the groundwork for exponential growth over the next 5 years. If you thrive in a fast-paced environment and share our vision, we’d love to have you on board!

This is a remote position.

We are looking for a skilled and adaptable Full-Stack Engineer to join our innovation team. You will work on building and testing AI‑powered prototypes for different software products in our portfolio. This role involves working across backend, frontend, and integration layers to turn ideas into working solutions quickly.

You will work directly with the VP of Technology and other teams to understand problems, choose the right tools, and deliver practical solutions that can be used as the base for future development.

Key Responsibilities

Prototype Development

• Build full‑stack AI prototypes from start to finish.
• Create working features that connect AI models with existing systems.

AI Solution Design

• 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.

Data Work

• Prepare and clean datasets

  , including labeling, PII removal, and creating synthetic data.
• Measure and 

  track the accuracy, cost

  , and speed of AI solutions.

Integration

• 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.

Deployment

• 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.

Security

• Apply secure coding practices, authentication, authorization, and API protection (

  OAuth2/OIDC, JWT, rate limits

  ).
• Maintain audit logs and follow least‑privilege access rules.

Collaboration & Knowledge Sharing

• 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.

• Experience

  : 5+ years in software development, including at least 3 years building APIs and backend services in 

  .NET/C#

  .

• Frontend Skills

  : Experience with React + TypeScript (or Angular) for building interactive web apps.

• Database Skills

  : Strong SQL skills and experience with relational databases (SQL Server, PostgreSQL) and vector databases for AI search.

• API Development

  : Experience designing and using REST, GraphQL, and gRPC APIs with good error handling.

• Cloud & DevOps

  : Experience deploying to Azure or AWS, working with containers, and setting up CI/CD pipelines.

• Security

  : Understanding of API authentication, authorization, and secure configuration.

• AI/ML Skills

  : 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.).

• Adaptability

  : Passion for solving problems, picking up new tools, and applying them in production-ready ways.

• Communication

  : 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