At a Glance
- Tasks: Design and implement AI-driven features for a cutting-edge SaaS platform.
- Company: Join a fast-growing US-based company transforming the energy sector.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic, fast-paced environment with a focus on collaboration and innovation.
- Why this job: Make a real impact by integrating AI into innovative solutions.
- Qualifications: 3+ years in software engineering with strong backend and AI/ML experience.
The predicted salary is between 70000 - 90000 £ per year.
At Remote Star, we're currently hiring for one of our clients based in Houston, TX.
Years of experience: 3 to 5 years
About Client
A fast-growing US-based Saa S company is transforming how energy firms manage operations.
Their end-to-end ERP platform streamlines field data, production, finance, land, and compliance, delivering real-time insights and operational efficiency.
With a strong client base and innovative tech, they're redefining digital transformation in the energy and utilities sector.
You'll design and implement AI-driven functionality that improves automation and user experience. This includes leveraging LLMs, machine learning models, and modern AI tooling within a production Saa S environment.
This is a hands-on role for someone who can move quickly, make pragmatic decisions, and bring AI concepts into real, scalable product features.
Responsibilities
- Design and implement AI-powered features within the platform (e. g., automation, recommendations, copilots)
- Integrate LLMs and/or ML models into existing services and workflows
- Evaluate, select, and optimize AI tools, APIs, and frameworks for production use
- Collaborate with Product to translate business problems into AI-driven solutions
- Build and maintain scalable backend services to support AI functionality
- Profile, test, and optimize performance of AI-integrated systems
- Ensure reliability, security, and cost-efficiency of AI components in production
- Contribute to architecture decisions around AI integration and system design
- Partner with engineering teams to embed AI into existing applications without degrading stability
Requirements
- 3+ years of experience as a software engineer in a Saa S or cloud-based environment
- Strong backend engineering experience (Ro R and/or Golang preferred)
- Experience integrating APIs and working within distributed systems
- Hands-on experience with AI/ML tools (e. g., Open AI, Anthropic, Hugging Face, or similar)
- Experience building or integrating AI-powered features into applications (not just experimentation)
- Strong understanding of data flow, system design, and performance optimization
- Experience with relational databases (SQL Server or similar)
- Familiarity with microservices architecture, Kubernetes, and CI/CD pipelines
- Experience deploying applications in Azure or similar cloud environments
- Strong problem-solving skills with ability to work in ambiguous, fast-moving environments
- Builder mindset—someone who can take an idea and turn it into a working feature quickly
- Pragmatic approach to AI (focus on value, not hype)
- Ability to work independently in a contract environment while collaborating closely with internal teams
- Strong communication skills and ability to explain AI concepts to non-technical stakeholders
- Preferred
- Experience with prompt engineering, embeddings, or retrieval-augmented generation
- (RAG)
- Exposure to model evaluation, fine-tuning, or AI performance monitoring
- Experience with event-driven architectures or real-time data processing
- Background in energy, fintech, or other complex data-driven industries
