Source description
About the role
Opus Technologies is a trusted engineering partner to payment providers, banks, and fintechs navigating change in a real-time, digital-first world. We solve for business value—accelerating go-to-market, unlocking future readiness, and powering transformation at scale.
Our promise is simple: Business Value Acceleration. Realization. Maximization.
We deliver on this promise through the Opus trifecta—a domain-native engineering skillset, a value-creation mindset, and a toolset that drives business agility. From MVP (Minimum Viable Product) to MPT (Maximum Possible Transformation), Opus turns engineering into a business advantage.
Build and deploy end-to-end AI-powered applications using Python and backend frameworks such as FastAPI or Flask
Develop scalable APIs and microservices to deliver AI/ML functionalities in production environments
Work across the full lifecycle, including data ingestion, transformation, model integration, API development, and frontend integration
Collaborate on UI development and integration using Angular or similar frameworks
Design and implement LLM-based solutions, including RAG pipelines, prompt engineering, and evaluation workflows
Apply statistical and analytical thinking to validate models, interpret results, and improve decision-making
Develop evaluation frameworks to measure model and system performance
Ensure solutions are production-ready with proper logging, monitoring, reliability, and performance optimization
Leverage AI-assisted development tools (e.g., Copilot, Cursor, Claude Code) to enhance productivity
Build reusable components, accelerators, and internal tools to improve development efficiency
Strong proficiency in Python with hands-on experience in backend development
Expertise in REST APIs, microservices architecture, and modern web technologies (JavaScript, HTML, CSS)
Solid understanding of machine learning fundamentals and core statistical concepts
Experience with data processing and ML libraries such as Pandas, NumPy, Scikit-learn, or PyTorch
Familiarity with LLMs, embeddings, vector databases, and modern AI architectures
Knowledge of data pipelines, Git, Docker, CI/CD, and exposure to cloud platforms (AWS/Azure/GCP)
Nice to Have:
Experience with frameworks like LangChain or LlamaIndex
Exposure to vector databases such as FAISS, Pinecone, or Qdrant
Understanding of A/B testing and experimentation frameworks
Experience building AI-enabled products or platforms
A bachelor’s or master’s degree in computer science, Engineering, or a related discipline. Ability to communicate effectively across multiple audiences, including firm-wide business units, senior leaders, associates and clients. Exceptional interpersonal skills, including teamwork, facilitation, and negotiation. Strong planning and organizational skills
More at Opus Technologies