
501 - 1000 employees
Founded 2006
💳 Fintech
🤖 Artificial Intelligence
🤝 B2B
Fintech • Artificial Intelligence • B2B
SPD Technology is a global software product development company that delivers custom digital platforms, cloud and DevOps, AI/ML, and fintech/payment solutions. They specialize in application modernization, data analytics and engineering, system integration and APIs, security and quality engineering, and mobile/web UX/UI development. SPD works as a B2B partner for enterprise and growth-stage clients (notable customers cited include PitchBook and Poynt), focusing on building payment systems, billing and fraud-detection software, data platforms, and AI-enabled products for industries such as fintech, insurance, healthcare, and e-commerce.
🔥 3 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

501 - 1000 employees
Founded 2006
💳 Fintech
🤖 Artificial Intelligence
🤝 B2B
Fintech • Artificial Intelligence • B2B
SPD Technology is a global software product development company that delivers custom digital platforms, cloud and DevOps, AI/ML, and fintech/payment solutions. They specialize in application modernization, data analytics and engineering, system integration and APIs, security and quality engineering, and mobile/web UX/UI development. SPD works as a B2B partner for enterprise and growth-stage clients (notable customers cited include PitchBook and Poynt), focusing on building payment systems, billing and fraud-detection software, data platforms, and AI-enabled products for industries such as fintech, insurance, healthcare, and e-commerce.
• Work with GenAI & LLMs: Design, develop, and fine-tune generative AI models using transformer architectures. Implement advanced techniques to create practical solutions for real-world challenges. • Use Modern Toolkits: Leverage frameworks like LangChain, LangGraph, and LangSmith to build automated pipelines and intelligent agents. Integrate these tools with vector databases for efficient similarity search and real-time analysis. • Extract Data Insights: Process and analyze large volumes of unstructured data using embeddings and statistical modeling to identify meaningful insights. • Build Scalable Systems: Collaborate with cross-functional teams to create production-grade ML systems that handle real-time, high-volume data processing. • Mentor & Lead: Act as a mentor for junior team members and stay updated on trends in Agentic AI, transformer models, and generative systems. • Collaborate & Communicate: Work with Product and Engineering teams to improve data management and support innovation. Present complex analyses clearly and effectively.
• Educational Background: You hold a Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field. • Experience: You bring 4+ years of production experience in the ML field, with a track record in developing transformer-based models and deploying them in scalable systems. • Technical Expertise: • - Proficient in Python and machine and deep learning frameworks like TensorFlow, PyTorch, ScikitLearn, Spacy or other. • - Experienced in natural language processing and modern LLM based techniques. • - Experience with full ML lifecycle, data preprocessing, training, evaluation stages and monitoring techniques • - Skilled with SQL and data extraction methods. • Innovative Thinker: You thrive on solving complex problems and are always exploring new trends in Generative AI. • Collaborator & Communicator: You’re an excellent communicator able to collaborate and express your thoughts in a professional manner to team members, other engineering teams and stakeholders. • Domain Knowledge: Exposure to financial services, investment banking, venture capital, or private equity is nice to have.
Apply Now🕒 2 days ago
Full-stack developer at TechBiz Global creating innovative software solutions using AI tools. Involvement in front-end and back-end development with high-performance architecture.
AWS
Cloud
Google Cloud Platform
JavaScript
Microservices
Next.js
Redis
TypeScript
🕒 3 days ago
Senior AI Product Engineer building the AI operating layer for the #1 lead marketplace in the USA. Owner of complete production outcomes, transforming high-value problems into shipped AI systems.
Python
TypeScript
🕒 3 days ago
Software Engineer using AI tools to maintain complex software systems and collaborate with an international team. Engage in backend and frontend development while implementing best practices.
Docker
Java
JavaScript
Node.js
NoSQL
PHP
Python
SQL
Go
.NET
🕒 4 days ago
Python Developer focused on creating intelligent agents with AI team using frameworks like Microsoft Autogen. Collaborating on cloud-native applications and creating robust APIs.
AWS
Azure
Cloud
Docker
Flask
Google Cloud Platform
Grafana
Kafka
MongoDB
NoSQL
Postgres
Prometheus
Python
RabbitMQ
Redis
SQL
Terraform
🕒 4 days ago
AI Engineering Tech Lead driving the design and delivery of AI agent systems and multi-agent architectures. Leading technical discussions and mentoring engineers in achieving high coding standards.
AWS
Azure
Cloud
Flask
NoSQL
Python
SQL