
Software Engineer
1 week ago
Dream is a pioneering AI cybersecurity company delivering revolutionary defense through artificial intelligence. Our proprietary AI platform creates a unified security system safeguarding assets against existing and emerging generative cyber threats. Dream's advanced AI automates discovery, calculates risks, performs real-time threat detection, and plans an automated response. With a core focus on the "unknowns," our AI transforms data into clear threat narratives and actionable defense strategies.
Dream's AI cybersecurity platform represents a paradigm shift in cyber defense, employing a novel, multi-layered approach across all organizational networks in real-time. At the core of our solution is Dream's proprietary Cyber Language Model, a groundbreaking innovation that provides real-time, contextualized intelligence for comprehensive, actionable insights into any cyber-related query or threat scenario.
We are looking for an experienced Software Engineer with GenAI/ML knowledge in our AI/ML Applications team. In this role, you'll be responsible for designing, building, deploying, and maintaining production-grade AI systems and GenAI pipelines. You'll translate cutting-edge data science research into practical, scalable solutions, handling model/agent deployment both in cloud environments and on-premise. You'll optimize and implement workflows, and AI agents to ensure high performance and reliability in production environments.
Responsibilities- Design, implement, and deploy AI-driven applications, AI workflows, and LLM-based agents into production.
- Build, manage, and maintain robust GenAI systems.
- Optimize system performance, including robustness, scalability, communication protocols and resource utilization both on cloud and on-premises.
- Develop and maintain services, APIs and integrate ML models into microservices-based applications.
- Collaborate with cross-functional teams including data science, backend, DevOps, and platform teams.
- Stay up to date with the latest developments in AI and related fields, focusing on LLMs, exploring how emerging technologies can be applied to improve products and services.
None
Skills
- At least 4-5 years of experience in building production grade backend software systems
- Understanding of microservice design and architecture
- Strong experience in designing, building and maintaining scalable infrastructures including deployment, DBs, communication
- Strong proficiency in Python
- Understanding of Machine Learning lifecycle and best practices for AI
- Excellent problem-solving abilities, coupled with a creative and strategic mindset
- Proven ability to work effectively in a team setting
Advantages:
- Experience with AI Agent frameworks (LangChain, LangGraph etc.)
- Experience with ML lifecycle (deployment, serving, maintaining etc.)
- Familiarity with cybersecurity applications of machine learning
- Advanced skills in performance optimization for high throughput systems
Tech Stack:
Kubernetes, Docker, FastAPI, Flask, vLLM, AWS (EC2, EKS, ECR), HuggingFace, LangChain, LangGraph
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