Were looking for a seasoned Software Development Engineer (SDE II) with deep expertise in Analytics and AI to join our high-impact engineering team.

In this role, youll collaborate closely with Design, Product, and cross-functional stakeholders to build innovative analytics and AI-driven solutions that help predict and prevent cyber breaches.

Core Responsibilities :

- AI & Analytics Development: Design, build, and deploy scalable AI-driven analytics solutions, leveraging advanced AI techniques, including Retrieval-Augmented Generation (RAG), AI agents, and foundational models.

- Architecture: Collaborate with cross-functional teams to architect scalable, secure, and performant AI-driven microservices.

- Cloud and AI Integration: Utilize cloud services (primarily AWS Bedrock, Lambda, EC2, S3, RDS) to develop efficient, robust, and scalable solutions.

- Model Evaluation: Implement and evaluate various AI models (e.g., OpenAI, Anthropic Claude, Amazon Titan), understanding trade-offs such as latency, cost, accuracy, and scalability.

- Code Quality: Ensure high-quality code through rigorous code reviews and continuous improvement processes.

- Problem Solving: Address complex technical challenges, identify root causes, and provide effective solutions.

- Cross-team Collaboration: Work closely with product managers, designers, and stakeholders to align technical solutions with business goals.

Essential Skills/ Qualifications/Experience :

- Bachelors or Master's degree in Computer Science, Engineering, or a related field.

- Minimum of 2 years of experience in software development roles, with expertise in Python, NodeJS, or Go.

- Strong hands-on experience with AI/ML, including Retrieval-Augmented Generation (RAG), AI Agents, and deploying these technologies into a production environment.

- Familiarity with AWS Bedrock and its AI model hosting ecosystem is highly advantageous.

- Experience with Typescript and API frameworks (Express) preferred.

- Good understanding of SQL and NoSQL databases.

- Demonstrable experience deploying scalable solutions in cloud environments (AWS preferred).

- Proficient in deploying containerized applications (Docker, Kubernetes, ECS).

- Knowledge of DevOps best practices and Infrastructure as Code (e.g., AWS CloudFormation) is beneficial.

- Exceptional leadership, communication, and mentoring skills.

- Proven capability to own features end-to-end in an agile, fast-paced environment.