Core Responsibilities :

Technical Leadership : Lead and mentor developers, fostering a culture of innovation, quality, and continuous improvement.

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 :

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

- 5+ years of experience as a Senior or Lead Engineer 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 production environments.

- 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.

- If you're passionate about cyber risk, thrive in a fast-paced environment, and want to be part of a team that's redefining security, we want to hear from you! .