Live opening · Posted 3 days ago
SDE III AI and Analytics
Safe Security · Bangalore
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At a glance
The key details from the original listing.
CompanySafe Security
LocationBangalore
Experience5-9 yrs
Source
Instahyre
Listed3 days ago
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About the role
Description supplied by the original job listing.
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: Utilise 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.
Requirements:
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 containerised 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.
Experience
5-9 yrs
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