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Software Development Engineer III - AI & Analytics
Software Development Engineer III - AI & AnalyticsPylon • Bangalore
Software Development Engineer III - AI & Analytics

Software Development Engineer III - AI & Analytics

Pylon • Bangalore
30+ days ago
Job description

Description : 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.
  • 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.
  • (ref : hirist.tech)

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