Senior Software Engineer (755049)

Build and maintain the grant discovery product, leveraging Perplexity web search, vector embeddings, and related AI technologies. Automate and improve the evaluation of grant opportunities using OpenAI's large language models (LLMs). Continuously evaluate emerging AI technologies and integrate relevant developments into the grant discovery and grant writer products. Conduct, monitor, and analyze A/B tests to evaluate product changes and impact. Proactively propose, prioritize, and implement new initiatives to improve the functionality and performance of the grant discovery and writer products. Design and implement user metrics collection systems to inform product-level strategy and quarterly planning. Lead daily stand-up meetings, backlog refinement sessions, and sprint retrospectives. Lead technical design discussions, drive architectural decisions, and define coding standards for the team. Coordinate with product managers, designers, and data analysts to define scope, requirements, and roadmaps for cross-functional projects. Define project scopes based on design requirements, user research, and technical feasibility. Execute and monitor the deployment of new code to production environments. Mentor junior engineers through code reviews, pair programming, and technical guidance. Evaluate and support the performance and professional development of engineers on the team. Triage, diagnose, and resolve software bugs to maintain system stability and performance. Ensure site reliability via on-call rotations, monitoring application performance, scaling resources as needed, and managing deployments and infrastructure. Build and maintain infrastructure that enhances developer workflows and improves user-facing features. Conduct interviews to recruit and evaluate software engineering candidates. Stay current with industry software standards by attending conferences and sharing acquired knowledge and best practices within the company.

3 years as software engineer. Experience or education must include demonstrated working or theoretical knowledge of:

-TypeScript/Javascript

-Advanced AI technologies and techniques, including vector embeddings and databases, retrieval-augmented generation (RAG), and SageMaker-hosted ML pipelines.

-Ruby on Rails, React/TypeScript

-modern large language models (LLMs)

-LLM providers such as OpenAI, Perplexity, and Anthropic

-LLM-based agents.

-Evaluating and integrating LLM technologies into large-scale production systems.

-Designing scalable system architectures and data models (Postgres, DynamoDB, Redshift)

-Implementing high-performance APIs.

-Domain expertise in the grant discovery and writing process for academic, government, corporate, and private grants.

-Terraform and AWS infrastructure services, including EC2, ECS, CodeBuild/CodePipeline, S3, and CloudWatch.

-Testing and observability tools, including Datadog and Sentry.

B.S. in Computer Science, Software Engineering, or a related field.

Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at placementservicesusa.com with reference #755049 in the subject line.

Thank you.