Top Tech Jobs & Startup Jobs

Manage multimedia and eLearning projects end-to-end: plan, estimate, budget, vendor-manage, coordinate stakeholders, ensure testing and on-time/on-budget delivery of 100–150 interactive projects annually. Improve processes and report status.

Design, build, evaluate, and scale production-ready AI solutions (LLMs, NLP, retrieval, and generative AI) to support scientific discovery. Develop RAG systems, semantic search, summarization, QA, ranking, recommendation, and evaluation frameworks. Integrate knowledge graphs and domain metadata, partner with engineering and product teams, lead technical decisions, and mentor data scientists.

Collaborate with teams to design and execute testing strategies, drive quality practices, and implement automation and performance testing to ensure high-quality software delivery.

The Principal Architect will define enterprise architecture, drive architecture strategy, govern adherence to principles, collaborate with teams, and communicate complex technical concepts.

Lead a team of engineers in designing and delivering software solutions. Mentor engineers while overseeing architecture, quality, and delivery in alignment with business goals.

Lead an embedded AI squad from discovery to production: harden and deliver AI prototypes, design reusable agentic AI patterns, ensure security and data governance, integrate AI with enterprise systems, codify reference implementations, mentor engineers, and measure outcomes to scale solutions.

The Senior Systems Engineer (AWS) will manage and enhance AWS environments, focusing on reliability, security, and performance while automating systems and collaborating with cross-functional teams.

As a Systems Engineer (AWS), you will maintain cloud-based environments, ensuring they are stable and secure while improving incident response and recovery. Responsibilities include monitoring system health, troubleshooting issues, and collaborating with engineering teams.

This role involves leading engineering teams in the AI Platform, guiding delivery, supporting team growth, and ensuring technical alignment. Responsibilities include managing priorities, fostering collaboration, promoting best practices, and providing technical oversight and strategy to enhance platform capabilities and team dynamics.

Design and deliver production-ready AI, NLP, and generative-AI solutions (including LLMs and RAG) for knowledge discovery. Build retrieval, ranking, recommendation, and decision-support systems, integrate scientific metadata and ontologies, establish evaluation and monitoring, write production Python code, and provide technical leadership and mentoring.