Top Tech Jobs & Startup Jobs

Lead the architecture and implementation of agentic AI systems: multi-agent orchestration, real-time integrations, STT/NLU ingestion, LLM fine-tuning and RAG pipelines, governance and human-in-the-loop controls, and scalable, low-latency platform design to enable proactive incident triage and automated investigations.

Lead design and implementation of end-to-end Salesforce CPQ solutions for complex quote-to-cash programs. Collaborate with clients and internal teams to translate requirements, ensure integrations with Salesforce and external systems, provide technical leadership and mentorship, solve technical challenges, and maintain high ethical and delivery standards.

Design and build full‑stack applications using React and Java. Develop microservices with Spring Boot, use Hibernate for persistence, integrate CI/CD and Docker, and work with MySQL/Oracle databases.

Provide ServiceNow administration, development, and integration services. Act as a SNOW consultant/engineer focusing on systems and storage, delivering implementations, customizations, and client-facing support to optimize IT service management.

Lead research, design, and deployment of multi-agent, agentic AI systems using LangGraph and LLM orchestration. Build memory-augmented agents, implement RAG with vector DBs, apply RLHF/RLAIF, prototype PoCs, scale production architectures, and mentor AI engineers.

Design and architect Azure-based solutions using Azure PaaS, networking, storage, databases, and DevOps. Integrate .NET Core applications, APIs, and CDN, ensure scalability, reliability, and best-practice cloud architecture.

Lead database migration projects to Azure: assess on-prem and cloud transactional databases, design and execute heterogeneous migrations, develop migration scripts and test plans, troubleshoot issues, optimize performance, and document migration processes from dev to production.

The role requires leading data science initiatives, implementing AI use cases, and applying advanced data analysis techniques to drive business solutions.

Lead enterprise data architecture strategy, design conceptual and implementable data models, define integration and data movement patterns, support master data solutions and governance, produce solution design artifacts, and advise on emerging technologies.

Perform testing with a focus on performance and load using JMeter and HP LoadRunner. Monitor applications, analyze performance metrics, and produce performance reports.