Temus

Software Quality Engineer responsible for building automated testing, validating software across functional and performance dimensions, and driving continuous quality improvement. The role partners with multidisciplinary teams to deliver reliable web, mobile, and API services.

Design, automate, and operate secure, scalable cloud platforms across AWS, Azure, and GCP. This hands-on Cloud DevOps Engineer role focuses on Kubernetes, infrastructure as code, CI/CD, observability, reliability, and cloud optimization for client environments.

Lead AI Engineer responsible for delivering agentic AI and machine learning solutions from incubation through commercial deployment while building and mentoring a high-performing AI and data engineering team. The role combines hands-on technical leadership, client engagement, and thought leadership across LLM systems and MLOps.

AI Engineer delivering end-to-end AI and ML solutions for government and private-sector clients, spanning LLM applications, agentic systems, and MLOps. The role combines hands-on implementation with AI governance and client collaboration.

Build and deploy production-grade, AI-enabled applications while working directly with clients to solve complex business challenges. This role bridges consulting, software engineering, cloud delivery, and practical AI implementation.

Lead the technical delivery of multiple Newgen-based software projects while managing small engineering teams and engaging directly with clients and stakeholders. The role combines hands-on Java development, architecture, integrations, code reviews, and project risk management.

Lead AI Engineer responsible for solving complex problems with LLM, agentic, and machine learning systems while building and mentoring a world-class AI and data engineering team. The role combines hands-on AI/ML engineering, MLOps, cloud delivery, client engagement, and AI thought leadership.

Senior AI Engineer delivering end-to-end AI solutions, governance, and transformative outcomes for public- and private-sector clients. The role combines machine learning expertise, deployment practices, and client collaboration across a broad range of AI domains.