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Generative AI Engineer
Build and deploy enterprise Generative AI platforms using Python, LLM frameworks, and AWS services like Bedrock and Lambda.
Senior AI/Backend Engineer
Develops and maintains a multi-agent AI voice dispatch assistant in Python on AWS, focusing on LLM orchestration, RAG pipelines, and secure backend APIs for scalable, production-grade voice AI systems.
Member of Technical Staff
Member of Technical Staff (Model Behavior) Department: AI Research & Systems Location: San Francisco, Palo Alto Compensation: $200K – $330K • Offers Equity Employment Type: FullTime About the Role We're hiring…
Senior Product Manager
Senior Product Manager Location: Bengaluru Department: Product Management Razorpay is one of India’s leading full-stack financial technology companies, powering the way businesses move, manage, and grow money. Founded…
AI/ML Systems Engineer
AI/ML Systems Engineer Location: Dayton, OH, USA Work Location: onsite MTSI is seeking an AI/ML Systems Engineering Subject Matter Expert to support ground systems architecture, digital engineering, DevSecOps, and…
Data & AI Enablement Analyst
Sr L48 Data & AI Enablement Analyst Location: Houston, TX, Bartlesville, OK, Midland, TX Remote Type: Fully Onsite Time Type: Full time Job Description Welcome to ConocoPhillips, where innovation and excellence…
Senior Full Stack Engineer, Voice AI
Senior Full Stack Engineer (Voice AI) Location: Gurugram, in Company Description Launched in 2007 by Aloke Bajpai & Rajnish Kumar, ixigo (Le Travenues Technology Limited) is a technology company focused on…

Senior Software Engineer - Python/Typescript
Build AI-driven automation to replace manual business workflows in a fintech POS company, using Python/TypeScript and agentic systems to streamline ops, sales, and support processes.
Senior Software Engineer (Python)
Build and maintain AI-powered healthcare platforms using Python and Next.js, focusing on document processing and clinical review automation.
Senior Software Engineer
Builds backend systems for an enterprise AI-security platform, integrating AI tools like ChatGPT and enforcing governance rules while partnering with frontend, security, and infrastructure teams.
AI Software Engineer
AI SSE Department: Tech Experience: 4+ Senior Software Engineer – AI (Agentic AI Systems) Location: Bangalore Experience: 4–8 Years Employment Type: Full-time About the Role We are looking for a highly skilled Senior…

Forward Deployed Engineer, Trust and Safety
Build and tune fraud-detection models and signals for Sift’s AI platform, analyze global abuse patterns, and work directly with customers to reduce fraud while improving approval rates.
Cyber Security Engineer
Cyber Security Engineer (Junior) Location: Penang, MY Time Type: Full time Job Description Job Summary Enovix seeks a junior-level, hands-on Cyber Security Engineer to strengthen security across enterprise IT,…
Senior Software Engineer, Agentic Intelligence
Senior Software Engineer II - Agentic Intelligence Location: Remote - United States Department: Engineering What We’re Building Honeycomb is a service for the near and present future, defining observability and raising…
Frontend Engineer (React)
Builds React-based web apps that integrate GenAI features like LLMs and embeddings into intuitive user workflows, optimizing performance and testing new AI capabilities.
AI/ML Data Science / Gen AI / MLOps
Build and deploy AI/ML models, including generative AI and LLMs, using Python and cloud platforms like Azure OpenAI and Vertex AI.
Sr L48 Data & AI Enablement Analyst
Build and govern trusted master data and AI solutions to power analytics and automation for ConocoPhillips’ Lower 48 operations, using SQL, cloud platforms, and AI governance practices.
Developer Support Engineer (Singapore)
About the company Braintrust is the agent observability platform. By actively applying intelligence to agent traces and automatically surfacing the most critical patterns, Braintrust gives teams the visibility to…
Senior AI Engineer - Services Special Projects
Build and deploy production-grade LLM-powered services at scale, owning MLOps/LLMOps pipelines, inference optimization, and safety guardrails for Apple’s AI features.