Compensation: $282k – $370k We believe that mental health is just as important as physical health. We recognize that mental health issues can be complex and multifaceted, and we are dedicated to treating the whole…
Compensation: ₹26L – ₹35L • No equity Role Summary This role is suited for a candidate with deeper interest and capability in machine learning systems, model development, model evaluation, inference workflows,…
We are looking for a highly skilled AI Agent Developer to build advanced AI-driven solutions that empower businesses through cutting-edge technologies. This role focuses on designing, developing, and optimizing…
A Staff Software Engineer at Visa builds and scales enterprise-grade Generative AI and agentic applications, designing full-stack production-grade systems spanning frontend (React), backend (Python/Node.js/Java), LLM integrations (OpenAI, Anthropic), RAG pipelines, and cloud infrastructure (AWS/Azure/Docker/Kubernetes).
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated…
Compensation: $150k – $250k • 0.5% – 1.5% About Qumis Qumis is a venture-backed AI startup building the most advanced platform for reading and interpreting insurance policies. We help P&C insurance…
An Agentic AI / GenAI Engineer designs and deploys secure, production-grade AI agents using the Google Cloud AI stack, building RAG systems, LLM applications, and MLOps pipelines.
Compensation: ₹40L – ₹58L Role : Agentic AI / GenAI Engineer Experience : 6+ years in AI/ML/data science/software engineering, with 3 years in GenAI, LLM, RAG, conversational AI, or ML productionisation. Common Job…
Visa is hiring a Senior Staff Software Engineer to lead the development of GenAI-enabled applications, integrating with payment systems using frameworks like LangChain and AWS, while mentoring a team.
The AI Architect designs, builds, and deploys production-grade Generative AI systems on AWS, including RAG pipelines, semantic search, and LLM-powered applications used by enterprise users. Core technologies include LLMs (GPT, Claude, Mixtral), vector databases (FAISS, OpenSearch, Pinecone), AWS AI/ML services (Bedrock, SageMaker), and frameworks like LangChain and FastAPI.
A VP-level AI Engineer at Morgan Stanley builds autonomous multi-agent systems using LLMs and reasoning models, designing agent orchestration, calibration scoring, and guardrails, while collaborating across divisions on GenAI platform innovation and cloud adoption roadmaps.
Location: New York, NY or San Francisco, CA (Hybrid / On-site) Employment Type: W-2 Contract or Full-Time (Must be authorized to work on W-2 in the US without sponsorship) Experience: 3+ Years Job Summary Our client is…
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