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Senior engineer builds and operates large-scale LLM serving infrastructure using Kubernetes, observability, and cost-aware tuning to ensure reliable AI production systems at a global bank.
Design, build, and deploy production-ready Generative AI systems using LLMs, RAG, and agentic frameworks for a cloud-based AI consultancy.
Builds a React/Node.js/Python-powered internal developer portal with LLM agents, orchestration layers, and AI-driven search to help thousands of Adobe engineers work faster.
Lead AI/ML initiatives at JPMorgan Chase, designing and deploying agentic/GenAI solutions with LLMs and frameworks like Langchain to solve business problems in a secure, scalable environment.
Senior engineer building and operating a provider-agnostic GenAI platform with guardrails, retrieval, agentic infrastructure, and observability for internal teams at a large investment management company.
Lead the design and delivery of enterprise-scale AI platforms, agentic systems, and GenAI solutions, mentoring engineers and shaping technical strategy for a global tech organization.
Senior AI engineer builds and deploys production-grade AI systems—LLM integrations, RAG pipelines, agentic workflows, and MLOps—using Python, cloud platforms, and AI orchestration frameworks for an insurance company.
Lead architecture for multi-agent AI systems, LLM orchestration, and AI automation workflows at a global adtech agency, mentoring engineers and setting engineering standards.
Build and deploy generative-AI applications using Large Language Models (LLMs) on Azure OpenAI, integrating frameworks like LangChain and LlamaIndex to create scalable NLP solutions for data-driven decision making.
Sr. Data Engineer Ready to turn bold ideas into real-world impact? At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront…
Design and implement AI solutions for Marine Corps operational needs using advanced AI/ML technologies, big data tools (Spark, Hadoop, Databricks), and programming languages like Python, C#, or Java.
Design and deploy autonomous AI agents using LangChain/Crew.ai and optimize RAG systems to deliver scalable, safe agentic solutions for enterprise clients.
Designs cloud-native and on-premises applications on Azure, integrating AI services like Azure OpenAI to build scalable, secure solutions and guide engineering teams.
Build and deploy secure, scalable LLM-powered AI agents and Custom GPTs for Amgen’s enterprise, integrating RAG pipelines, APIs, and cloud-native AWS services to support patient-focused drug discovery and operations.
Lead the design and implementation of a multi-agent AI platform for pharmacovigilance using AWS Bedrock, Anthropic Claude, and LangGraph to automate adverse event data processing while ensuring regulatory compliance.
Build and refine AI agents for pharmacovigilance that extract adverse-event data, apply MedDRA coding, and generate regulatory reports using LLMs, prompt chains, and rule engines.
Design and deploy NLP and GenAI models (LLMs, RAG, agentic AI) to automate compliance monitoring and detect financial crimes like money laundering or insider trading.
Owns F5’s AI model ecosystem, token economy, and agentic platform, managing LLM integrations, developer tools, and cost-efficient AI agent deployment for internal teams.
Builds and maintains AI-ready data pipelines, retrieval systems, and semantic layers for enterprise analytics and generative AI applications (e.g., RAG, vector stores) using Python, SQL, dbt, Snowflake, and cloud tools in a federated financial services environment.
Build and prototype computer-vision models (object detection, classification, tracking) in Python with PyTorch/TensorFlow, validate hypotheses, and collaborate with ML engineers to ship solutions at scale for iGaming.
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