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Senior engineer builds and governs enterprise AI platforms, implementing security controls, cost guardrails, and GenAI features on AWS while enabling teams to use LLMs and agents responsibly.
Build and optimize enterprise GenAI applications using LLMs, prompt engineering, RAG, and AI agents with Python and frameworks like LangChain.
Come work at a place where innovation and teamwork come together to support the most exciting missions in the world! About the Role We are looking for a talented and driven Senior Python Software Developer to join our…
Kenvue is currently recruiting for a: Lead Solution Architect What we do At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house of…
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into…
Principal Software Engineer designs and builds agentic AI integrations for Black Duck's AppSec tools (SAST/SCA/DAST), enabling secure, AI-driven developer workflows via MCP servers, multi-agent orchestration, and CI/CD plugins.
Build and deploy generative AI solutions in Python, designing backend architectures, RAG systems, and AI agents while implementing DevOps practices on GCP.
Designs and optimizes prompts for LLMs (GPT, Claude, Gemini) and builds RAG pipelines using LangChain/LlamaIndex to deliver tailored AI outputs for enterprise domains like legal, medical, and finance.
Build and scale AI agents and ML pipelines using Python, PyTorch/TensorFlow, and agent frameworks like LangChain; integrate LLMs, vector DBs, and cloud-native systems.
Builds enterprise AI apps using LLMs, RAG, and Agentic AI frameworks in Python, deploys them on cloud platforms, and integrates them with enterprise systems.
Designs and deploys production-grade generative AI solutions (LLMs, RAG, AI agents) for enterprise clients, using frameworks like LangChain and cloud platforms like Azure OpenAI, with a focus on scalability, security, and cost efficiency.
Build and scale enterprise microservices in Java and React, then extend them with agentic AI features that securely connect LLMs to internal systems using RAG, MCP, and prompt engineering.
Senior full-stack engineer building Java microservices and AI agents that connect LLMs to enterprise systems using RAG, prompt engineering, and modern AI tooling.
Build and deploy production-grade AI agents for a media company, designing agentic workflows, RAG systems, and LLM-powered tools to automate editorial, subscriptions, and advertising tasks.
Build and deploy production-grade AI agents and RAG systems to optimize Pfizer’s commercial marketing spend and workflows, using Python, cloud LLMs, and agent frameworks like LangChain.
Build and deploy NLP and generative AI systems—fine-tuning LLMs, RAG pipelines, and vector search—to automate document processing and decision support for a mid-market professional services firm.
Lead a team building autonomous AI agents and LLM applications using frameworks like LangChain and LangGraph, integrating them with enterprise systems and optimizing performance for client projects.
Senior AI Engineer We’re looking for a Senior AI Engineer to help build the technical foundation for Patsnap’s next phase of AI transformation. You’ll design and develop the knowledge and context infrastructure that…
Build and deploy AI-powered systems like LLM apps and RAG pipelines for enterprise clients, integrating models into production while maintaining scalable data pipelines and MLOps workflows.
Build and maintain an enterprise-scale data platform that powers AI agents, knowledge bases, and RAG systems using Python, GCP, and vector databases.
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