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Overview At Atlassian, we’re on a mission to unleash the potential of every team. As part of that mission, we're investing deeply in Generative AI — pioneering advanced modeling and rapid innovations that…
Unpaid 12-week fellowship (30 hrs/week summer, 15 hrs/week in school year) owning the AI stack of a clinical documentation platform: self-hosting Whisper and Llama-3.1 on GPUs with vLLM, fine-tuning a SOAP-note generator and ICD-10/CPT coding model, and building the eval harness and pgvector retrieval layer.
Designs and deploys secure, production-grade AI agents and RAG services on the Google Cloud AI stack (Vertex AI, Gemini, ADK) — building Python/FastAPI backends, vector-search retrieval pipelines, prompt/tool-calling logic, and LLM evaluation and observability. Requires 6+ years in AI/ML/software with ~3 years in GenAI/LLM work.
Hands-on Generative AI engineer building production RAG pipelines and LLM-powered features for a healthcare SaaS clinical assistant. Day to day: experimenting with open-source and hosted LLMs, tuning retrieval/embeddings, running evaluation and hallucination checks, and deploying on AWS/GCP/Azure with Docker/Kubernetes.
Part-time (~20 hrs/week, remote) applied AI engineer at an early-stage startup, paid equity-only. You'd ship AI features into the company's and partners' products using LLM APIs (OpenAI, Anthropic, AWS Bedrock), RAG pipelines, and Python/Django services.
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the…
Full-Stack AI Engineer Position Type: Full-Time, Remote Working Hours: U.S. Business Hours Location: Remote (LATAM, Eastern Europe, Pakistan, India, South Africa Preferred) About the Role At Pavago, one of our clients…
Full-Stack AI Engineer (LLMs, AI Products & Full-Stack Development) Position Type: Full-Time, Remote Working Hours: U.S. Business Hours About the Role At Pavago, one of our clients is hiring a Full-Stack AI…
We are seeking a skilled Senior Python Engineer to design, develop, and deploy AI and ML driven solutions that enhance business capabilities, automate processes, and improve customer and employee experiences. The ideal…
∙ Design, develop, and maintain Generative AI applications using Python and modern AI frameworks. ∙ Develop AI-powered enterprise solutions leveraging Large Language Models (LLMs), including OpenAI, Azure OpenAI,…
About the Role: As a Staff Software Engineer on the ML Infrastructure team, you will collaborate closely with the Machine Learning and Product teams to build world-class machine learning inference platforms. These…
Builds and maintains low-latency ML inference platforms (personalized recommendations, search, content understanding) using distributed systems, Scala, and cloud infrastructure.
Présentation de l'équipe L'équipe Applied AI Forward Deployed Engineering (FDE) de ServiceNow est l'endroit où les idées audacieuses se transforment en actions concrètes. Nous collaborons avec nos clients…
Senior engineer on Docusign's Digital Technology Services team designing, building, and operating production AI systems — LLM/RAG applications, agentic frameworks (LangGraph, CrewAI), custom middleware, and enterprise integrations — primarily in Python on AWS. Hands-on, hybrid role based in San Francisco (minimum 2 days/week in office).
Senior GenAI/AI-ML engineer at Agilisium designing and deploying production-grade Generative AI solutions: LLM-based applications, RAG pipelines, and AI agents using Python, LangChain/LangGraph, FastAPI, vector databases, and cloud AI/ML services. Role is for an in-person walk-in drive in Chennai; 4-10 years experience.
Looking for an opportunity to make an impact? At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success. We empower our teams,…
Builds and deploys generative AI solutions for enterprise applications — LLM apps, RAG pipelines, trained ML models, and AI-powered APIs — in a hybrid role based in Toronto. Core stack is Python ML (TensorFlow/PyTorch) on AWS services like Bedrock, SageMaker, Lambda, and ECS/EKS.
Lead AI Engineer I Job requirements Experience Range: With at least 4 to 6 years of experience in ML engineering, including hands-on work with cloud-native architectures, agentic AI frameworks, and scalable full-stack…
Analyst Job requirements Experience Range: With at least 2 to 4 years of experience in full-stack data science, including practical exposure to cloud-native architectures and agentic AI frameworks Key Responsibilities:…
Early-career AI Engineer in Shanghai building LLM-powered agents, RAG pipelines, and end-to-end agentic AI platforms at Altera, with exposure to hardware-aware optimization alongside FPGA/ASIC teams. Core stack is Python (C++ a plus) plus LLM/agent tooling and vector databases.
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