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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 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.
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.
Forward Deployed Engineer IV - US Location: US-Work from Home Time Type: Full time Job Description Job Summary : As a Forward Deployed Engineer FDE) at Rackspace Technology, you will be embedded directly with our most…
Staff Software Engineer-JAVA Location: Lowell,MA,United States Department: Software & Product Development Work Location: hybrid Why UKG: At UKG, the work you do matters. The code you ship, the decisions you make,…
Line of Service Advisory Industry/Sector FS X-Sector Specialism Operations Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging…
Envision Employment Solutions is currently looking for a Senior Gen AI/Agentic AI Full Stack Lead for one of our partners, a leader in the Consulting & Technology Services ! Objective: We are seeking an experienced…
Senior AI Engineer Department: Engineering Location: San Francisco Compensation: $150K – $300K Employment Type: FullTime The Problem We're building an agentic AI caregiver advocate that lives in your text messages…
Artificial Intelligence and Machine Learning Engineer, Senior Location: Wahiawa, HI Time Type: Full time Job Description Artificial Intelligence and Machine Learning Engineer, Senior The Opportunity: Cyber and…
We are currently seeking a talented and experienced Software Engineer to join our team to help build foundational AI integration frameworks and agentic platforms. As a Software Engineer focused on AI Integration, you…
Production AI Engineer - Vice President Location: London United Kingdom Remote Type: Hybrid Time Type: Full time Job Description The Production Engineer is a pivotal role within Citi's Technology organisation,…
Senior Staff Generative AI Engineer – VP (IC, Hands-On) Location: London United Kingdom Time Type: Full time Job Description At Citi, we are pioneering the future of enterprise operations through innovative technology.…
Lead AI & Machine Learning Engineer ,Vice President Location: Pune Maharashtra India Time Type: Full time Job Description We’re currently looking for a high caliber professional to join our team as team as Vice…
Opportunity Get Well (GW RhythmX) is seeking a highly experienced and innovative Staff AI Engineer to lead the architecture, development, and optimization of cutting-edge AI solutions across the organization’s…
About Printerpix: Printerpix is a fast-growing e-commerce innovator, revolutionizing the online photo printing and personalized gifting sector. We believe in celebrating life's milestones and everyday joys, from…
Design and deploy multi-agent AI systems for logistics workflows, integrating LLMs with enterprise tools using frameworks like CrewAI and LangGraph.
Design and deploy AI/ML and GenAI features into smart-building products, while mentoring engineers to embed AI into the Controls Software team's workflows using Python, LLMs, and MLOps tooling.
Forward Deployed Engineer (AI) partners with business teams to design, build, and deploy AI solutions, improving productivity and automating processes across various functions. Core technologies include Large Language Models, AI agents, and cloud platforms.
Embeds with enterprise customers to design, build, and deploy AI solutions end-to-end, owning the full lifecycle from prototyping to production while bridging technical and business needs.
Senior engineer embedded with enterprise customers to design, build, and deploy AI solutions end-to-end, from rapid prototyping to production, using LLMs, RAG, and agentic workflows on Rackspace infrastructure.
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