Senior AI Engineer - Public Sector

Propose and execute applied research initiatives impacting Conversational AI

Utilize Transformer architecture for effective prompting and orchestration

Propose and execute research initiatives for Conversational AI with LLMs

Analyze conversational datasets and implement research-inspired strategies

Developing AI solutions for strategic customers in the Energy Industry

Prototyping and demonstrating ROI of AI deployments

Translate AI needs into solutions

Prototype AI solutions with partners

Execute research initiatives for Conversational AI.

Analyze and optimize conversational datasets.

Execute research initiatives impacting Conversational AI.

Analyze conversational datasets for optimization.

Partnering with People AI product lead

Shape use cases and run experiments

Design AI automation pipelines

Build OCR-based data extraction for invoices and unstructured docs

Develop scalable AI solutions

Contribute to AI roadmap

Develop GenAI solutions using Mosaic AI Research.

Own production rollouts of GenAI apps.

Developing GenAI solutions using Mosaic AI Research

Owning production rollouts of GenAI apps

Lead design and sales of AI solutions on AWS

Engage C-level executives with AI demos

Define AI/ML roadmap with cross-functional leaders

Lead AI/ML org and end-to-end product delivery

Secure Autonomous Agent Development

Threat Modeling and Analysis

Drive technical success post-sale

Implement and scale ML pipelines and GenAI workflows

Developing AI-driven code for internal applications

Collaborating with different departments for AI solution design

Lead AI-powered healthcare product development and delivery

Bridge various stakeholders (clinicians, engineers, business)

Design and productionize AI agents

Advise customers on architecture and best practices

Identify AI opportunities and challenges for use cases

Apply GenAI techniques and build AI agents, copilots, and workflows

Develop GenAI solutions using various AI tools and technologies.

Own and manage production rollouts of GenAI apps for customers.

Build AI-native product features using TypeScript

Design and implement LLM-powered workflows for healthcare

Provide technical leadership to development teams

Translate business and technical requirements into impactful applications

Develop cutting-edge GenAI solutions

Own production rollouts of GenAI applications

Building advanced AI systems powered by LLMs and intelligent agents

Developing scalable backend systems

Seeking experienced Google Cloud Software Engineers

Working closely with clients to develop technical solutions

Lead development teams and translate business requirements effectively

Provide technical leadership and guidance to achieve project success

Develop cutting-edge GenAI solutions

Own production rollouts of GenAI applications

Develop intelligent, agentic AI systems using cutting-edge technologies

Collaborate with AI leads, backend engineers, data engineers, and product managers

Seeking experienced Cloud Engineer with Google Cloud expertise

Responsibilities include understanding client requirements, developing technical designs, and leading implementation projects

Lead AI-driven developer productivity solutions.

Transform engineering practices with AI tooling.

Build and productionize advanced AI systems

Develop scalable LLM-powered applications and agents

Accelerate client cloud transformation

Provide technical leadership and guidance

Build and deploy scalable AI systems for production use.

Develop advanced multi-agent architectures and conversational AI.

Lead cross-functional AI engineering team

Architect and deploy internal AI solutions

Build and deploy advanced GenAI solutions

Advise customers on AI application strategies

Build and productionize advanced AI systems using LLMs and agents.

Develop scalable platforms and backend infrastructure for AI-powered applications.

Accelerate client cloud migrations

Provide strategic technical guidance

Build and deploy scalable, production-ready LLM-powered AI systems

Develop intelligent agents and multi-agent architectures for workflow automation

Develop LLM-powered agents for contact centers

Enhance customer engagement through actionable AI insights

Lead and mentor AI engineering team

Develop and deploy AI productivity solutions

Develop innovative GenAI applications

Deploy and optimize production-grade ML solutions

Develop and deploy advanced GenAI applications

Advise customers on AI solutions and best practices

Build scalable, production-grade LLM and agentic AI systems

Automate and optimize sales and marketing workflows using AI

Lead backend development for AI-powered 3D product experiences

Optimize LLM orchestration pipelines for low-latency, high-throughput response

Accelerate client cloud adoption

Deliver scalable cloud solutions

Support and track project progress

Coordinate internal and external communications

Develop and deploy LLM-powered agents

Enhance customer engagement with AI solutions

Build and productionize advanced AI systems using LLMs and agents

Enhance user productivity through AI-powered automation and personalization

Lead and mentor an AI engineering team

Architect and deploy AI-driven productivity solutions

Develop and deploy advanced GenAI solutions for customers

Lead production rollout of AI applications