AI Agent Engineer Role

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

Develop intelligent multi-agent AI systems

Leverage LLMs and RAG for advanced NLP tasks

Join our team as a remote AI Engineer, leveraging your expertise in Python, Django, REST APIs, and LangChain to build advanced AI solutions.

You will design, develop, and deploy AI models and features while collaborating with diverse teams in a fast-paced environment.

Develop and optimize large language models for business impact.

Integrate LLM-powered features into sports betting products.

Lead and deliver GenAI projects for clients

Architect scalable, secure AI applications

Deliver customer-focused LLM and ML solutions

Productionize and optimize ML pipelines on cloud

Build and package a Teams app

Integrate existing backend with Teams

Build and deploy AI-powered productivity tools

Collaborate with cross-functional teams

Guide clients through cloud migration and modernization

Lead technical design and implementation of cloud solutions

Develop scalable AI microservices for revenue intelligence

Implement and optimize LLM-based retrieval and summarization features

Build and deploy agentic AI systems for real estate data management.

Leverage LLMs and retrieval-augmented frameworks to enhance data workflows.

Develop LLM-powered agents for contact center solutions

Implement and optimize AI features for enterprise applications

Integrate LLMs and intelligent agents into SaaS products

Design and implement scalable, production-ready AI solutions

Design and maintain scalable backend systems

Build and optimize AI-driven analytics frameworks

Lead end-to-end machine learning projects

Develop advanced predictive and generative AI models

Develop scalable, robust AI-driven data pipelines

Automate data cleansing, enrichment, and transformation using LLMs

Develop scalable backend APIs and AI agents

Implement advanced AI-native workflows