GTM Engineer Role

Drive AI programs across internal and customer domains.

Partner with AI Engineering for scalable programs.

Rapid prototyping and deployment of AI features

Building scalable applications using modern cloud stacks

Automate risk workflows using Go and AI tools.

Prototype and turn experiments into production.

Design a structured and configurable evaluation engine with precision

Combine deterministic checks with LLM-as-judge verdicts

Define and lead ISV ecosystem strategy

Expand AWS co-sell partnerships with key players

Architect a demand-generation engine.

Lead multi-channel marketing campaigns.

Own and refine product positioning and messaging.

Translate product capabilities into value propositions.

Own the marketing strategy for edX.

Drive traffic and learner acquisition.

Hire a remote Growth Manager.

Utilize mobile technology for health improvement.

Building advanced AI systems powered by LLMs and intelligent agents

Developing scalable backend systems

Build and productionize advanced AI systems

Develop scalable LLM-powered applications and agents

Build and deploy scalable AI systems for production use.

Develop advanced multi-agent architectures and conversational AI.

Lead AI agency for high-impact solutions

Improve engineering practices with AI applications

Lead development of advanced AI features

Manage and mentor engineering teams

Lead and mentor AI engineering team

Develop and deploy AI productivity solutions

Lead and mentor an AI engineering team

Architect and deploy AI-driven productivity solutions

Build and deploy AI-powered productivity tools

Collaborate with cross-functional teams

Develop LLM-powered agents for contact centers

Enhance customer engagement through actionable AI insights

Develop and deploy LLM-powered agents

Enhance customer engagement with AI solutions

Provide technical leadership to development teams

Translate business and technical requirements into impactful applications

Lead development teams and translate business requirements effectively

Provide technical leadership and guidance to achieve project success

Lead and deliver GenAI projects for clients

Architect scalable, secure AI applications

Develop and optimize large language models for business impact.

Integrate LLM-powered features into sports betting products.

Seeking experienced Software Engineers with Google Cloud expertise

Developing technical design solutions and leading implementation teams

Seeking experienced Cloud Engineer with Google Cloud expertise

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

Accelerate client cloud migrations

Provide strategic technical guidance

Develop Large Language Model solutions on customer data

Build, scale, and optimize customer data science workloads

Develop scalable, robust AI-driven data pipelines

Automate data cleansing, enrichment, and transformation using LLMs

Build scalable AI agents for legal solutions

Implement Retrieval-Augmented Generation pipelines

Design and maintain scalable backend systems

Build and optimize AI-driven analytics frameworks

Integrate LLMs and intelligent agents into SaaS products

Design and implement scalable, production-ready AI solutions

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

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

Develop scalable AI microservices for revenue intelligence

Implement and optimize LLM-based retrieval and summarization features

Build and package a Teams app

Integrate existing backend with Teams

Deliver customer-focused LLM and ML solutions

Productionize and optimize ML pipelines on cloud

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 intelligent multi-agent AI systems

Leverage LLMs and RAG for advanced NLP tasks

Develop and deploy advanced GenAI solutions for customers

Lead production rollout of AI applications

Support and track project progress

Coordinate internal and external communications

Lead backend development for AI-powered 3D product experiences

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

Develop and deploy advanced GenAI applications

Advise customers on AI solutions and best practices

Develop intelligent, agentic AI systems using cutting-edge technologies

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

Develop cutting-edge GenAI solutions

Own production rollouts of GenAI applications

Build AI-native product features using TypeScript

Design and implement LLM-powered workflows for healthcare

Design and productionize AI agents

Advise customers on architecture and best practices

Developing AI-driven code for internal applications

Collaborating with different departments for AI solution design

Drive technical success post-sale

Implement and scale ML pipelines and GenAI workflows

Secure Autonomous Agent Development

Threat Modeling and Analysis

Lead design and sales of AI solutions on AWS

Engage C-level executives with AI demos

Design AI automation pipelines

Build OCR-based data extraction for invoices and unstructured docs