Senior Python Engineer

Deliver features aligned with customer success.

Generate clean, efficient, and well-documented software.

Prototype and deploy AI features.

Reduce friction and personalize interactions.

Design thermal control assemblies for Raptor engine.

Maintain component temperatures across a wide range of fluids.

Direct technical work for engineers.

Lead a culture of collaboration and innovation.

Provide customer support for payment issues.

Collaborate with payment providers and internal teams.

Define the identity security roadmap.

Collaborate with multiple departments for feature launches.

Lead mobile development teams and ensure successful delivery.

Champion best coding practices and methodologies.

Provide multi-channel customer support.

Maintain high standards and efficiency.

Lead the pricing strategy for healthcare portfolios.

Utilize financial modeling for pricing decisions.

Engage in collaborative software development with AI insights.

Own and manage end-to-end software features.

Deliver analytics solutions at scale.

Manage data access and presentation.

Support client projects with research and deliverables.

Develop media lists and assist in pitching.

Engage qualified leads by phone.

Convert leads using closing techniques.

Deliver features in collaboration with Product Managers and Designers.

Support both frontend and backend development.

Manage CMS EDGE server operations.

Oversee data submissions and compliance.

Provide luxury travel booking services to clients.

Research and manage travel itineraries.

Lead HV/EHV substation projects.

Collaborate with global engineering teams.

Implement legal and compliance procedures for research.

Monitor and review research outputs.

Design evaluation frameworks for AI output quality.

Improve production prompts through iterative experiments.

Value prospective deals for acquisitions.

Estimate market values to guide decisions.

Own and manage the Framer site.

Produce polished and production-ready code.

Own the vision and roadmap for CSM applications.

Translate business needs into clear user stories.

Enhance collaboration with product teams.

Optimize application performance.

Build and ship core product experiences.

Develop production-quality code across tech stacks.

Develop cloud data processing solutions.

Collaborate with teams on Microsoft technologies.

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