Analyze testing requirements to develop comprehensive test scenarios for various test levels, drive quality improvement with a strong focus on test automation, and act as a Subject Matter Expert (SME) for designated modules.
Responsibilities
Analyze testing requirements to develop comprehensive test scenarios for various test levels
Design and create detailed test cases that validate conformance to functional and non-functional requirements
Prepare and manage essential test data, tools, and environments for test execution
Execute test cases and scripts, meticulously documenting results
Drive quality improvement with a strong focus on test automation, while also taking ownership of comprehensive validation activities that include manual testing
Data Scientist | Machine Learning | AI & Advanced Analytics | Data-Driven Decision Making. This role involves transforming complex data into actionable insights, building predictive models, and leveraging Machine Learning and Artificial Intelligence to solve real-world business challenges for U.S.-based organizations.
Responsibilities
Collect, clean, transform, and analyze structured and unstructured data from multiple sources.
Develop predictive models, machine learning algorithms, and statistical analyses to solve business problems.
Build, validate, and deploy machine learning models for production environments.
Analyze customer behavior, business performance, operational efficiency, and market trends.
Collaborate with Product, Engineering, Business Intelligence, Marketing, and Executive teams to translate business problems into analytical solutions.
Requirements
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a related field.
Master's degree in Data Science, Statistics, AI, Computer Science, or a related discipline (Preferred)
Nice to have: Generative AI
Nice to have: Large Language Models (LLMs)
Nice to have: Retrieval-Augmented Generation (RAG)
As the ML Engineer, you'll be responsible for ensuring LiteLLM unifies the format for calling LLM APIs in the broader OpenAI + Anthropic spec. This involves writing transformations to convert API requests from OpenAI/Anthropic spec to various LLM provider formats, building provider-agnostic unification functionality.
Compensation
Competitive salary, equity, health, dental, and vision benefits.
Responsibilities
System design for supporting provider level features at the gateway level
Thinking about the developer experience to support millions of users who leverage your work via LiteLLM's Python SDK
Building across LLM's, MCP's, and Agents by maintaining an excellent LLM interoperability layer
Lead a team of senior technical leaders responsible for the technical strategy, customer journey, and path to production value for a portfolio of OpenAI customers across Australia and New Zealand.
Responsibilities
Hire, coach, and develop a high-performing team of Applied AI Architects
Independently define and refine your team’s strategy, priorities, and operating model
Partner with Sales leadership and Account Directors to prioritise accounts and opportunities
Ensure Applied AI Architects serve as the primary technical advisors for their portfolios
Lead complex, multi-threaded customer journeys that connect executive vision and business outcomes with use-case qualification, solution evaluation, enterprise governance, and a credible path to production
MaxIT Consulting is looking for a Full Stack Engineer, Applied AI to join a venture-backed, early-stage AI company building an AI-native operating system for drug development programs, already used by leading biopharma companies.
Compensation
Apply through this same channel with your updated resume and your expected gross annual base salary in USD.
Responsibilities
Design and build backend services on Python, FastAPI and Postgres.
Build applied AI workflows with the OpenAI API, LangGraph, vector databases and search systems.
Develop ingestion, indexing and search pipelines for scientific and regulatory documents.
Build customer-facing features end to end, from data model and API to the React/TypeScript frontend.
Ground AI outputs in source data with traceable, verifiable citations.
Senior Software Engineer to build and scale AI-powered autonomous systems for PDQ’s cloud-native SaaS product.
Responsibilities
Build new features in Elixir and React with TypeScript while designing and operating agentic AI systems that perform multi-step reasoning, planning, and tool execution.
Work in a CI/CD environment, shipping code to production frequently following agile principles.
Collaborate with engineering teammates in the US and Romania on shared priorities.
Troubleshoot technical issues, from bugs to outages and customer support cases.
Research, prototype, and contribute to technical decisions.
Requirements
Bachelor's degree in Computer Science, a related degree, or equivalent experience
Lead AI architecture and project delivery across onshore/offshore teams, designing end-to-end AI applications, managing data pipelines, CI/CD, and cloud deployments.
Responsibilities
Design end-to-end AI applications and integrations
Lead cross-functional teams across onshore/offshore
Translate business objectives into technical requirements
Manage project planning, execution, and delivery
Ensure scalability, reliability, maintainability, and security
Full Stack QA Engineer / フルスタックQAエンジニアPayPay
ML EngineerLiteLLM · San Francisco, US
Manager, Applied AI ArchitectsOpenAI · Sydney, Australia
Full-Stack AI Engineer – Python, React/TypeScript & LLM Workflows (Bay Area)MaxIT Consulting - Max Corporate Group · Los Altos, US
Senior Software Engineer, ElixirPDQ · Remote, US
Go-To-Market EngineerAutomox · Remote, US
Director-GDC-TechnicalKPMG Global Services · Hyderabad, India