Ai Engineer Jobs

Summary: Proven software engineering experience in SaaS with strong knowledge in Python is required. Familiarity with modern LLM applications and cloud-based ML workflows is also essential.

Skills: python, saas, llms, rag, cloud-based ml, azure ml, pinecone, langchain, fastapi, document processing, prototyping, software engineering, ai techniques, experimentation, scalability, performance

Summary: Seeking a Senior AI Engineer to build LLM systems for user interaction. Requires expertise in AI, prompt engineering, and software engineering principles. Key tech: LLMs, APIs, databases.

Skills: llms, api, databases

Summary: Candidates should have 5+ years of progressive AI/ML engineering experience and a proven track record of delivering scalable AI/ML solutions. A Bachelor’s or Master’s degree in a related technical fie

Skills: ai development, machine learning, collaboration, generative ai, mlops, biomedical ai, data privacy, cloud platforms, leadership, communication, innovation, ethical standards, context engineering, prompt engineering, knowledge graphs, agentic ai

Summary: Candidates should have over 4 years of fullstack software engineering experience and a passion for engineering and learning. Familiarity with modern web development practices and technologies such as

Skills: fullstack software engineering, ai fluency, web application development, python, fast api, typescript, node.js, supabase, aws

Summary: Candidates should have a deep understanding of software engineering with AI/ML or agentic system development. Experience with AWS, Node.js, PostgreSQL, and production-grade AI systems is essential.

Skills: ai engineering, distributed systems, aws, node.js, typescript, postgresql, clickhouse, llm orchestration, performance monitoring, data privacy, security, startup experience, mentoring, observability, real-time analytics, data pipelines

Summary: Candidates should have 3+ years of experience in building production software and possess a strong algorithms background. An empirical research mindset and interest in user-centered product developmen

Skills: applied ai, software engineering, python, c++, typescript, algorithms, empirical research, experiment design, data visualization, product development, user feedback, robust systems, api development, machine learning, collaboration, desktop applications

Summary: 5+ years of software engineering experience with 2+ years focused on AI systems is required. Deep expertise in LLM implementation and a strong track record of building production AI systems at scale a

Skills: ai systems, llm implementation, software engineering, document analysis, technical leadership, typescript, ai development, problem solving, ownership, continuous learning, startup environment, multi-agent ai systems, legal text processing, rag systems, ai frameworks, prototyping

Summary: 5+ years of software engineering experience, with 2+ years focused on AI systems is required. Deep expertise in LLM implementation and optimization, along with a strong foundation in TypeScript and mo

Skills: ai systems, llm implementation, software engineering, document analysis, technical leadership, typescript, ai development, problem solving, ownership, continuous learning, startup environment, multi-agent ai systems, legal text processing, rag systems, ai frameworks, prototyping

Summary: 8-10 years of professional software engineering experience, including technical leadership across squads or groups. Strong hands-on coding skills and familiarity with modern AI/ML tools and APIs.

Skills: ai engineering practices, devops, ci/cd, cloud infrastructure, node.js, kotlin, react, typescript, next.js, react native, ai/ml tools, code quality, system design, collaboration, mentorship, operational excellence

Summary: Candidates must have a minimum of a Bachelor's degree in a relevant field and at least 3 years of programming experience in Python. Familiarity with prompt engineering, context engineering, and natura

Skills: python, prompt engineering, context engineering, model context protocol, agent2agent protocol, natural language processing, machine learning, data science, software engineering, ai solutions, generative ai, automation tools, information retrieval, ai performance optimization, cross-functional collaboration, agentic ai systems

Summary: The role requires 8+ years in software, data, or platform engineering, with 5+ years of Python experience. Candidates should have experience with public cloud services and deploying AI-powered product

Skills: software engineering, data engineering, platform engineering, python, public cloud, ci/cd pipelines, ai-powered products, data pipelines, communication, typescript, healthcare experience, event-driven architectures, team growth

Summary: A bachelor's degree in a related field and 4 years of experience in machine learning or AI engineering are required. Proven experience in deploying production-grade AI chatbots and expertise in Python

Skills: python programming, machine learning, nlp, generative ai, chatbot development, conversational ai, large language models, vector databases, prompt engineering, model tuning, sql, data pipelines, ai analytics, voice ai, collaboration, communication

Summary: Bachelor's degree or higher in Computer science, Linguistics, or a related field is required. Solid coding proficiency in Python and professional experience in prompt design are essential.

Skills: python, dataset curation, prompt design, linguistics, natural language processing, machine learning, search patterns, problem-solving, attention to detail, collaboration, communication

Summary: Bachelor's degree or higher in Computer science, Linguistics, or a related field is required. Solid coding proficiency in Python and professional experience in prompt design are essential.

Skills: python, dataset curation, prompt design, linguistics, natural language processing, machine learning, search patterns, problem-solving, attention to detail, collaboration, communication

Summary: Bachelor's or Master's degree in a related field is required, with 5+ years of industry experience in AI and Machine Learning. Experience with LLMs, Generative AI, and advanced techniques is preferred

Skills: ai engineering, machine learning, deep learning, generative ai, prompt engineering, conversational ai, data analysis, python, sql, healthcare experience, voice ai, language models, predictive ai, behavior change, cross-functional collaboration, metabolic health

Summary: Advanced programming expertise in Python and SQL is required, along with deep experience in deploying machine learning models in production. A strong foundation in experimentation frameworks and ML Op

Skills: python, sql, machine learning, deep learning, model evaluation, ml ops, system design, collaboration, mentorship, technical leadership, experimentation, model optimization, ai systems, data science, engineering craftsmanship, feedback loops

Summary: Candidates should have 8+ years in software engineering or data science, with 3+ years in Gen AI or LLM-based systems. Strong programming skills and experience with cloud platforms are essential.

Skills: software engineering, data science, gen ai, llm-based systems, typescript, python, rest api development, containerization, cloud platforms, ai governance, model safety, prompt engineering, team leadership, collaboration, problem-solving

Summary: The position requires 3+ years of experience with large language models and strong skills in Python. A creative mindset and a passion for transforming education through AI are essential.

Skills: large language models, python, llmops, ai-driven tutoring, chatbots, content-generation systems, data structures, algorithms, software engineering, creative mindset, mission-driven

Summary: A bachelor's degree in a related field and 6+ years of experience in machine learning, NLP, and AI engineering are required. Proven hands-on experience in deploying production-grade AI chatbots in the

Skills: python programming, machine learning, nlp, ai engineering, data engineering, large language models, generative ai, chatbot development, prompt engineering, model tuning, api orchestration, sql, vector databases, conversational ai, document processing, ai-driven analytics

Summary: Candidates must have a bachelor's degree in a related field, with advanced degrees preferred, and significant experience in AI/ML. Preferred qualifications include experience in deploying machine lear

Skills: ai/ml platform strategy, technical architecture, collaboration, machine learning solutions, python programming, model productionization, cicd automation, nlp/nlg, generative ai, cloud platforms, technical communication, mentorship, architecture practices, data science collaboration, stakeholder communication, algorithm selection, model hyperparameter tuning

Summary: Candidates must have a bachelor's degree in a related field, with advanced degrees preferred. A minimum of 10 years of experience is required, or a master's degree with 7+ years, or a Ph.D. with 2+ ye

Skills: ai/ml platform strategy, technical architecture, collaboration, machine learning solutions, python programming, model productionization, cicd automation, nlp/nlg, generative ai, cloud platforms, technical communication, mentorship, architecture practices, data science collaboration, stakeholder engagement, algorithm selection, model hyperparameter tuning

Summary: Candidates should have proven experience in architecting and shipping end-to-end AI-powered solutions, with strong knowledge of generative AI and LLMs. Hands-on experience with AI platforms and the ab

Skills: ai solutions, generative ai, llms, rag pipelines, vector databases, agentic workflows, apis, model lifecycle management, prompt engineering, deployment, collaboration, problem-solving, communication, leadership

Summary: Experience with LLM evaluation and the development lifecycle of LLM features is required. Candidates should be comfortable working with Python and building APIs using frameworks such as FastAPI or Dja

Skills: ai engineering, machine learning, llm applications, python, api development, fastapi, django, google cloud, kubernetes, docker

Summary: Candidates should have an owner/builder mindset with at least 4 years of experience in backend/platform systems. They must be comfortable with ambiguity and have experience in data integration and clo

Skills: python, cloud infrastructure, data integration, backend systems, agent orchestration, graph databases, observability, reliability, multi-tenant systems, product development, agile methodologies, data privacy, event-driven architecture, fastapi, graphql, kubernetes

Summary: Requires a High School Diploma or equivalent and the student must be pursuing a Bachelor’s or advanced degree in an applicable discipline. Familiarity with AI concepts and strong communication skills

Skills: python, machine learning, generative ai, natural language processing, computer vision, simulation, xr/vr, data science, model development, experimentation, applied machine learning, mlops, devops, cloud platforms, communication skills, problem solving