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Key job responsibilities
- Design and implement frameworks and solutions that enable seamless integration of GenAI technologies into existing products and development workflows enhancing productivity- Establish best practices and guidelines for GenAI development and usage across the organization
- Develop reference architectures and technical guidelines for GenAI feature integration
- Drive adoption of GenAI solutions through technical demonstrations, workshops, and documentation- Evaluate and optimize the performance, security, and cost-effectiveness of GenAI-powered solutions
- Professional software development experience with focusing on AI/ML technologies
- Design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience with programming with at least one software programming language
- Experience with GenAI platforms and services (e.g., Anthropic, Bedrock, OpenAI) Experience with Prompt Engineering and AI Agents
- Experience with LLM/SLM frameworks (e.g., LangChain, LlamaIndex)
- Excellent communication skills with ability to explain complex technical concepts
- Experience with building and maintaining scalable MLOps pipelines
- Years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree or Master's degree in Computer Science, Engineering, Mathematics or equivalent
- Experience with Data Engineering pipelines, including Vector Databases (e.g., OpenSearch, PGVector)
- Contributions to open-source AI projects
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About you:
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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Key job responsibilities
As an SDE II, you’ll contribute to your team’s software, delivering features that span its life cycle. This includes working with your team to design solutions that enhance existing features and enable new ones. You’ll exercise autonomy and make trade-offs between feature development and operational work.You’ll also document your team’s software, including how it’s constructed, tested, operated, and secured, and how it fits into the bigger picture. You’ll train team members on these points and work alongside customers, stakeholders, and peers to ensure your solutions deliver real value.We’re committed to developing our people, and as an SDE II, you’ll mentor and guide others. You’ll also play a role in recruiting and interviewing for your team.
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
These jobs might be a good fit

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Key job responsibilities
As an SDE II, you’ll contribute to your team’s software, delivering features that span its life cycle. This includes working with your team to design solutions that enhance existing features and enable new ones. You’ll exercise autonomy and make trade-offs between feature development and operational work.You’ll also document your team’s software, including how it’s constructed, tested, operated, and secured, and how it fits into the bigger picture. You’ll train team members on these points and work alongside customers, stakeholders, and peers to ensure your solutions deliver real value.We’re committed to developing our people, and as an SDE II, you’ll mentor and guide others. You’ll also play a role in recruiting and interviewing for your team.
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
These jobs might be a good fit

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You will learn all about how to design, implement and test highly scalable solutions using AWS cloud platform and its many products, in challenging agile projects, working with best in class professionals.
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
These jobs might be a good fit

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You will learn all about how to design, implement and test highly scalable solutions using AWS cloud platform and its many products, in challenging agile projects, working with best in class professionals.
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.Key job responsibilities
As an experienced technology professional, you will be responsible for:1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsAbout the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
8+ years of experience in cloud architecture and implementation.Bachelor’s degree in computer science, engineering, or related field.1+ year experience working with technologies related to large language models including LLM architectures, model evaluation, adapters, model customization including pre-training and fine-tuning techniques.7+ years professional experience in software development in languages related to ML like Python or Java. Experience working with RESTful API and general service-oriented architecture as well as to machine learning, deep learning, NLP, CV, GNN, or distributed training.10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.
AWS experience preferred, with proficiency in a wide range of AWS services (e.g.; EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)AWS Professional level certifications (e.g., Solutions Architect, DevOps Engineer Professional) preferredExperience with automation and scripting (e.g.,Terraform, Pyhton)Knowledge of security and compliance standards (e.g., HIPAA, GDPR)Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiencesPhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field.Spanish B2+ is a plus
These jobs might be a good fit

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Key job responsibilities
- Design and implement frameworks and solutions that enable seamless integration of GenAI technologies into existing products and development workflows enhancing productivity- Establish best practices and guidelines for GenAI development and usage across the organization
- Develop reference architectures and technical guidelines for GenAI feature integration
- Drive adoption of GenAI solutions through technical demonstrations, workshops, and documentation- Evaluate and optimize the performance, security, and cost-effectiveness of GenAI-powered solutions
- Professional software development experience with focusing on AI/ML technologies
- Design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience with programming with at least one software programming language
- Experience with GenAI platforms and services (e.g., Anthropic, Bedrock, OpenAI) Experience with Prompt Engineering and AI Agents
- Experience with LLM/SLM frameworks (e.g., LangChain, LlamaIndex)
- Excellent communication skills with ability to explain complex technical concepts
- Experience with building and maintaining scalable MLOps pipelines
- Years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree or Master's degree in Computer Science, Engineering, Mathematics or equivalent
- Experience with Data Engineering pipelines, including Vector Databases (e.g., OpenSearch, PGVector)
- Contributions to open-source AI projects
These jobs might be a good fit