11 часов назад
Generative AI Developer (AWS/Python)
108 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Generative AI Developer (AWS/Python): Building production-ready generative AI applications and backend services for enterprise financial services with an accent on Python development, AWS cloud services, LLM integration, and API design. Focus on integrating AI models with enterprise data, applying prompt engineering and RAG techniques, and solving security, scalability, testing, and reliability challenges across the SDLC.
Location: Hybrid in Lafayette, Louisiana; Knoxville, Tennessee; Columbia, South Carolina; or Birmingham, Alabama, with 3 days onsite and 2 days remote.
Salary: $108,600 annually.
Company
delivers outsourced services and workforce solutions across North America for clients in multiple industries, including financial services.
What you will do
- Develop and enhance generative AI applications and services using Python and AWS.
- Integrate LLMs and generative AI capabilities into enterprise applications, APIs, databases, and cloud services.
- Build REST APIs and backend services connecting AI models with supporting data sources.
- Apply prompt engineering, LLM APIs, and RAG techniques to business use cases.
- Participate across the SDLC, including requirements analysis, development, unit testing, troubleshooting, defect resolution, and implementation support.
- Collaborate with developers, QA teams, business analysts, and technical stakeholders while following enterprise security and deployment standards.
Requirements
- At least 5 years of hands-on Python development experience with enterprise applications or services.
- Hands-on experience developing generative AI applications and working with LLMs, LLM APIs, and prompt engineering.
- Experience developing and deploying applications in AWS cloud environments, including AWS AI/ML or application services.
- Strong experience with REST APIs, backend services, application integrations, databases, and enterprise data sources.
- Experience with unit testing, debugging, Git, CI/CD pipelines, secure development, and modern SDLC practices.
- Bachelor's degree in computer science, information systems, software engineering, data science, artificial intelligence, or a related technical field.
Nice to have
- Experience with Retrieval Augmented Generation, vector search, embeddings, or vector databases.
- Exposure to Amazon Bedrock.
- AWS, cloud, AI, or machine learning certifications.
- Experience in financial services, mortgage, or banking.
Culture & Benefits
- Permanent direct-hire employment.
- Health and welfare benefits may include medical, dental, vision, spending accounts, life insurance, and voluntary plans.
- Eligible employees may participate in a 401(k) plan.
- Work in a large-scale enterprise financial services environment focused on security, scalability, reliability, and software quality.
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