Opens LinkedIn
- Employment type
- Contract
- Experience level
- Lead · 10+ years
- Minimum education
- Bachelor’s degree
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
Job summary
Automate 64 software development lifecycle use cases using prompt automation and a knowledge repository, and integrate AI models with backend resources across AWS environments. Build scalable REST APIs and manage complex JSON payloads to support frontend-to-backend communication.
Job details
Summary We are seeking a highly skilled Gen AI Developer with extensive experience in application development and a strong background in leading cross-functional programs within regulated enterprises. The ideal candidate will have hands-on experience with Generative AI and LLM solutions, as well as a solid understanding of the software development lifecycle (SDLC) and developer tooling. Responsibilities: Automate 64 SDLC use cases by implementing prompt automation and utilizing a knowledge repository. Integrate cloud services by implementing and managing AI models alongside traditional backend resources across AWS environments. robust APIs by constructing scalable REST APIs and managing complex JSON payloads for seamless frontend-to-backend communication. Mandatory Skills: 10+ years of application development experience. 3+ years of experience leading cross-functional programs in a banking or regulated enterprise. 2+ years of experience working with Generative AI or LLM solutions in production, including prompt engineering, RAG, guardrails, and evaluation. in SDLC and developer tools such as Git, GitHub, CI/CD, IntelliJ or VS Code, Jira, and Confluence. Experience defining KPI frameworks and working with Power BI (DAX, data models, row-level security) or a comparable BI platform. Strong executive communication skills, including the ability to create steering decks, value narratives, and status reports for senior stakeholders. Working knowledge of enterprise governance, including architecture review, change management, Responsible AI, and data privacy. Experience with Kore.ai. Preferred Skills: Experience with AWS application development. Qualifications: degree in computer science, engineering, or a related field, or equivalent experience.
What you’ll do
Automate 64 software development lifecycle use cases using prompt automation and a knowledge repository, and integrate AI models with backend resources across AWS environments. Build scalable REST APIs and manage complex JSON payloads to support frontend-to-backend communication.
Requirements
Requires 10+ years of application development experience, 3+ years leading cross-functional programs in banking or another regulated enterprise, and 2+ years delivering production Generative AI or LLM solutions. Candidates should also have SDLC and developer-tooling knowledge, KPI and BI experience, executive communication skills, enterprise governance knowledge, and experience with Kore.ai; a relevant degree or equivalent experience is required.
Listed skills
- prompt engineering · Preferred
- Amazon Web Services · Preferred
- REST APIs · Preferred
- Git · Preferred
- CI/CD · Preferred
- Power BI · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Application Development
- Generative AI
- Large Language Models
- Prompt Engineering
- Retrieval-Augmented Generation
- AI Guardrails
- AI Evaluation
- AWS
- REST APIs
- JSON
- Software Development Lifecycle
- Git
- CI/CD
- KPI Frameworks
- Power BI
- Kore.ai
Job areas
- Technology
- Software
- Management & Leadership
- Data & Analytics
- Consulting
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