Job DescriptionRole SummaryWe are looking for a
Generative AI Developer who can build
end-to-end, production-grade applications using Generative AI. The ideal candidate is a
strong technologist with experience across
web applications, data analysis, and automation, and who understands that GenAI development is as much about
language, data, and business context as it is about code.
This role focuses on building solutions using
internal / private LLMs, emphasizing
security, reliability, and enterprise integration over public API experimentation.
Key ResponsibilitiesGenerative AI & Prompt Engineering
- Design, develop, and optimize applications leveraging internal LLM platforms
- Create, test, and maintain high-quality prompts to drive accurate and predictable outputs
- Apply advanced prompting techniques including:
- Few-shot prompting
- Prompt chaining
- RAG (Retrieval-Augmented Generation)
- Establish prompt evaluation and versioning practices
End-to-End Application Development
- Build full-stack, end-to-end GenAI applications
- Design and implement backend services integrating LLMs with enterprise systems
- Develop or collaborate on web-based user interfaces
- Integrate GenAI capabilities into existing applications and workflows
Web & Technology Stack
- Work with modern web technologies, such as:
- REST APIs
- Web frameworks (React, Angular, Vue, or equivalent)
- Backend services (Node.js, Java, Python, .NET, etc.)
- Understand client-server architecture and web security fundamentals
- Build scalable, maintainable application architectures
Data, Analysis & Automation
- Analyze structured and unstructured data for GenAI use cases
- Translate business requirements into LLM-driven workflows
- Perform data validation, transformation, and analysis to support AI pipelines
- Collaborate with automation teams; experience with Blue Prism is a plus
Enterprise & Governance
- Build solutions aligned with enterprise security, compliance, and governance standards
- Work with private/internal LLMs, ensuring data privacy and controlled usage
- Document design decisions, prompts, and system behavior clearly
Required Skills & QualificationsCore Requirements
- 2-3 years experience building GenAI / LLM-based applications
- 1-3 years hands-on experience with prompt engineering
- Strong written English skills (critical for prompt design and documentation)
- Data analysis or business analysis experience (2-3 years)
- Ability to code in at least one modern programming language (language-agnostic mindset)
- Experience building end-to-end applications, not just models or scripts
Technical Skills
- Experience with:
- Internal / private LLM platforms
- RAG architectures and vector search
- APIs and service-oriented architecture
- Solid understanding of:
- LLM limitations (hallucinations, bias, drift)
- Evaluation and validation of model outputs
- Cost, latency, and performance trade-offs
Preferred / Nice-to-Have Skills- Blue Prism RPA experience
- Experience with enterprise web applications
- Familiarity with LLMOps / MLOps concepts
- Knowledge of document-heavy domains (contracts, agreements, reports)
- Experience working in regulated or enterprise environments
Mindset & Attributes- Strong analytical and problem-solving skills
- Comfortable working across language, data, and code
- Business-focused with an outcome-driven mindset
- Able to explain GenAI behavior to technical and non-technical audiences
Why Join Us- Build real, production-grade GenAI applications
- Work with secure, internal LLM platforms
- Influence how GenAI is adopted responsibly at scale
- Be part of an end-to-end engineering team, not a siloed AI lab
