Job Description
Role Summary
We are looking for aGenerative 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 usinginternal / private LLMs, emphasizing security, reliability, and enterprise integration over public API experimentation.
Key Responsibilities
Generative AI & Prompt Engineering
- Design, develop, and optimize applications leveraginginternal LLM platforms
- Create, test, and maintainhigh-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
- Buildfull-stack, end-to-end GenAI applications
- Design and implement backend services integrating LLMs with enterprise systems
- Develop or collaborate onweb-based user interfaces
- Integrate GenAI capabilities into existing applications and workflows
Web & Technology Stack
- Work with modernweb 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 intoLLM-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 withenterprise 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 & Qualifications
Core Requirements
- 2–3 years experiencebuilding GenAI / LLM-based applications
- 1–3 years hands-on experiencewith prompt engineering
- Strongwritten English skills (critical for prompt design and documentation)
- Data analysis or business analysis experience(2–3 years)
- Ability to code inat least one modern programming language (language-agnostic mindset)
- Experience buildingend-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 withenterprise web applications
- Familiarity withLLMOps / MLOps concepts
- Knowledge ofdocument-heavy domains (contracts, agreements, reports)
- Experience working inregulated or enterprise environments
Mindset & Attributes
- Strong analytical and problem-solving skills
- Comfortable working acrosslanguage, data, and code
- Business-focused with an outcome-driven mindset
- Able to explain GenAI behavior to technical and non-technical audiences
Why Join Us
- Buildreal, production-grade GenAI applications
- Work withsecure, 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
Applications will be accepted on an ongoing basis until the position is filled.
