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We are seeking a curious, collaborative, and proactive professional who is passionate about Generative AI to join our newly formed central AI team. As a Generative AI Developer, you will build innovative generative AI applications for business users. This role blends full-stack development with cutting-edge AI methods, delivering impactful solutions from data integration to user interfaces.
Job Responsibility:
Collaborate with stakeholders to identify AI use cases and integrate solutions into workflows
Develop data pipelines for structured and unstructured data to support AI workflows
Process unstructured data using NLP and LLM techniques
Implement and optimize Retrieval-Augmented Generation (RAG), agentic AI applications, and LLM integrations
Build intuitive user interfaces for web and desktop platforms
Create dashboards to visualize AI insights and model performance
Deploy and monitor AI applications using Docker, Kubernetes, VMs, and enterprise schedulers
Maintain and support AI applications for reliability and performance
Ensure compliance with security and ethical standards in AI development
Requirements:
8+ years of experience with Python or .NET/C#, building production-grade applications and data pipelines
Proficiency with SQL/NoSQL databases and data integration
Familiarity with OOP, DevOps, CI/CD, Docker/Kubernetes, automated testing, and debugging
Experience with LLM APIs (OpenAI, Azure, Gemini, Claude) and frameworks (LangChain, LlamaIndex, MCP)
Understanding of RAG, vector databases, embeddings, and inference techniques
Knowledge of prompt engineering techniques (prompt chaining, chain-of-thought, multi-shot)
Proficiency with developer tools like GitHub Copilot, Cursor AI, Windsurf
Bachelor’s degree in Computer Science or related field
Strong communicator and team collaborator
Quick learner, adaptable to new technologies
Results-driven with a focus on high-quality solutions
Committed to mentorship and team development
High integrity and conscientious about compliance and security
Nice to have:
.NET development (C#)
Familiarity with open-source AI platforms (Hugging Face, Ollama)
Basic understanding of AI/ML Ops and model hosting
Experience with Gen AI evaluation and prompt tuning
Cloud platform experience (Azure, GCP, AWS)
Frontend development for web and desktop UI/UX
Understanding of secure authentication (SSO, LDAP) and data handling
Financial knowledge or willingness to learn finance basics
Basic knowledge of traditional AI, ML, neural networks, and NLP
Training in Generative AI is advantageous but not essential