Overview
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.
Key Responsibilities:
- 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.
What we’re looking for
equired Experience:
- 3+ years of Python experience in 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.
Preferred (Not Required) Experience:
- .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.
Qualifications:
- Bachelor’s degree in Computer Science or related field.
- Training in Generative AI is advantageous but not essential.
Candidate Profile:
- 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.
Susquehanna does not accept unsolicited resumes from recruiters or search firms. Any resume or referral submitted in the absence of a signed agreement will become the property of Susquehanna and no fee will be paid.
