Generative AI Application Developer | Experienced Hire

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.