Generative AI Application Developer | Experienced Hire

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.

Required Experience:

• 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.

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 is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.

If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

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