Generative AI Application Developer | Experienced Hire
at Susquehanna
Posted 17 days ago
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Join the central AI team as a Generative AI Application Developer building production-grade generative AI applications for business users. You will own full-stack solutions from data integration and NLP/LLM processing to user interfaces and dashboards, and implement RAG, agentic AI, and LLM integrations. The role involves deploying and monitoring applications with Docker, Kubernetes, CI/CD and enterprise schedulers, and requires strong software engineering, data pipeline, and DevOps skills. Candidates should have 8+ years of experience (Python or .NET/C#), familiarity with LLM APIs and frameworks, vector DBs and prompt engineering, and a focus on security and compliance.
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Full Job Description
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
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.
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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