Senior GenAI Engineer
About Corridor Platforms:
Corridor Platforms is a leader in next-generation risk decisioning and responsible AI governance. We enable banks, lenders, and regulated industries to build transparent, compliant, and data-driven solutions. Our platforms combine advanced analytics, real-time data integration, and Generative AI to support complex decision workflows with trust, scalability, and efficiency.
Key Responsibilities:
● Design, develop, and deploy large language model (LLM) pipelines, incorporating foundational models, retrieval-augmented generation (RAG), memory and caching mechanisms, and external API integrations.
● Implement generative AI solutions tailored to the needs of regulated industries such as financial services and healthcare.
● Apply advanced natural language processing (NLP) techniques and frameworks to address complex language understanding and generation challenges.
● Deploy, manage, and scale AI solutions on cloud platforms (AWS, Azure, GCP).
● Conduct risk assessments for GenAI pipelines, addressing:
○ Data privacy and security concerns
○ Bias and fairness in model outputs
○ Hallucination and factual accuracy issues
○ Prompt injection vulnerabilities and toxicity
○ Model drift and long-term performance degradation
● Develop safeguards, monitoring systems, and compliance frameworks to ensure responsible and regulatory-aligned AI deployment.
● Collaborate with cross-functional teams, including product, compliance, engineering, and data science, to deliver business-ready AI solutions.
Required Technical Skills:
● Proven expertise in developing and deploying large language models (LLMs) and generative AI solutions.
● Proficiency in Python and widely adopted AI/ML libraries, including Hugging Face Transformers, LangChain, CrewAI, Sklearn, Plotly, TRL, FastAPI
● Experience with agent development platforms and SDKs, such as:
○ OpenAI Agent SDK
○ Google Agent SDK
○ Dialogflow, VAPI, Salesforce AgentForce, Microsoft Copilot
Soft Skills:
● Strong problem-solving and analytical thinking abilities.
● Excellent communication skills for articulating AI concepts to diverse stakeholders.
● Ability to collaborate effectively across cross-functional teams. ● Adaptability to rapidly evolving AI technologies and industry standards.
Domain Knowledge – Healthcare is Preferred:
● Understanding of healthcare and life sciences regulatory frameworks (HIPAA, GDPR).
● Awareness of generative AI use cases in healthcare, including:
○ Patient engagement and virtual assistants
○ Medical documentation assistance
○ Scheduling and operational automation