Job Description

Position : 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

Education & Experience

Masters degree in Computer Science, Data Science, or a related field.
Minimum 5 years of experience in developing and deploying AI/ML solutions.
At least 3 years of recent, hands-on experience in NLP and generative AI projects.
Proven track record of delivering successful AI initiatives in regulated industries, preferably financial services or healthcare.

(ref:hirist.tech)

Corridor Platforms - Senior Generative AI Engineer - LLM