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)
