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:

● Robust 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

📌 Senior GenAI Engineer (Bengaluru)
🏢 Corridor Platforms
📍 Bengaluru