Job Description: GenAI Engineer

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:

● Master’s 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.

Pay: ₹3,000,000.00 - ₹4,500,000.00 per year

Benefits:

- Versatile schedule
- Health insurance
- Paid sick time
- Paid time off
- Provident Fund

Work Location: Hybrid remote in Bengaluru, Karnataka

📌 Senior Data Scientist - GenAI (Bengaluru)
🏢 Corridor Platforms
📍 Bengaluru