Senior AI Engineer

Corridor Platforms

5-7 Years

Bengaluru, India

Posted 15 days ago

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Job Description

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, and 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.

Requirements

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, and FastAPI.
Experience with agent development platforms and SDKs, such as OpenAI Agent SDK, Google Agent SDK, Dialogflow, VAPI, Salesforce AgentForce, and Microsoft Copilot.
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.

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.

This job was posted by Fahad Muhammad Ali from Corridor Platforms.

More Info

Job Type:

Permanent Job

Industry:

Other

Function:

Artificial Intelligence / Machine Learning

Employment Type:

Full time

Key Skills

LangChain

CrewAI

Hugging Face Transformers

Plotly

Vapi

TRL

Salesforce AgentForce

Google Agent SDK

OpenAI Agent SDK

Microsoft Copilot

Dialogflow

generative AI solutions

Sklearn

FastAPI

Python

About Company

Last Updated: 14-09-2026 07:50:51 PM

5-7 yrs

Bengaluru, India

Skills:

Large Language Models (LLMs), Java, Sql, Restful Apis, Data Modelling, Python, Kubernetes, NoSQL databases, Go, Agentic AI, Public cloud platforms, Containerization and orchestration tools

3-5 yrs

Bengaluru, India

Skills:

Tensorflow, Nlp, Pytorch, Docker, FastAPI, Kubernetes, Python, LangChain, Speech AI, Hugging Face Transformers, AI microservices, MLflow, wav2vec, Whisper, spaCy, GraphQL APIs, AI4Bharat, Rasa, NLU, OpenAI