AI Engineer

FinThrive Revenue Systems, LLC; Gurugram District; On-site; INR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Term life, Accidental & Medical Insurance

Meal and Transport arrangements

Job summary

FinThrive Revenue Systems, LLC in India seeks a skilled professional to lead the design and implementation of AI solutions. This role involves collaborating with data scientists and engineers to enhance healthcare operations through innovative automation tools and machine learning algorithms.

The ideal candidate will bring 3+ years of experience with MLOps, DevOps practices, and expertise in cloud technologies. The position includes a range of benefits aimed at enhancing employee experience.

Qualifications

• 3+ years of experience in AI, software engineering, MLOps, DevOps, or data engineering.
• Experience with document intelligence and generative AI.
• Familiarity with CI/CD practices.

Responsibilities

• Design and implement AI solutions in a production environment.
• Integrate AI solutions with existing systems.
• Collaborate with cross-functional teams.

Skills

AI and software engineering

MLOps and DevOps

Data engineering

NLP and machine learning

Automation tools

Agile methodologies

Education

Bachelor's degree in Computer Science, AI or related field

Tools

Azure DevOps

Terraform

Python

Big Data technologies

Job description

Posted Tuesday, April 21, 2026 at 4:00 AM

Impact you will make

Join a group of highly talented and motivated data scientists and data engineers with significant healthcare experience to help a thriving Healthcare function. Build a highly functional and efficient Agentic AI platform that brings together data, analytic insights, machine learning (ML) and AI tools to allow FinThrive to design and run complex automations in Healthcare business operations. Partner with internal business, product, and technical teams to analyze requirements to deliver solutions to complex issues. Participate in development and oversee maintenance of code to ensure consistency, quality, best practices, and performance of applications.

What you will do

• Be a key member of a growing team (data scientists, data engineers, AI engineers) that designs and implements artificial intelligence solutions in a production environment, leveraging a variety of AI tools and ML algorithms
• Design, build, maintain and deploy the infrastructure for AI-based solutions
• Integrate solutions with existing systems and applications. Responsible for MLOps and DevOps to ensure scalability, reliability, and security of these systems
• Implement automation tools and processes for Agent flows, RPA, GenAI, model training, testing, and deployment
• Build tools and capabilities for model management and model performance monitoring
• Collaborate effectively with the team and across cross-functional stakeholders
• Model a high-performance culture with critical thinking, problem-solving, learning, collaboration, and experimentation within the team

What you will bring

• Bachelor's degree completed in Computer Science, AI or a related field
• 3+ years of experience with AI, software engineering, MLOps, DevOps, or data engineering, in a professional role
• Experience with document intelligence, generative AI, agentic AI, automation, NLP and machine learning
• Experience with Azure DevOps, CI/CD, Terraform, Python and other scripting languages
• Experience with integrating DevSecOps practices and principles throughout the project life cycle
• Experience with Big Data technologies, cloud-based analytics, non-relational datastores, data visualization tools, and open-source tools for data processing
• Experience with Agile methodologies (Scrum, Kanban) and project management tools such as Jira.
• Travel required: Minimal (a couple of times a year)

What we would like to see

• Experience with Databricks and Azure cloud platforms, UIPath, machine learning, and best practices
• Experience in open-source AI/ML tools, frameworks technologies (for example, Meta, HuggingFace, Nemo, TensorFlow, PyTorch, scikit-learn, Apache MXnet, Spark MLlib, etc.)
• Experience with predictive analytics in Healthcare, Insurance or Consumer Credit industry

About FinThrive

FinThrive is advancing the healthcare economy.

Award-winning Culture of Customer-centricity and Reliability

Our Perks and Benefits

FinThrive is committed to continually enhancing the colleague experience by actively seeking new perks and benefits. For the most up-to-date offerings visit finthrive.com/careers-benefits .

• Term life, Accidental & Medical Insurance
• Meal and Transport arrangements

FinThrive’s Core Values and Expectations

• Demonstrate integrity and ethics in day-to-day tasks and decision-making, adhere to FinThrive’s core values of being Customer-Centric, Agile, Reliable and Engaged, operate effectively in the FinThrive environment and the environment of the workgroup, maintain a focus on self-development and seek out continuous feedback and learning opportunities.
• Support FinThrive’s Compliance Program by adhering to policies and procedures about HIPAA, GLBA, FCRA, and other laws applicable to FinThrive’s business practices; this includes becoming familiar with FinThrive’s Code of Ethics, attending training as required, notifying management or FinThrive’s Helpline when there is a compliance concern or incident, HIPAA-compliant handling of patient information, and demonstrable awareness of confidentiality obligations.

Physical Demands

The physical demands and work environment characteristics described here are representative of those that a colleague must meet to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Equal Opportunity Employer

FinThrive is an Equal Opportunity Employer and ensures its employment decisions comply with principles embodied in Title VII, the Age Discrimination in Employment Act, the Rehabilitation Act of 1973, the Vietnam Veterans Readjustment Assistance Act of 1974, Executive Order 11246, Revised Order Number 4, and applicable state regulations.