SettleMed is hiring for an entry level AI/ML Engineer role in India

Position:

• AI/ML Engineer

Company:

• SettleMed

Location:

• Greater Noida, Uttar Pradesh, India

Job Type:

• Full Time

Job Mode:

• Remote

Job Requisition ID:

• Not Specified

Years of Experience:

• 1 to 3 Years

Company Description

• SettleMed is a healthcare technology organization focused on improving operational efficiency across the healthcare and medical claims ecosystem through the use of advanced digital technologies and artificial intelligence.

• The company aims to simplify healthcare administration by creating technology driven solutions that reduce manual intervention, improve communication, and enhance transparency among various participants within the healthcare system.

• SettleMed works toward addressing common challenges associated with healthcare claim management, documentation processing, stakeholder coordination, and operational workflows.

• The organization is building intelligent digital systems that help healthcare providers, administrators, insurance stakeholders, and patients interact more efficiently throughout the healthcare journey.

• One of the primary objectives of the company is to reduce inefficiencies that arise from paperwork heavy processes by replacing traditional methods with modern digital platforms and automated workflows.

• SettleMed places a strong emphasis on clean claims processing, real time communication, and streamlined operations that can improve both financial outcomes and patient experiences.

• Through the use of artificial intelligence, automation technologies, machine learning models, and intelligent workflow systems, the company seeks to modernize healthcare operations at scale.

• The organization is particularly interested in applying emerging AI technologies to solve practical healthcare challenges that affect claim approvals, data processing, workflow management, and decision support.

• As healthcare systems continue to generate large volumes of structured and unstructured information, SettleMed is investing in AI powered platforms that can process information efficiently while maintaining reliability and accuracy.

• The company operates within the healthcare technology space and combines domain expertise with advanced engineering capabilities to create innovative solutions.

• Employees joining the organization have an opportunity to work on projects that directly influence operational effectiveness within healthcare environments.

• SettleMed values innovation, technical excellence, experimentation, and the application of modern AI techniques to real world business challenges.

• The company encourages professionals who are passionate about artificial intelligence, automation, healthcare transformation, and scalable technology development.

• Team members are expected to contribute to a culture of continuous learning, innovation, collaboration, and technical problem solving.

• By leveraging advanced AI systems, SettleMed aims to create a future where healthcare administration becomes more efficient, accurate, and accessible for all stakeholders involved.

Profile Overview

• SettleMed is seeking an AI/ML Engineer who can contribute to the development of advanced artificial intelligence systems designed for healthcare claim processing and operational automation.

• The role focuses on building intelligent applications powered by large language models and modern AI architectures.

• The selected candidate will participate in the design, development, deployment, and optimization of AI solutions that support business critical healthcare processes.

• This position requires hands on involvement in creating scalable AI powered applications capable of processing large volumes of information efficiently.

• Candidates should possess practical experience working with modern generative AI technologies and machine learning systems.

• The role involves designing intelligent workflows that utilize large language models from leading providers such as Anthropic, OpenAI, and Google.

• Professionals in this position will work on retrieval augmented generation systems that combine language models with external knowledge sources to improve accuracy and contextual understanding.

• The engineer will be responsible for building AI driven services capable of supporting complex healthcare use cases and operational requirements.

• A significant aspect of the position includes developing intelligent agents capable of performing automated tasks, interacting with tools, and executing multi step workflows.

• The role requires collaboration with engineering teams, product stakeholders, and business users to ensure successful implementation of AI solutions.

• Candidates should be comfortable creating backend systems using Python and modern web frameworks.

• The position involves transforming experimental AI concepts into reliable production ready systems.

• Engineers will work with vector databases, embedding models, API integrations, workflow automation systems, and scalable service architectures.

• The role demands a strong understanding of AI engineering best practices, software development methodologies, and deployment considerations.

• Successful candidates should demonstrate curiosity, adaptability, and a passion for applying AI technologies to solve meaningful business problems.

• Individuals joining the team will have opportunities to work on cutting edge healthcare AI initiatives while contributing to products that can create measurable business impact.

• The organization is especially interested in candidates who enjoy innovation and who can effectively bridge the gap between advanced AI research and practical implementation.

Key Responsibilities

AI and Machine Learning Development

• Develop advanced AI powered applications utilizing state of the art large language models.

• Build intelligent systems using leading AI platforms and model providers.

• Create reliable and scalable machine learning workflows that support business objectives.

• Design solutions that can process healthcare related information efficiently and accurately.

• Optimize AI applications for performance, scalability, and reliability.

• Participate in the evaluation and selection of AI technologies suitable for specific use cases.

Large Language Model Implementation

• Integrate large language models into production environments.

• Develop applications powered by models from providers such as Anthropic, OpenAI, and Google.

• Implement model orchestration techniques to improve performance and operational efficiency.

• Design prompts, workflows, and interaction strategies that maximize model effectiveness.

• Evaluate outputs and continuously improve AI system quality.

Retrieval Augmented Generation Systems

• Design and develop retrieval augmented generation architectures.

• Build pipelines that combine external knowledge retrieval with language model reasoning.

• Work with vector databases and embedding technologies.

• Improve information retrieval accuracy and contextual relevance.

• Create scalable frameworks for managing knowledge intensive AI applications.

Agentic AI Development

• Build intelligent agents capable of performing autonomous and semi autonomous tasks.

• Develop workflow automation systems powered by AI.

• Create tool calling mechanisms that allow agents to interact with external systems.

• Design multi step reasoning and execution processes.

• Enhance agent performance through testing, monitoring, and optimization.

Backend Engineering

• Build backend services using Python based technologies.

• Develop scalable APIs and service architectures.

• Ensure system stability, maintainability, and performance.

• Integrate AI services with enterprise systems and business applications.

• Support deployment and production readiness activities.

Workflow Integration

• Implement structured workflow actions within AI systems.

• Develop integrations with healthcare related data sources.

• Support connectivity between AI applications and existing operational platforms.

• Create systems capable of handling real time information exchange.

• Ensure smooth communication between different technology components.

Qualifications

• Demonstrated experience working with artificial intelligence and machine learning technologies.

• Practical exposure to large language model based application development.

• Strong proficiency in Python programming and backend software development.

• Experience building scalable software solutions and production ready systems.

• Knowledge of FastAPI or similar backend development frameworks.

• Understanding of API design, implementation, and integration principles.

• Familiarity with retrieval augmented generation concepts and implementations.

• Experience working with vector databases and embedding technologies.

• Understanding of prompt engineering methodologies and best practices.

• Ability to design, implement, and optimize AI workflows.

• Knowledge of agent based AI systems and automation frameworks.

• Familiarity with RESTful service architectures and integration patterns.

• Strong analytical thinking and problem solving abilities.

• Ability to work independently while collaborating effectively within teams.

• Excellent communication and technical documentation skills.

• Passion for emerging AI technologies and continuous learning.

• Capability to translate business requirements into technical solutions.

• Understanding of software engineering best practices, testing methodologies, and deployment strategies.

• Commitment to building reliable, maintainable, and scalable systems.

• Ability to adapt to evolving technologies and changing project requirements.

Preferred Qualifications

Kaggle Achievements

• Participation in competitive machine learning challenges.

• Recognition through Kaggle medals or rankings.

• Demonstrated expertise in solving complex AI and machine learning problems.

• Strong performance in NLP, healthcare AI, computer vision, or large language model competitions.

Open Source Contributions

• Contributions to publicly available AI or machine learning projects.

• Experience collaborating within open source communities.

• Demonstrated commitment to knowledge sharing and innovation.

Research and Technical Content

• Published research papers related to artificial intelligence or machine learning.

• Technical blogging or educational content creation experience.

• Contributions to industry discussions and technical communities.

• Evidence of continuous engagement with advancements in AI technologies.

Advanced AI Expertise

• Deep understanding of generative AI ecosystems.

• Experience with modern orchestration frameworks.

• Exposure to enterprise grade AI deployments.

• Strong understanding of model optimization and performance enhancement techniques.

Skills Required

• Python

• FastAPI

• Large Language Models

• Claude API

• OpenAI Technologies

• Gemini Models

• Retrieval Augmented Generation

• Qdrant

• Embedding Models

• Prompt Engineering

• Agentic AI

• MCP Based Integrations

• Workflow Automation

• REST APIs

• Backend Development

• System Integration

• AI Service Development

• Knowledge Retrieval Systems

• Automation Architecture

• Production AI Deployment

Additional Information

• This position offers an opportunity to work at the intersection of healthcare and artificial intelligence.

• The role provides exposure to some of the most rapidly evolving areas of modern AI development.

• Professionals joining the organization will have the chance to build production grade AI solutions rather than purely experimental systems.

• The company is focused on solving real business problems using advanced technologies.

• Team members will work with large language models, agentic systems, retrieval architectures, and workflow automation platforms.

• The position allows engineers to contribute directly to healthcare process modernization.

• Candidates will gain valuable experience in designing scalable AI services for practical applications.

• The organization values technical excellence and rewards individuals who demonstrate strong AI capabilities.

• Exceptional talent with proven achievements in competitive machine learning environments may receive special consideration.

• The role encourages innovation, experimentation, and continuous skill development.

• Engineers will have opportunities to work with modern AI frameworks, tools, and deployment strategies.

• Remote work flexibility enables professionals to contribute from different locations while remaining connected to project goals.

• Exposure to healthcare technology provides opportunities to solve meaningful challenges with measurable impact.

• The company is looking for individuals who are passionate about transforming ideas into scalable AI products.

• Professionals who enjoy working in dynamic environments and learning emerging technologies are likely to find this role rewarding.

• The position combines software engineering, machine learning, artificial intelligence, automation, and healthcare innovation into a single career opportunity.

• Candidates with strong practical expertise and a demonstrated track record of AI excellence are likely to stand out during the selection process.

• This role represents an opportunity to contribute to the next generation of intelligent healthcare technology solutions while advancing expertise in cutting edge AI domains.

Please click here to apply.