Senior Software Engineer-AI
Carelon Global Solutions India is Seeking a Senior Software Engineer-AI. Applicant will be responsible for designing and building scalable data pipelines, optimizing distributed systems, and enabling data-driven decision-making across the organization. This role requires close collaboration with cross-functional teams including data science, product, and platform engineering.
Job Responsibility
- Design and Develop Scalable Solutions: Architect and implement cloud-native applications using Python, microservices, and Kubernetes for healthcare data processing and analytics.
- AI/ML Integration: Build and deploy Gen AI and LLM-based solutions to enhance automation, decision support, and intelligent data extraction in healthcare workflows.
- Backend Engineering: Develop robust APIs and backend services for claims processing, eligibility checks, and other healthcare operations using RESTful standards.
- Data Engineering: Design and maintain data pipelines for structured and unstructured healthcare data using PostgreSQL, MongoDB, and cloud-native tools.
- Frontend Development: Collaborate with UI/UX teams to build responsive and intuitive interfaces using Angular or React for healthcare applications.
- CI/CD and DevOps: Implement and maintain CI/CD pipelines for automated testing, deployment, and monitoring across environments (AWS/GCP).
- Healthcare Domain Expertise: Apply deep understanding of US healthcare systems, including claims, EDI transactions, and payer-provider workflows, to guide technical decisions.
- Cross-functional Collaboration: Work closely with product managers, data scientists, and QA teams to deliver high-quality software aligned with business goals.
- Participate in code reviews, documentation, and knowledge sharing to maintain high engineering standards.
- Security and Compliance: Ensure solutions adhere to HIPAA and other healthcare compliance standards, with secure data handling and access controls.
- Performance Optimization: Monitor and optimize system performance, scalability, and reliability in production environments.
- Mentorship and Leadership: Guide junior engineers, conduct code reviews, and promote best practices in software development and AI engineering.
- Preferred Tech Stack Contributions: Contribute to projects using Go and TypeScript where applicable, especially in performance-critical or frontend-heavy modules.
- Stay updated with emerging AI trends and contribute to internal innovation and proof-of-concept initiatives.
Qualification
- B.E/B.Tech in Computer Sciences, IT, Engineering.
Experience
- 6 to 7 years of Programming experience.
Skills and Competencies
- Advanced proficiency in Python with expertise in building scalable microservices using RESTful (FastAPI, Snaic) with low latency.
- Expertise in containerization technologies (Docker, Kubernetes).
- Software Engineering & Development: Strong coding practices with Python, and experience in microservices, test-driven development, and concurrency.
- DevOps & Infrastructure: Experience with CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes, Helm).
- Cloud Optimization: Familiarity with deploying AI workloads on GCP or any other cloud platforms.
- Version control and experiment tracking using Git, MLflow, and other MLOps tools for reproducibility and collaboration.
- Proficiency in scripting languages (Bash, PowerShell).
- Knowledge of agile methodologies
Domain Expertise
- Healthcare AI Applications: Understanding of healthcare-specific data modalities, privacy constraints, and domain adaptation for clinical and operational use cases.
- Evaluation Methodologies: Proficiency in designing benchmarks, conducting human evaluations, and applying automated metrics for model performance and safety.
- Mathematical Foundations: Strong grasp of linear algebra, probability, optimization theory, and information theory relevant to deep learning and model design.
- Research Methodology: Experience in experimental design, reproducibility, statistical analysis, and peer-reviewed publication processes.
Professional Competencies
- Strong problem-solving and analytical skills, with the ability to translate complex AI concepts into scalable engineering solutions.
- Ability to rapidly prototype and iterate on GenAI and LLM-based applications, balancing innovation with performance and reliability.
- Effective collaboration across cross-functional teams, including data scientists, researchers, and product stakeholders, to deliver impactful AI solutions.
- Clear and concise communication skills, capable of presenting technical ideas to both technical and non-technical audiences.
- Commitment to engineering excellence, including writing clean, maintainable code, conducting thorough code reviews, and following best practices in software development.
- Proactive learning mindset, staying current with emerging trends in AI, GenAI, and agentic systems, and applying them to real-world problems.
- Experience in mentoring and knowledge sharing, supporting junior engineers and contributing to team growth and capability building.
- Ownership and accountability in delivering high-quality solutions under tight deadlines and evolving requirements.
- Focus on reproducibility and reliability, using tools like Git, MLflow, and CI/CD pipelines to ensure consistent experimentation and deployment.
- Ethical and responsible AI development, with awareness of safety, fairness, and privacy considerations in model design and deployment.
The Carelon Promise
Aligning with our brand belief of 'limitless minds are our biggest asset', we offer a world of limitless opportunities to our associates.
It is our strong belief that one is committed to a role when it is not just what the role entails, but also what lies in its periphery that completes the value circle for an associate.
This world of limitless opportunities thrives in an environment that fosters growth and well-being, and gives you purpose and the feeling of belonging.
Life @ Carelon
- Extensive focus on learning and development
- An inspiring culture built on innovation, creativity, and freedom.
- Holistic well-being
- Comprehensive range of rewards and recognitions
- Competitive health and medical insurance coverage
- Best-in-class amenities and workspaces
- Policies designed with associates at the center.
Equal Opportunity Employer
Carelon is committed to a diverse and inclusive workplace and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics.
Reasonable Accommodation
Our inclusive culture empowers Carelon to deliver the best results for our customers. We not only celebrate the diversity of our workforce, but we also celebrate the diverse ways we work.
If you have a disability and need accommodation such as an interpreter or a different interview format, please ask for the Reasonable Accommodation Request Form.
Disclaimer: Offered designation titles differ*
Job Type: Full time