Primary Skill
Must have - Python, Microservices, Backend, API, Kubernetes, Data Engineering
Angular / React, Postgresql, MongoDBCloud,Cloud Native Apps Design (AWS/GCP).
JOB POSITION
- 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
