Te - 39544 - 69760 - GR - Sr Software Engineer - Jr163814

Sr Software Engineer

We are looking for a Sr Software Engineer with US Healthcare background with 5-7 years of Programming experience in Python, Gen AI, ML, LLM & CICD.

Job Responsibility:

• Develop and maintain AI/ML models, including small and efficient language models tailored for healthcare use cases.
• Build and enhance GenAI pipelines, including data preprocessing, model training, and evaluation workflows.
• Contribute to model optimization efforts such as quantization, pruning, and distillation to improve performance and efficiency.
• Agentic AI Systems: Experience in designing autonomous AI agents with tool-use capabilities, multi-agent collaboration, and advanced reasoning frameworks using libraries like AutoGen and CrewAI. Knowledge in integrating planning, memory, and self-improvement mechanisms for dynamic task execution.
• Implement and integrate multimodal models (e.g., text, vision, audio) using frameworks like CLIP, BLIP, or Whisper.
• Support deployment of models on cloud platforms and edge devices, ensuring scalability and reliability.
• Collaborate with cross-functional teams to translate business requirements into technical solutions using AI.
• Utilize LLM frameworks such as LangChain or LlamaIndex to build intelligent applications and agents.
• Work with vector databases (e.g., FAISS, Pinecone,Chroma) to enable semantic search and retrieval-augmented generation (RAG).
• Participate in code reviews, documentation, and knowledge sharing to maintain high engineering standards.
• 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:

Technical Skills:

• Advanced proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow)
• Experience with LLM frameworks such as Hugging Face Transformers and LangChain, including prompt engineering and fine-tuning techniques.
• Hands-on with libraries such as AutoGen, CrewAI, and LangGraph, and skilled in orchestrating agent workflows using LLM-based planning, retrieval, and action chaining.
• Knowledge of RAG pipelines and semantic search using vector databases and retrieval-augmented generation techniques.
• Hands-on experience with model optimization techniques including quantization (GPTQ, AWQ), pruning, and distillation for efficient deployment.
• Proficiency in multimodal AI development, integrating text, vision, and audio using models like CLIP, BLIP, Whisper, and LLaVA.
• LLM Infrastructure & Deployment: Skilled in serving models using FastAPI, managing vector databases (FAISS, Pinecone,Chroma), and building scalable inference pipelines.
• 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 AWS, Azure, or GCP using tools like SageMaker
• Version control and experiment tracking using Git, MLflow, and other MLOps tools for reproducibility and collaboration.

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