Software Development Engineer-I(AI)

As a Senior AI Engineer at Innovaccer, your role is crucial in leveraging healthcare data to build algorithms that personalize treatments based on patients' clinical and behavioral history. You will be instrumental in defining and developing the next generation of predictive analytics tools in healthcare. Role Overview: With every line of code, you will contribute to accelerating customers' success by transforming complex challenges into innovative solutions. Collaborating with a team that is dedicated to turning dreams of better healthcare into reality, you will shape the future and make a meaningful impact on the world. Key Responsibilities: - Design and build scalable AI platform architecture for ML development and robust self-serve AI pipelines. - Develop agentic frameworks and a catalog of AI agents tailored to healthcare use cases. - Design and deploy high-performance, low-latency AI applications. - Build and optimize ML/DL models, including generative models like Transformers and GANs. - Construct and manage data ingestion and transformation pipelines for scalable AI solutions. - Conduct experiments, statistical analysis, and derive insights to guide development. - Collaborate with data scientists, engineers, product managers, and business stakeholders to translate AI innovations into real-world applications. - Partner with business leaders and clients to understand pain points and co-create scalable AI-driven solutions. Qualifications Required: - Masters in Computer Science, Engineering, or a related field. - 1-3 years of software engineering experience with strong API development skills. - 1+ years of experience in data science and at least 1+ year in building generative AI pipelines, agents, and RAG systems. - Strong Python programming skills with enterprise application development and optimization. - Experience with LLMs, prompt engineering, and fine-tuning SLMs. - Familiarity with frameworks like LangChain, CrewAI, or Autogen. - Knowledge of vector databases (e.g., FAISS, ChromaDB) and embedding models. - Familiarity with at least one ML platform (Databricks, Azure ML, SageMaker). - Bonus: Experience with Docker, Kubernetes, AWS/Azure, Snowflake, and healthcare data systems. Join Innovaccer to enjoy competitive benefits such as generous leave, exceptional parental leave policies, sabbatical leave, health insurance, and financial assistance programs. Innovaccer is an equal opportunity employer that celebrates diversity and fosters an inclusive workplace where all employees feel valued and empowered. Innovaccer Inc. is a data platform that accelerates innovation in healthcare by unifying patient data across systems and care settings. With a track record of empowering healthcare organizations with modern applications, Innovaccer has helped unify health records for millions of people and generate significant cost savings. For more information about Innovaccer, visit innovaccer.com and explore our presence on YouTube, Glassdoor, and LinkedIn. As a Senior AI Engineer at Innovaccer, your role is crucial in leveraging healthcare data to build algorithms that personalize treatments based on patients' clinical and behavioral history. You will be instrumental in defining and developing the next generation of predictive analytics tools in healthcare. Role Overview: With every line of code, you will contribute to accelerating customers' success by transforming complex challenges into innovative solutions. Collaborating with a team that is dedicated to turning dreams of better healthcare into reality, you will shape the future and make a meaningful impact on the world. Key Responsibilities: - Design and build scalable AI platform architecture for ML development and robust self-serve AI pipelines. - Develop agentic frameworks and a catalog of AI agents tailored to healthcare use cases. - Design and deploy high-performance, low-latency AI applications. - Build and optimize ML/DL models, including generative models like Transformers and GANs. - Construct and manage data ingestion and transformation pipelines for scalable AI solutions. - Conduct experiments, statistical analysis, and derive insights to guide development. - Collaborate with data scientists, engineers, product managers, and business stakeholders to translate AI innovations into real-world applications. - Partner with business leaders and clients to understand pain points and co-create scalable AI-driven solutions. Qualifications Required: - Masters in Computer Science, Engineering, or a related field. - 1-3 years of software engineering experience with strong API development skills. - 1+ years of experience in data science and at least 1+ year in building generative AI pipelines, agents, and RAG systems. - Strong Python programming skills with enterprise application development and optimization. - Experience with LLMs, prompt engineering, and fine-tuning SLMs. - Familiarity with frameworks like LangChain, CrewAI,