- Educational qualifications : Bachelors in computer science engineering, AI/ ML, Electrical Engineering, or related field (Masters or PhD often preferred).

- Joining Bonus for Immediate joiners.

Job Description :

Our Stratetgic customer is transforming the healthcare industry by pioneering innovative AI solutions that redefine care delivery, medication experiences in USA. The vision is to create a future where healthcare experiences are seamlessly enriched by intelligent, proactive, and personalized AI agents. These autonomous, task-focused AI agents effortlessly assist with automation, workflow simplification, recommendations, streamline various healthcare operations to enhance efficiency and reduce wait times, optimize revenue and channel management strategies.

We leverage cutting-edge large language models, natural language processing, multi-agent orchestration, and machine learning techniques to empower hospitality providers to deliver unparalleled guest experiences and operational excellence. We are committed to a lean, collaborative, and innovative environment built on transparency and accountability. The customer is one of the largest healthcare player in this space, where you will be working large scale business and technical challenges providing you an excellent opportunity to learn and grow your career.

Roles and Responsibilities :

Deevita is seeking a Senior AI/ML Integration Engineer to develop and deploy sophisticated multimodal agentic AI solutions for the hospitality sector. You will actively prototype groundbreaking ideas, collaborate closely with product and operational teams, and scale your innovations into robust, solutions. Your responsibilities include developing and tuning models for natural language understanding, deep contextual reasoning, decision-making, and task execution agentic interactions.

Responsibilities :

- Develop and maintain backend microservices using Python, Java and Spring Boot.

- Build and integrate APIs (both GraphQL and REST) for scalable service communication.

- Deploy and manage services on Google Cloud Platform (GKE).

- Work with Google Cloud Spanner (Postgres dialect) and pub/sub tools like Confluent Kafka (or similar).

- Automate CI/CD pipelines using GitHub Actions and Argo CD.

- Design and implement AI-driven microservices.

- Collaborate with Data Scientists and MLOps teams to integrate ML Models.

- Implement NLP pipelines.

- Enable continuous learning and model retraining workflows using Vertex AI or Kubeflow on GCP.

- Enable observability and reliability of AI decisions by logging model predictions, confidence

scores and fallbacks into data lakes or monitoring tools.

Required Qualifications :

- 7+ total experience in software development in the areas of Java, AI/ML/LLM, Agentic Ai.

- 5+ years of backend development experience with Java and Spring Boot.

- 2+ years working with APIs (GraphQL and REST) in microservices architectures.

- 2+ years experience integrating or consuming ML/AI models in production environments (e. RESTful ML APIs, TensorFlow Serving or Vertex AI Endpoints).

- Experience working with structured and unstructured data (e. Rx Claim metadata, clinical documents, NLP processing).

- Familiarity with ML model lifecycle from data ingestion, training, deployment, to real-time inference (MLOPS).

- 2+ years hands-on experience with GCP, AWS, or Azure.

- 2+ years working with pub/sub tools like Kafka or similar.

- 2+ years experience with databases (Postgres or similar).

- 2+ years experience with CI/CD tools (GitHub Actions, Jenkins, Argo CD, or similar).

- Experience in Healthcare domain, preferably targeting USA.

- Experience handling US clients independently, very good communication and interpersonal skills.

Preferred Qualifications :

- Hands-on experience with Google Cloud Platform.

- Familiarity with Kubernetes concepts; experience deploying services on GKE is a plus.

- Strong understanding of microservice best practices and distributed systems.

- Familiarity with Vertex AI, Kubeflow or similar AI platforms on GCP for model training and serving.

- Understanding of GenAI use cases, LLM prompt engineering and agentic orchestration (e. LangChain, transformers).

- Experience deploying Python-based ML Services into Java microservice ecosystems (via REST, gRPC or sidecar patterns).

- Knowledge of claim adjudication, Rx domain logic or healthcare specific workflow automation.

Education :

- Bachelors degree or equivalent experience (5+ years relevant experience). Masters in engineering with focus on AI/ML is highly preferred.

Benefits :

- Industry Competitive Compensation package.

- Exposure to work on advanced technologies and excellent career growth opportunities both

technical and organization level.

- Paid Time off (EL, SL, CL) , Health Insurance coverage.

- Hybrid /Remote Work From Home.

- Yearly Bonus and Performance Incentives.

About us :

At Deevita, we believe in Intelligent Solutions. Better Care. Healthier Lives. Our journey began with a vision to transform healthcare, pharmacy, and life sciences through secure, intelligent, and scalable technology. Today, we deliver end-to-end digital transformation solutions that empower organizations to innovate, adapt, and thrive in a rapidly evolving world.

From AI and advanced analytics to data engineering, SaaS platforms, visualization, and cloud modernization, we help startups, healthcare providers, and pharma companies unlock the full potential of their data and technology. For enterprises, we go further enabling Agentic AI solutions that create intelligent agents, train models for specific business needs, and manage the complete machine learning lifecycle. Our mission is simple yet powerful : to improve decision-making, accelerate innovation, and reimagine care delivery creating healthier lives for all.