Job Position :

- 8+ years of experience in software development, with a strong focus on full-stack and cloud technologies.

- Hands-on experience with Agentic Layer A2A frameworks and MCP Protocol.

- Expertise in AI/ML engineering, specifically vector embeddings, prompt engineering, and context engineering.

- Strong programming skills in at least two of the following : Python, Java, Go.

- Proficiency in deploying solutions on Azure Cloud.

- Experience with databases such as Azure AI Search, Redis, and Cosmos DB (Blob Storage and Iceberg are plus).

- Proven ability to design and manage Azure Functions and Azure Container Apps.

- Strong understanding of cloud-native architecture, scalability, and performance optimization.

- Design and implement AI-driven solutions that align with business objectives.

- Expertise in AI/ML frameworks like TensorFlow and PyTorch, Agentic frameworks like LlamaIndex, LangChain

- Develop AI models, systems and infrastructure, including GenAI tools (e.g. GPT, GANs) NLP tools (SpaCy, NLTK, Hugging Face), ML and DL tools.

- Proficiency and hands-on experience in programming languages such as Python, R, Java, or C++.

- Collaborating with data scientists, engineers, and business stakeholders.

- Guide technology selection, ensuring solutions align with business goals and compliance standards.

- Developing scalable AI architectures and ensuring seamless integration with existing systems.

- Overseeing AI model deployment, optimization, and performance monitoring.

- Ensuring compliance with ethical AI guidelines and data privacy regulations.

- Experience with cloud platforms (AWS, Azure, or Google Cloud).

- Strong knowledge of DevOps, MLOps, and CI/CD pipelines.

- Understanding of big data technologies and analytics is preferable

- RDBMS (Oracle., SQL server or DB2)

- NoSQL (Mongo/docDb)

- Health care domain knowledge is preferable

- Excellent problem-solving skills and ability to think critically.

- Solid understanding of software development methodologies such as Agile and Scrum.

Job Responsibility :

- Strategic Planning : Developing AI strategies that integrate with enterprise goals and identifying opportunities for AI adoption.

- Solution Architecture : Design scalable AI frameworks, ensuring seamless integration with enterprise systems.

- Architecture & Development : Overseeing the development of scalable, high-performing applications requires a strategic approach, regardless of the tech stack.

- Code Quality & Reviews : Conduct code reviews and enforce best practices for clean, maintainable code.

- Collaboration : Working closely with data scientists, engineers, and business stakeholders to ensure AI solutions meet organizational needs.

- Model Deployment & Optimization : Overseeing AI model implementation, monitoring performance, and refining algorithms for efficiency.

- Security & Compliance - Ensuring AI solutions adhere to ethical guidelines, data privacy regulations, and cybersecurity best practices.

- Integration & Deployment : Ensure seamless integration of front-end and back-end components.

- Continuous Improvement : Establishing feedback loops to enhance AI models and maintain system reliability.

- Mentorship : Guide junior developers, providing technical support and career development.

- Innovation & Research.

Qualification : Bachelor's/Master's degree in computer science or equivalent.

Technical Experience :

- Machine Learning & AI : Expertise in AI models, neural networks, and ML frameworks like TensorFlow and PyTorch.

- Programming Languages : Proficiency in Python, R, Java, or C++ for AI development

- Front-End Development : Knowledge in HTML, CSS, JavaScript, React, Angular is value added.

- Microservices Architecture : Ability to design and implement scalable microservices.

- Data Engineering : Experience with ETL processes, data lakes, and big data technologies would be added advantage.

- Database Management : Knowledge of SQL, NoSQL, PostgreSQL, MongoDB.

- Cloud Computing : Familiarity with AWS, Azure, or Google Cloud for scalable AI solution.

- DevOps & MLOps : Knowledge of CI/CD pipelines, containerization (Docker, Kubernetes), and model deployment.

- Security & Compliance : Understanding of ethical AI, data privacy regulations, and cybersecurity best practice

Leadership & Management Experience :

- Leadership : Leading development teams, mentoring junior engineers.

- Project Management : Managing timelines, ensuring high-quality deliverables.

- Code Reviews & Best Practices : Enforcing coding standards and best practices.

- Collaboration : Working with cross-functional teams, including product managers and designer

Process Experience :

- Agile & Scrum Methodologies

- Security & Performance Optimization.

- Unit Test frameworks.

Skills & Competencies :

- Back-End : Python, R, Java,.

- Front-End : HTML, CSS, JavaScript, React, Angular.

- Cloud & DevOps : AWS, Azure, CI/CD pipelines, Docker, Kubernetes.

- Database Management : SQL, NoSQL, PostgreSQL, MongoDB.

- Repo & Build tools : Bitbucket, Git & Maven

- Agile Project Management : Jira