Principal Consultant | Java | Core Java

We are seeking a passionate professional to design, build, and integrate intelligent systems into scalable enterprise applications. The ideal candidate has a strong development background combined with hands-on experience using AI/ML tools, APIs, and frameworks.

You’ll work closely with cross-functional teams to design robust backend services and embed AI-driven capabilities such as natural language processing, recommendation systems, predictive analytics, and automation.

• Design and develop high-performance applications using Java (Spring Boot, Microservices) and Angular JS.
• Integrate AI models via REST APIs, Python services, or cloud AI platforms.
• Collaborate with data scientists to deploy and optimize ML models in production.
• Build APIs and microservices that enable intelligent data-driven features.
• Implement data pipelines for AI workloads, ensuring scalability and reliability.
• Evaluate and experiment with GenAI, LLMs, and AI APIs (OpenAI, AWS Bedrock, Vertex AI, Azure OpenAI).
• Maintain coding standards, CI/CD pipelines, and cloud deployment best practices (AWS, GCP, or Azure).
• Troubleshoot performance issues and ensure application reliability.

• Strong development experience with Java (Java 8, Spring Boot, REST APIs) and Angular JS.
• Hands-on experience with AI/ML frameworks such as Tensor Flow, PyTorch, or scikit-learn.
• Experience or exposure to Generative AI technologies (e.g., LLM integration, prompt engineering, or AI model APIs).
• Experience integrating AI APIs (e.g., OpenAI, Hugging Face, Google Vertex AI).
• Solid understanding of data structures, algorithms, and software design patterns.
• Familiarity with Python for ML model interaction or API wrapping.
• Experience with Docker, Kubernetes, and cloud environments (AWS/GCP/Azure).
• Knowledge of SQL/No
  
  SQL databases and data ingestion pipelines.
• Excellent communication and problem-solving skills.

• Experience working with Generative AI / LLM applications.
• Exposure to Lang Chain, RAG architecture, or vector databases (Pinecone, FAISS).
• Understanding of the machine learning lifecycle (training, testing, deployment).
• Experience with event-driven systems (Kafka, Rabbit
  
  MQ).
• Contribution to AI-based open-source projects or hackathons.

• Bachelor’s or Master’s in Computer Science, Engineering, or related field.

The client requires an in-person interview. Candidates must be available to attend the interview at the client’s office.

For immediate consideration please click APPLY.