Java, GenAi

About the Role

Senior Consultant

Key Responsibilities

• Design, develop, and maintain scalable applications using

  Java, Spring Boot, and Microservices

  .
• Architect and integrate

  Generative AI solutions

  (e.g., LLMs, embeddings, RAG pipelines) into business applications.
• Collaborate with data scientists and AI engineers to operationalize models.
• Develop and optimize APIs for

  AI/ML services

  and ensure secure, efficient integration.
• Implement

  cloud-native solutions

  on platforms such as AWS / Azure / GCP.
• Guide and mentor junior engineers, conducting code reviews and knowledge-sharing sessions.
• Partner with business stakeholders to translate requirements into

  technical architecture & solutions

  .
• Ensure delivery aligns with

  best practices in software engineering, CI/CD, testing, and TDD/BDD

  .

Required Skills & Experience

• 4–9 years

  of strong development experience in

  Java, Spring Boot, Microservices

  .
• Hands-on experience with

  Generative AI / LLMs

  (e.g., OpenAI, Anthropic, Hugging Face, LangChain, RAG pipelines).
• Strong knowledge of

  RESTful APIs, GraphQL, and event-driven architectures

  .
• Experience with

  cloud services

  (AWS Lambda, S3, DynamoDB / GCP Vertex AI / Azure Cognitive Services).
• Exposure to

  vector databases

  (e.g., Pinecone, Weaviate, FAISS, Milvus).
• Familiarity with

  prompt engineering

  and

  AI model fine-tuning

  .
• Solid understanding of

  data pipelines

  and integrating

  AI services into enterprise workflows

  .
• Strong grasp of

  software engineering best practices

  : TDD, CI/CD, Agile methodologies.

Good to Have

• Experience in

  Python

  for AI/ML integrations.
• Familiarity with

  Kubernetes, Docker, Terraform

  for deployment.
• Knowledge of

  MLOps practices

  .
• Prior consulting experience in

  digital transformation / AI-led initiatives

  .