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LTIMindtree Linkedin · Posted 2mo ago

Artificial Intelligence Engineer

India

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Indexed description

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
  • 5+ years of experience in software development, with 3+ years in AI/GenAI/ML solutioning.
  • Proven track record of building and deploying AI solutions in production environments.
  • Strong programming skills in Python, APIs and experience with Agentic AI (Lang graph, Vector Database), ML frameworks (TensorFlow, PyTorch).
  • Hands-on experience with cloud platforms (AWS, Azure, GCP) and MLOps tools (MLflow, Kubeflow, etc.).
  • Familiarity with data privacy regulations and compliance frameworks (e.g., GDPR, RBI guidelines).

Preferred Skills:

  • Exposure to LLMs, RAG architectures, vector databases, and generative AI
  • Hands on engineering, problem solving and design thinking skill is must
  • Excellent communication and client-facing skills
  • Certifications in AI/ML or cloud architecture is nice to have
  • Design develop and maintain Javabased applications with AIpowered features
  • Integrate Claude AI Codex APIsSDKs Java SDK REST API or WebSocket into backend services
  • Implement prompt engineering and context management for AI driven workflows
  • Collaborate with product managers data scientists and AI engineers to define AI use cases
  • Optimize AI calls for latency cost and accuracy
  • Write unit tests integration tests and maintain high code quality standards
  • Monitor and troubleshoot AI related production issues
  • Stay updated with Claude AI capabilities SDK updates and AI industry trends
  • Required Skills Qualifications
  • Bachelors degree in Computer Science Engineering or related field
  • 5years of professional Java development experience
  • Strong knowledge of Java 8 Spring Boot REST APIs and JSON processing
  • Experience with Claude AI via Java SDK or API or similar LLMs OpenAI Gemini etc
  • Understanding of AI concepts prompt design embeddings context windows and token usage
  • Familiarity with cloud platforms AWS GCP or Azure for AI deployment
  • Strong debugging problemsolving and performance optimization skills
  • Excellent communication and teamwork abilities
  • Preferred Skills

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