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Junior AI Engineer

Luxoft
Bengaluru, IND
Full-time
Entry · 1+ years experience
Onsite
Discovered 4 days ago
• Minimum of 1+ years of experience in AI/ML solution implementation (mandatory) • Must have worked in Banking Domain • Minimum of 1 years of experience in Pyspark processing high volume data (mandatory) • AI & ML Skills: Multi-Agent System Design & Orchestration Full-stack AI Integration (Frontend to Backend) Advanced Prompt Engineering LLM Observability, Evaluation & Monitoring (LLMOps) • Data Engineering Skills: Proficient in Pyspark coding and concepts. Example: Lazy evaluation, window functions, spark architecture and performance finetuning (ex: data skew reduction (salting etc), joins (broadcast, merge sort joins ect) SQL proficiency and query optimization • Main Technologies: Pyspark Git hub Copilot

Full Job Posting

Responsibilities

  • Design, develop, and maintain full-stack Python applications with modern frontend frameworks • Build and optimize RAG (Retrieval-Augmented Generation) systems for AI applications • Create and implement efficient vector databases and knowledge stores • Develop APIs that connect frontend interfaces with backend AI services • Implement and maintain CI/CD pipelines for AI applications • Monitor application performance and troubleshoot issues in production • Design and maintain data pipelines, ETL/ELT workflows, and data infrastructure to support AI and analytics workloads
  • Design, develop, and maintain full-stack Python applications with modern frontend frameworks
  • Build and optimize RAG (Retrieval-Augmented Generation) systems for AI applications
  • Create and implement efficient vector databases and knowledge stores
  • Develop APIs that connect frontend interfaces with backend AI services
  • Implement and maintain CI/CD pipelines for AI applications
  • Monitor application performance and troubleshoot issues in production
  • Design and maintain data pipelines, ETL/ELT workflows, and data infrastructure to support AI and analytics workloads

Skills

  • Minimum of 1+ years of experience in AI/ML solution implementation (mandatory) • Must have worked in Banking Domain • Minimum of 1 years of experience in Pyspark processing high volume data (mandatory) • AI & ML Skills: Multi-Agent System Design & Orchestration Full-stack AI Integration (Frontend to Backend) Advanced Prompt Engineering LLM Observability, Evaluation & Monitoring (LLMOps) • Data Engineering Skills: Proficient in Pyspark coding and concepts. Example: Lazy evaluation, window functions, spark architecture and performance finetuning (ex: data skew reduction (salting etc), joins (broadcast, merge sort joins ect) SQL proficiency and query optimization • Main Technologies: Pyspark Git hub Copilot

Qualifications

  • Must have
  • Minimum of 1+ years of experience in AI/ML solution implementation (mandatory)
  • Must have worked in Banking Domain
  • Minimum of 1 years of experience in Pyspark processing high volume data (mandatory)
  • AI & ML Skills: Multi-Agent System Design & Orchestration Full-stack AI Integration (Frontend to Backend) Advanced Prompt Engineering LLM Observability, Evaluation & Monitoring (LLMOps)
  • Data Engineering Skills: Proficient in Pyspark coding and concepts. Example: Lazy evaluation, window functions, spark architecture and performance finetuning (ex: data skew reduction (salting etc), joins (broadcast, merge sort joins ect) SQL proficiency and query optimization
  • Main Technologies: Pyspark Git hub Copilot

Preferred Qualifications

  • --

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