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Senior AI Engineer
Luxoft
Chennai, IND
Full-time
Senior · 6–9 years experience
Onsite
Discovered Today
• Minimum of 6 to 9 years of experience to implement the solution • Must have worked in Banking Domain • Minimum of 2 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
Key Skills for This Role
• Minimum of 6 to 9 years of experience to implement the solution • Must have worked in Banking Domain • Minimum of 2 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 6 to 9 years of experience to implement the solution • Must have worked in Banking Domain • Minimum of 2 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 6 to 9 years of experience to implement the solution
- Must have worked in Banking Domain
- Minimum of 2 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
- --
About Luxoft
Technology10,001+Founded 2000
Global IT services and consulting company
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