Senior AI Engineer
Senior AI Engineer
luxoft india5-7 Years
- Posted an hour ago
- Be among the first 10 applicants
Job Description
Project Description:
- We are looking for AI Engineers for a strategic initiative to build Agentic AI use cases around Trading Surveillance. Ideal candidate is someone with strong pyspark background coupled with proven experience build Agentic AI pipelines for code conversion from Q KDB to Pyspark.
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
Mandatory Skills:
- Artificial Intelligence (AI)
- PySpark
Mandatory Skills Description:
- Minimum of 5 years of experience in AI/ML solution implementation (mandatory)
- Minimum of 3 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
- Pyspark
- Git hub Copilot
More Info
Key Skills
About Company
Skills:
Sql, Tensorflow, Numpy, Git, Pandas, Pytorch, Databricks, Rest Apis, Python, Scikit-learn, ADLS Gen2, MLflow, Delta Live Tables, Azure Data Lake Storage, Delta Lake, AI ML libraries
Skills:
data engineering , Cloud Platforms (Azure, GCP), Large Language Models (LLMs), Machine Learning, Microservices, Software Development, Docker, Python, Sql, Deep Learning, Api Development, AWS, MLops, Data Analytics, Kubernetes, AI Governance, Vector Databases, AI Operations, Responsible AI Practices, semantic search, Generative AI, AI Agent Frameworks, Model Evaluation and Optimization, NoSQL Databases, CI/CD, Prompt Engineering
Skills:
Artificial Intelligence (AI), Pyspark, Full-stack AI Integration Frontend to Backend, Data Engineering Skills, Advanced Prompt Engineering, Vector databases and knowledge stores, Multi-Agent System Design Orchestration, AI/ML solution implementation, RAG Retrieval-Augmented Generation systems, LLM Observability Evaluation Monitoring LLMOps, CI/CD pipelines, SQL proficiency and query optimization
Skills:
MLops, Python, LangGraph, infrastructure-as-code, Microsoft Agent Framework, container orchestration, relational SQL database design and querying, prompt engineering
Skills:
Java, Sql, Reactjs, Python development, GenAI, RAG architecture, LLMs, Datadog APM, Python APIs, Azure AI Foundry, Vector Databases, GitHub Copilot, MCP Model Context Protocol, Agentic AI