Staff Software Engineer (L4) - Enterprise AI Engineering
ColombiaFull-TimeStaff
Salary not disclosed
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Job Details
- Experience
- 8+ years of experience in data engineering, software development, or a related field, with at least 3 years in a technical leadership role.
- Required Skills
- AWSSoftware DevelopmentGCPHadoopJavascriptKafkaTypeScriptAzureData engineeringReactSparkData modelingLangChainDistributed Systems
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field
- 8+ years of experience in data engineering, software development, or a related field
- 3+ years in a technical leadership role
- Experience with full-stack development building web apps
- Experience with JavaScript, Typescript or React
- Proven track record of architecting and delivering complex data projects at scale
- Deep understanding of data infrastructure and distributed systems
- Strong understanding of data modeling, data warehousing, and ETL processes
- Experience designing and optimizing data pipelines
- Excellent communication and collaboration skills
- Strong leadership skills, with a track record of mentoring and developing engineering teams
- Demonstrated ability to thrive in a fast-paced, dynamic environment
- Experience developing production-quality LLM applications and using modern agent frameworks (Langchain, Langgraph, Llamaindex, LangSmith, LangFuse, CrewAI) (Desired)
- Expertise in big data technologies such as Hadoop, Spark, Kafka (Desired)
- Expertise in cloud-based data services (AWS/GCP/Azure) (Desired)
Responsibilities
- Co-lead the design and development of software infrastructure, driving technical vision and strategy.
- Drive the development of sophisticated, stateful web applications, integrating React-based front-ends with backend modular services.
- Serve as developer leader in distributed systems and data technologies.
- Drive technical innovation and research to stay at the forefront of emerging data technologies.
- Mentor and elevate a team of high-performing engineers through code reviews and architectural workshops.
- Collaborate closely with cross-functional teams to translate business requirements into scalable technical solutions.
- Continuously adapt to the evolving JavaScript ecosystem to maximize engineering efficiency.
- Ensure data quality, integrity, and security throughout the data lifecycle.
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