Job Description
Key Responsibilities
- Gather and translate business requirements into actionable technical tasks.
- Design and implement data pipelines and propose AI/ML solutions.
- Build, deploy, and scale cloud applications using AWS.
- Facilitate collaboration between business and engineering teams.
- Document system designs, APIs, and technical details.
- Ensure deliverables meet quality standards and project goals.
Essential Skills
- Strong data engineering skills: Python, ETL, Kafka, Apache Spark.
- Familiarity with AI/ML frameworks (Langchain, Langgraph, GAIA).
- Proficiency in frontend development (HTML, CSS, JavaScript/TypeScript, Angular/React).
- Hands-on experience with AWS services (API Gateway, Lambda, DynamoDB, S3, SQS).
- Knowledge of unit testing frameworks (Jest, pytest).
- Experience with Git/GitHub Actions and CI/CD pipelines.
- Understanding of UI/UX principles, RESTful APIs, and GraphQL.
Advantageous
- Interest in LLM-based applications and emerging AI technologies.
- Certifications in AWS or Terraform.
- Strong problem-solving and adaptability in Agile environments.
Qualifications
- 6–10 years in professional software development.
- Relevant degree or equivalent experience.
- Agile working experience.
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