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Job Description

Build and deliver production data and AI capabilities for enterprise clients in a senior role based in Georgia.

Responsibilities

  • Design, build, and ship production-grade data and AI systems for enterprise clients
  • Lead technical workstreams end to end
  • Mentor junior engineers
  • Own end-to-end delivery of data and AI features

Requirements

  • Degree in Computer Science/Engineering or equivalent experience
  • 5+ years of relevant professional experience in a data engineering role, including leading technical workstreams, mentoring junior engineers, and driving adoption of software engineering best practices
  • Expert-level proficiency in Python and SQL
  • Ability to work in polyglot environments (Scala, Java) when required by client enterprise systems
  • Strong experience building Agentic AI, Generative AI, Machine Learning, and Business Intelligence systems, including:
    • Prompt design
    • Retrieval-augmented generation (RAG)
    • Embeddings
    • Vector databases
    • Context construction
    • Output handling in production workflows
  • Hands-on experience with modern frameworks and platforms including Spark, LangChain, Databricks, Dask, Airflow, Dagster, and Kedro
  • Ability to lead AI feature implementation end to end, with judgment on model behavior, evaluation, reliability, guardrails, and trade-offs between quality, latency, and cost
  • Deep knowledge of MLOps/LLMOps, including CI/CD for data workflows and automated agent evaluation tools:
    • LangSmith
    • Opik
    • Langfuse
  • Infrastructure as code with Terraform across cloud providers: AWS, Azure, GCP
  • Experience implementing robust data security and governance controls, including managing PII/PHI, authentication, and RBAC (role-based access control)
  • Exceptional time management and ability to own technical workstreams independently
  • Strong verbal and written communication skills in English and the local office language
  • Willingness to travel as required

Preferred Qualifications

  • Experience using coding agents such as Cursor, Claude Code, Codex, etc.

Technologies

  • Python, SQL, Scala, Java
  • Spark, LangChain, Databricks, Dask
  • Airflow, Dagster, Kedro
  • Agentic AI, Generative AI, Machine Learning, Business Intelligence
  • Prompt design, Retrieval-augmented generation (RAG), embeddings, vector databases
  • CI/CD, LangSmith, Opik, Langfuse
  • Terraform, AWS, Azure, GCP
  • PII/PHI, RBAC

Location: Georgia (onsite)

Experience: 5+ years

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