Senior AWS Python AI Software Engineer

AWS Python AI Software Engineer III - GR - 39820- 71788

Position Title:

AWS Python AI Software Engineer III - GR - 39820- 71788

Job Family:

IFT > Engineering​/Dev

Shift:

Job Description:

JOB POSITION

Build and operate data pipelines and GenAI enablement services on AWS with Snowflake, Aurora, and orchestration. Deliver reliable, secure, and governed data/AI products.

JOB RESPONSIBILITY

• Develop Python services and pipelines for data ingestion, transformation, and serving.

• Build and maintain Snowflake models, ETL/ELT jobs, and performance-optimized SQL.

• Use orchestration (Airflow/Dagster/Prefect/Step Functions) for scheduling, retries, and backfills.

• Support RAG workflows: document ingestion, chunking, embeddings, retrieval, and evaluation.

• Implement basic LLM/agent workflows with tool/function calling and guardrails.

• Operate production workloads: monitoring, alerting, incident triage, and runbooks.

• Apply security governance: least-privilege access, secrets management, and audit logging.

• Implement data quality checks (freshness, volume, schema, nulls) and resolve issues.

 

QUALIFICATION

3–6 years relevant experience, Bachelors in IT/Computers,
with demonstrable production ownership and some GenAI exposure.

EXPERIENCE

• 3–6 years relevant experience,

Strong: Python, AWS, Snowflake, Orchestration, Data Quality, Security basics

Working: LLM, RAG, AI agents, Aurora, Reliability Ops

 

SKILLS AND COMPETENCIES

 

 

• 5 – 8+ years experience in platform/data/backend engineering; strong Python.

• Deep AWS experience (security/IAM, networking patterns, observability, deployment).

• Strong Snowflake expertise (tuning, RBAC, cost governance, scalable patterns).

• Proven orchestration ownership in production.

• Hands-on LLM/RAG delivery (not just theory): retrieval design + evaluation + guardrails.

• Strong reliability/operations experience in production environments.

• Strong security governance implementation experience.

Job Type:

Full time

Experience Level

Senior Level