Gen AI Engineer

Job Description

Gen AI Engineer + Strong DE

• Experience product ionizing AI/ML or LLM-powered workflows (using Lang Graph, Lang Chain, CrewAI, etc.) with a focus on reliability, reproducibility, and auditability

• Strong understanding of LLMOps fundamentals, including prompt/model/config versioning and traceable run metadata.

• Hands-on experience in Python, PySpark/Spark, NO-SQL (Mongo

DB), SQL
- Postgre

SQL, Redis, Databricks, Delta Lake, Azure Cloud

• Ability to build and maintain an LLM evaluation framework (golden datasets, regression tests, scoring/rubrics, quality thresholds, trend tracking) for non-deterministic outputs

• Proven ability to implement observability for LLM pipelines, including structured logging, metrics, dashboards, alerting, latency breakdown, error taxonomy, and token/cost tracking

• Experience designing and integrating tool-calling / agent skills (function calling, tool interfaces, input/output schemas, guardrails, structured outputs) into data pipelines or services

• Experience with API reliability patterns relevant to model calls (rate limiting, retries/backoff, circuit breakers, timeouts, idempotency, replay/backfill)

• Demonstrated curiosity and self-learning ability in fast-evolving GenAI industry; able to iterate quickly and then harden solutions for production