Job Description
Gen AI Engineer + Strong DE
Experience productionizing AI/ML or LLM-powered workflows (using LangGraph, LangChain, 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 (MongoDB), SQL- PostgreSQL, 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: RTL155990
- Position Id: 94e2d7f267d18b6343408c009948cc88
- Posted 30+ days ago
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