Senior Engineer (Agentic + Data/ML) - Remote

Remote • Posted 4 hours ago • Updated 4 hours ago

Contract Independent

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Contract W2

Remote

Depends on Experience

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Job Details

Skills

Operations Support Systems
JIRA
Machine Learning (ML)
Meta-data Management
Migration
Cloud Computing
Data Centers
Data Modeling
Data Quality
Epic
Git
API
Amazon S3
Amazon Web Services
Analytics
Broadcasting
Caching
Optimization
Orchestration
Performance Tuning
Productivity
Public Relations
Python
Scheduling
Software Engineering
Training
UI
Video
Workflow

Summary

Senior Engineer (Agentic + Data/ML)

Remote

Project description

You will join a core engineering team within one of the leading U.S. videocontent providers, supporting hundreds of distributed software engineering teams and operating across a largescale infrastructure that spans internal data centers, broadcast facilities, and public cloud (AWS).

The project focuses on building agentic retrieval workflows, data pipelines, and ML/LLMdriven scoring systems that enhance engineering productivity and codequality metrics. You will design retrieval agents, optimize LLM prompting strategies, build robust orchestration, and integrate backend services that process PR, commit, and codequality metadata at scale.

Target Background:

5-10+ years as a software/data/ML engineer.
Strong Python expertise and familiarity with modern data/ML tooling.
Proven delivery of production-grade orchestration systems (Dagster/Airflow) on AWS.
Practical experience with prompt/LLM optimization (DSPy preferred).
Comfortable working with Git/PR metadata, code diffs, backfills, and performancecritical data pipelines.

Responsibilities

CES improvements: PR-level scoring, historical context, context-retrieval agent, automated score correction, training data prep from feedback.
Data/PR tracking: ingest PRs, link to commits/branches, track merges to main, backfills.
Orchestration & reliability: Dagster migration, retries, scheduling, monitoring, data quality alerts.
LLM/prompt optimization: DSPy-based prompt tuning, eval set creation, feedback-driven corrections, prompt cost/quality tradeoffs.
Metadata & classification: role/work-type classification, epic linking improvements, filters/explorer features.

Skills

Must have

Agentic coding: build retrieval agents that pull code context/diffs/history to improve scoring (aligns with CES Phase 3 and quality metric work).
Data pipelines: Dagster (preferred) or equivalent orchestrator; AWS-native pipelines (ECS/EventBridge/Lambda/S3/Glue experience a plus); robust backfills and retries.
LLM/Prompting: DSPy or similar prompt/policy optimization; prompt chaining; context packing; eval design and execution.
Data modeling & analytics: PR/commit linking, branch/main tracking, epic linking; quality/effort scoring signals; anomaly detection for data quality.
Backend integration: building services that ingest PR/commit metadata, compute CES/quality metrics, and expose them to UI/API.
Eval/feedback loops: design and run eval sets; collect user feedback; close the loop with automated/manual score correction.
Nice to have
Experience with code-scoring/effort or quality metrics; SonarQube integration.
Graph-ish linking across artifacts (Jira/PR/commit/branch) for epic/work-type classification.
Experience tuning performance/cost for LLM calls (OSS LLM evals, batching, caching).
Observability for pipelines (metrics/traces/logs) and data quality alerting.

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: 10119144
Position Id: 8868053
Posted 4 hours ago

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Senior Engineer (Agentic + Data/ML) - Remote

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Job Details

Skills

Summary

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