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Vector Tracing Jobs (NOW HIRING)

Senior AWS Agentcore Platform Engineer

Reading, PA · Hybrid

$100.40K - $137.80K/yr

Tracing & Logging: Implement distributed tracing and structured logging to capture LLM decision ... Extend tagging taxonomy to capture costs across agent runtimes, MCP servers, vector databases, and ...

Senior AWS Agentcore Platform Engineer

Exton, PA · Hybrid

$100.90K - $138.50K/yr

Tracing & Logging: Implement distributed tracing and structured logging to capture LLM decision ... Extend tagging taxonomy to capture costs across agent runtimes, MCP servers, vector databases, and ...

AI Architect Agentic Generative AI

Dallas, TX · On-site

$62.50 - $82.50/hr

Implement advanced RAG pipelines with optimized chunking, reranking, grounding, and hybrid/vector ... Establish observability and reliability frameworks -- including evaluation pipelines, tracing, cost ...

Senior Agentic Engineer

Madison, WI · On-site

$105.40K - $144.70K/yr

Responsibilities : • Lead the design and implementation of multi-agent systems using LLMs, vector ... tracing, and behavioral analytics to ensure full visibility into autonomous operations. • ...

Senior Agentic Engineer

San Francisco, CA · On-site

$123.10K - $169.10K/yr

Responsibilities : • Lead the design and implementation of multi-agent systems using LLMs, vector ... tracing, and behavioral analytics to ensure full visibility into autonomous operations. • ...

AI Architect

Torrance, CA · On-site

$65.75 - $86.75/hr

Develop advanced RAG pipelines leveraging vector databases Chroma DB Milvus FAISS and embedding ... Define observability baselines telemetry tracing evaluation metrics and rollout strategies for safe ...

AI/ML Engineer

Scottsdale, AZ · Hybrid

$65 - $67/hr

... vector indexing, retrieval strategies, re-ranking and context injection. • Integrate and instrument LangChain for composable chains, agents and tooling; use Langfuse (or equivalent tracing) to ...

... tracing, Prometheus Databases Proficient PostgreSQL, embeddings/vector search Cloud/Infrastructure Proficient GCP (BigQuery, GCS), Kubernetes, CCM Integration & Data: Skill Proficiency Why It ...

Agentic AI Developer

Columbia, MD · On-site

$69.55K - $125.73K/yr

Develop observability, tracing, and evaluation pipelines for AI workflows and agent performance ... Familiarity with REST APIs, vector databases, and modern backend architectures. Strong ...

Develop observability, tracing, and evaluation pipelines for AI workflows and agent performance ... Familiarity with REST APIs, vector databases, and modern backend architectures. Strong ...

Agentic AI Developer

Chantilly, VA · On-site

$69.55K - $125.73K/yr

... tracing, and evaluation pipelines for AI workflows and agent performance. • Containerize and ... APIs, vector databases, and modern backend architectures. • Strong understanding of prompt ...

Kubernetes, serverless, stream processing, feature stores, vector search. The Role You'll own the ... Reliability engineering: define SLIs/SLOs, implement tracing, timeouts, circuit breakers, budgets ...

$113.40K - $149.40K/yr

Build and maintain data ingestion pipelines and vector databases (e.g., Pinecone, Weaviate) to support Retrieval-Augmented Generation for AI agents. * Implement tracing (e.g., LangSmith, Langfuse ...

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How much do vector tracing jobs pay per hour?

As of May 28, 2026, the average hourly pay for vector tracing in the United States is $19.70, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $23.56 per hour, depending on experience, location, and employer.

What is a Vector Tracing job?

A Vector Tracing job involves converting raster images (such as JPG or PNG) into scalable vector graphics (such as SVG, AI, or EPS). This process ensures that the image can be resized without losing quality, making it ideal for logos, illustrations, and print designs. Designers use software like Adobe Illustrator or CorelDRAW to manually redraw the image using vector paths. This service is commonly used in branding, embroidery, engraving, and high-quality printing.

What are the key skills and qualifications needed to thrive in the Vector Tracing position, and why are they important?

To thrive in Vector Tracing, you need strong proficiency in graphic design principles, attention to detail, and the ability to accurately convert raster images to vector format. Familiarity with industry-standard software like Adobe Illustrator or CorelDRAW is essential, and knowledge of different vector file types can be an advantage. Excellent communication skills, time management, and the ability to interpret client feedback set top professionals apart. These skills ensure precise, high-quality vector graphics that meet specific client needs and project deadlines.

What are the typical daily responsibilities of a Vector Tracing professional?

As a Vector Tracing professional, your daily responsibilities generally include converting raster images—such as logos, illustrations, or photographs—into clean, scalable vector graphics using specialized software. You often review client specifications, make revisions based on feedback, and prepare final files in various formats suitable for print, web, or production use. Collaboration with designers, printers, or marketing teams can also be part of your workflow, especially when ensuring consistency across branding materials. Managing multiple projects simultaneously and meeting tight deadlines are common challenges you may encounter in this role.
What are the most commonly searched types of Vector Tracing jobs? The most popular types of Vector Tracing jobs are:
What states have the most Vector Tracing jobs? States with the most job openings for Vector Tracing jobs include:
Infographic showing various Vector Tracing job openings in the United States as of May 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $40,972 per year, or $19.7 per hour.
Senior AWS Agentcore Platform Engineer

Senior AWS Agentcore Platform Engineer

Highbrow

Reading, PA • Hybrid

$100.40K - $137.80K/yr

Other

Posted 20 days ago


Job description

Role: Senior AWS Agentcore Platform Engineer (Client: )
Position Type: Contract to hire after initial 6 months on C2H


Location: Reading, PA or Exton, PA (Hybrid 2-3 days a week from office)


Job Description:

1. Observability & Distributed Tracing
Gap Analysis: Assess AWS CloudWatch, X-Ray, Bedrock logging, and AgentCore traces against agentic workflow requirements; produce a comprehensive gap analysis and lead the setup of observability within Dynatrace.

Validation Pipelines: Design and implement post-deployment validation pipelines for agents and Model Context Protocol (MCP) servers, ensuring deployment health and successful tool registration.

Tracing & Logging: Implement distributed tracing and structured logging to capture LLM decision logic, tool selections, sub-agent calls, and MCP interactions.

Architecture Strategy: Evaluate LangFuse and LiteLLM proxies against AWS-native solutions; deliver a target-state observability architecture recommendation.

2. Cost Tracking & TCO (Total Cost of Ownership)
Taxonomy Expansion: Extend tagging taxonomy to capture costs across agent runtimes, MCP servers, vector databases, and Bedrock token consumption per namespace.

Cost Modeling: Design a granular cost visibility model to aggregate expenses for agents, MCPs, and LLM tokens by team and department.

Dashboards & Alerting: Build CloudWatch (or equivalent) dashboards for per-team spending; configure AWS Budgets with proactive alerting thresholds.

Automation: Automate cost reporting via email and Microsoft Teams, incorporating anomaly detection rules to identify spend spikes.

3. Monitoring & Incident Management
Alerting Framework: Define and implement P1 P4 alerting rules covering deployment failures, runtime errors, tool invocation failures, and MCP connectivity issues.

Incident Integration: Integrate alert notifications with Microsoft Teams and email, utilizing resource ownership tags for intelligent routing.

Operational Excellence: Author detailed runbooks for every alert; publish and maintain these in Confluence to facilitate developer self-service resolution.

Stack Evaluation: Compare AWS-native vs. third-party monitoring stacks to deliver a long-term recommendation aligned with the broader observability architecture.

4. Security & Governance
Risk Assessment: Evaluate current IAM and tagging strategies for multi-team isolation; identify scalability gaps and potential security risks.

Policy Engines: Assess the Cedar policy engine (AgentCore) for fine-grained tool access control and document gaps for enterprise-scale deployment.

Identity Architecture: Design a scalable Attribute-Based Access Control (ABAC) identity model to ensure multi-team isolation without IAM policy sprawl; deliver production-ready Terraform modules.