

Ariana.Digital
R-05 Claude Practice Bench : Claude Certified Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a "Claude Certified Developer" with a contract length of over 6 months, offering a pay rate of "unknown." Located in the NY Metro/NJ/Greater Philadelphia area, candidates need 1–5 years of software engineering experience, proficiency in Python/TypeScript, and hands-on experience with Claude or a comparable LLM.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
1000
-
🗓️ - Date
July 23, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Newtown, PA
-
🧠 - Skills detailed
#Python #R #Batch #ML (Machine Learning) #TypeScript #Debugging #JSON (JavaScript Object Notation) #Security #REST (Representational State Transfer) #API (Application Programming Interface) #AI (Artificial Intelligence) #REST API #CLI (Command-Line Interface)
Role description
About the Role
This is an invitation to join the myndQ Claude Talent Bench : Applied Engineering Track
Location: NY Metro / NJ / Greater Philadelphia (US Only - hybrid/remote-friendly) · Engagement type: Bench / non-binding · Exam code: CCDV-F
Link to latest guide copy from Anthropic :
• https://talent.myndq.ai/anthropic-claude-certifications/claude-certified-developer-foundations-exam-guide.pdf
• https://talent.myndq.ai/anthropic-claude-certifications/1783538178501.jpeg
Who this is for:
• AI/ML engineers, technical leads, and software engineers with 1–5 years of engineering experience and at least six months hands-on with Claude or a comparable LLM stack. You're proficient in Python and/or TypeScript, fluent with REST APIs and CLI tooling, and you build — not just prompt.
What the certification validates:
• Building agents and workflows with the Claude Agent SDK and agentic frameworks
• Integrating Claude via API and client SDKs (streaming, error handling, multi-format input)
• Operating Claude Code — CLAUDE.md, settings.json, Skills, plugins
• Prompt and context engineering to control model behavior and prevent context drift
• Designing evals, debugging failure modes, validating structured output
• Selecting model tiers and managing tokens, caching, and batch processing for cost/latency
• Applying secure-by-design guardrails against prompt injection and destructive actions
• Building custom tools, function schemas, and MCP servers
Exam snapshot
Items 53 (multiple-choice / multiple-response)
Time limit 120 minutes
Passing score 720 / 1,000 (scaled)
Exam fee $125 USD (candidate-paid, no markup)
Validity 12 months
Domain weighting: Applications & Integration dominates at 33.1%, followed by Model Selection & Optimization (16.8%), Agents & Workflows (14.7%), Prompt & Context Engineering (11.0%), Tools & MCPs (10.6%), Security & Safety (8.1%), Claude Code (3.1%), and Eval/Testing/Debugging (2.6%).
Recommended background: 1–5 years in software engineering; 6+ months with Claude or a comparable LLM system; working knowledge of agents, context management, and MCP. No mandatory prerequisites.
Why join the bench: Although thsu is not a job offer/posting, this is the credential myndQ maps directly against client engineering requests in regulated environments : API integration, MCP tooling, and secure agent construction for financial services and healthcare clients.
1. Pre-requisite is that you must be authorized to work and located in US, complete Round 1 myndQ video interview for this post, so we know your skills calibration.
1. You can then proceed to get Anthropic's' official certification. Anthropic Recommended background: 1–5 years in software engineering; 6+ months with Claude or a comparable LLM system; working knowledge of agents, context management, and MCP. No other mandatory prerequisites.
1. We prioritize of our bench for any new opportunities as they realize. Your Anthropic certification is yours to utilize to enhance your profile for outside opportunities too.
Responsibilities
Who this is for?
1. AI/ML engineers, technical leads, and software engineers with 1–5 years of engineering experience and at least six months hands-on with Claude or a comparable LLM stack.
1. You're proficient in Python and/or TypeScript, fluent with REST APIs and CLI tooling, and you build, not just prompt.
Skills
CLI Tooling
Token & Cost Optimization
Prompt Injection Defense
LLM Evaluation & Testing
Agentic Workflows
Prompt & Context Engineering
Model Context Protocol (MCP)
REST APIs
TypeScript
Python
Claude Code
Claude Agent SDK
\_\_\_\_\_\_\_\_\_\_\_\_\_\_
1. Pre-requisite is that you must be authorized to work and located in US, complete Round 1 myndQ video interview for this post, so we know your skills calibration.
1. You can then proceed to get Anthropic's' official certification. Anthropic Recommended background: 1–5 years in software engineering; 6+ months with Claude or a comparable LLM system; working knowledge of agents, context management, and MCP. No other mandatory prerequisites.
1. We prioritize of our bench for any new opportunities. Your Anthropic certification is yours to utilize to enhance your profile for outside opportunities too.
About the Role
This is an invitation to join the myndQ Claude Talent Bench : Applied Engineering Track
Location: NY Metro / NJ / Greater Philadelphia (US Only - hybrid/remote-friendly) · Engagement type: Bench / non-binding · Exam code: CCDV-F
Link to latest guide copy from Anthropic :
• https://talent.myndq.ai/anthropic-claude-certifications/claude-certified-developer-foundations-exam-guide.pdf
• https://talent.myndq.ai/anthropic-claude-certifications/1783538178501.jpeg
Who this is for:
• AI/ML engineers, technical leads, and software engineers with 1–5 years of engineering experience and at least six months hands-on with Claude or a comparable LLM stack. You're proficient in Python and/or TypeScript, fluent with REST APIs and CLI tooling, and you build — not just prompt.
What the certification validates:
• Building agents and workflows with the Claude Agent SDK and agentic frameworks
• Integrating Claude via API and client SDKs (streaming, error handling, multi-format input)
• Operating Claude Code — CLAUDE.md, settings.json, Skills, plugins
• Prompt and context engineering to control model behavior and prevent context drift
• Designing evals, debugging failure modes, validating structured output
• Selecting model tiers and managing tokens, caching, and batch processing for cost/latency
• Applying secure-by-design guardrails against prompt injection and destructive actions
• Building custom tools, function schemas, and MCP servers
Exam snapshot
Items 53 (multiple-choice / multiple-response)
Time limit 120 minutes
Passing score 720 / 1,000 (scaled)
Exam fee $125 USD (candidate-paid, no markup)
Validity 12 months
Domain weighting: Applications & Integration dominates at 33.1%, followed by Model Selection & Optimization (16.8%), Agents & Workflows (14.7%), Prompt & Context Engineering (11.0%), Tools & MCPs (10.6%), Security & Safety (8.1%), Claude Code (3.1%), and Eval/Testing/Debugging (2.6%).
Recommended background: 1–5 years in software engineering; 6+ months with Claude or a comparable LLM system; working knowledge of agents, context management, and MCP. No mandatory prerequisites.
Why join the bench: Although thsu is not a job offer/posting, this is the credential myndQ maps directly against client engineering requests in regulated environments : API integration, MCP tooling, and secure agent construction for financial services and healthcare clients.
1. Pre-requisite is that you must be authorized to work and located in US, complete Round 1 myndQ video interview for this post, so we know your skills calibration.
1. You can then proceed to get Anthropic's' official certification. Anthropic Recommended background: 1–5 years in software engineering; 6+ months with Claude or a comparable LLM system; working knowledge of agents, context management, and MCP. No other mandatory prerequisites.
1. We prioritize of our bench for any new opportunities as they realize. Your Anthropic certification is yours to utilize to enhance your profile for outside opportunities too.
Responsibilities
Who this is for?
1. AI/ML engineers, technical leads, and software engineers with 1–5 years of engineering experience and at least six months hands-on with Claude or a comparable LLM stack.
1. You're proficient in Python and/or TypeScript, fluent with REST APIs and CLI tooling, and you build, not just prompt.
Skills
CLI Tooling
Token & Cost Optimization
Prompt Injection Defense
LLM Evaluation & Testing
Agentic Workflows
Prompt & Context Engineering
Model Context Protocol (MCP)
REST APIs
TypeScript
Python
Claude Code
Claude Agent SDK
\_\_\_\_\_\_\_\_\_\_\_\_\_\_
1. Pre-requisite is that you must be authorized to work and located in US, complete Round 1 myndQ video interview for this post, so we know your skills calibration.
1. You can then proceed to get Anthropic's' official certification. Anthropic Recommended background: 1–5 years in software engineering; 6+ months with Claude or a comparable LLM system; working knowledge of agents, context management, and MCP. No other mandatory prerequisites.
1. We prioritize of our bench for any new opportunities. Your Anthropic certification is yours to utilize to enhance your profile for outside opportunities too.






