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AI Engineer/Agentic Workflow Platform
NTT America, Inc.
2 hours ago
Full-time
On-site
Rome, New York, United States
Who we are
We are looking for a hands‑on AI Engineer to help improve and scale an internal platform that enables engineering teams to ship faster and safer using AI-powered workflows.
This role is focused on practical AI engineering, not AI research and not pure platform architecture. You will work on agentic workflows, prompt engineering, evaluation pipelines, GitHub‑based automation, and developer tooling that helps teams adopt AI agents consistently across repositories.
You will join an existing initiative that already has working foundations in place. The immediate need is to strengthen, stabilise, and mature the current implementation through hands‑on engineering, especially in agent development, testing, evaluation, and workflow reliability.
This is an excellent fit for someone who already uses AI coding agents as part of their daily workflow and knows how to turn AI capabilities into reliable engineering tooling.
What you'll be doing
Build and improve AI workflows across repositories
Design agent workflows for docs, testing, code quality, reviews, and security
Create effective prompts and multi‑step interactions
Improve reliability and usability of agents
Use AI coding tools (e.g., Copilot, Cursor) to accelerate delivery
Design evaluation pipelines for prompts and agents
Build datasets with edge and adversarial cases
Add automated regression and behavior checks
Use code‑based and LLM‑based evaluators
Define quality gates before production
Build reusable templates and onboarding tools
Develop CLI/scripts for easy adoption
Maintain workflow catalog and integrations
Write clear docs and guides
Enable self‑service usage
Maintain GitHub Actions and CI/CD patterns
Ensure secure design (least privilege, secrets, OIDC)
Improve security controls and automation safety
Mitigate risks (prompt injection, data leaks)
Keep changes testable and production‑safe
What you'll bring along
BSc/MSc in Computer Science or related field
Minimum 3‑6+ years as a Platform Engineer
Strong hands‑on experience with Python for scripting, automation, evaluation tooling, or integrations
Practical experience building with LLMs, prompts, AI agents, or agentic workflows in real engineering or production contexts
Daily use of AI coding assistants or coding agents such as Copilot, Cursor, Kiro, Windsurf, Claude Code, or similar
Experience designing, testing, and iterating prompts for reliable task execution
Experience building evaluation or testing approaches for non‑deterministic AI outputs
Strong experience with GitHub Actions or equivalent CI/CD tooling, including reusable workflows and pipeline‑as‑code patterns
Experience working with YAML, Markdown, JSON, and configuration‑driven systems
Good understanding of authentication, authorisation, secrets handling, and least‑privilege access patterns
Ability to write clear technical documentation for developers
Strong hands‑on engineering mindset with the ability to improve existing implementations quickly and pragmatically
Preferred / Nice to Have
Experience with AI evaluation frameworks such as promptfoo, DeepEval, RAGAS, Azure AI Evaluation SDK, or similar
Experience with agentic frameworks such as LangChain, AutoGen, CrewAI, OpenAI Assistants API, or similar
Background in internal developer platforms, developer tooling, or developer experience engineering
Experience with docs‑as‑code and static documentation sites
Familiarity with infrastructure‑as‑code tools such as Terraform, Bicep, Pulumi, or CDK
Understanding of software supply chain security, dependency scanning, action pinning, and SBOM concepts
Awareness of AI safety concerns such as prompt injection, adversarial testing, and OWASP Top 10 for LLM
What’s in it for you New beginnings can be a challenge. We promise a smooth integration and a supportive mentor
Pick your working style: choose from Remote, Hybrid or Office work opportunities
Early bird or night owl? Our projects have different working hours to suit your needs
Nobody is born an expert. Sharpen your tech skills with our sponsored certifications, trainings and top e-learning platforms
We want you to stay healthy! Enjoy our Private Health Insurance – it’s custom‑made for you
A clear mind is a healthy mind. Attend individual coaching sessions or go one step further by joining our accredited Coaching School
Make the most of our epic parties or themed events – they’re lovingly designed for our people and their families
NTT DATA Romania is an equal opportunity employer and considers all applicants regardless to race, color, religion, citizenship, national origin, ethnicity, age, gender, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic.
Make this the place you grow Your unique talent is what matters. NTT DATA Romania is an equal opportunity employer and considers all applicants regardless to race, color, religion, citizenship, national origin, ethnicity, age, gender, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic.
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This role is focused on practical AI engineering, not AI research and not pure platform architecture. You will work on agentic workflows, prompt engineering, evaluation pipelines, GitHub‑based automation, and developer tooling that helps teams adopt AI agents consistently across repositories.
You will join an existing initiative that already has working foundations in place. The immediate need is to strengthen, stabilise, and mature the current implementation through hands‑on engineering, especially in agent development, testing, evaluation, and workflow reliability.
This is an excellent fit for someone who already uses AI coding agents as part of their daily workflow and knows how to turn AI capabilities into reliable engineering tooling.
What you'll be doing
Build and improve AI workflows across repositories
Design agent workflows for docs, testing, code quality, reviews, and security
Create effective prompts and multi‑step interactions
Improve reliability and usability of agents
Use AI coding tools (e.g., Copilot, Cursor) to accelerate delivery
Design evaluation pipelines for prompts and agents
Build datasets with edge and adversarial cases
Add automated regression and behavior checks
Use code‑based and LLM‑based evaluators
Define quality gates before production
Build reusable templates and onboarding tools
Develop CLI/scripts for easy adoption
Maintain workflow catalog and integrations
Write clear docs and guides
Enable self‑service usage
Maintain GitHub Actions and CI/CD patterns
Ensure secure design (least privilege, secrets, OIDC)
Improve security controls and automation safety
Mitigate risks (prompt injection, data leaks)
Keep changes testable and production‑safe
What you'll bring along
BSc/MSc in Computer Science or related field
Minimum 3‑6+ years as a Platform Engineer
Strong hands‑on experience with Python for scripting, automation, evaluation tooling, or integrations
Practical experience building with LLMs, prompts, AI agents, or agentic workflows in real engineering or production contexts
Daily use of AI coding assistants or coding agents such as Copilot, Cursor, Kiro, Windsurf, Claude Code, or similar
Experience designing, testing, and iterating prompts for reliable task execution
Experience building evaluation or testing approaches for non‑deterministic AI outputs
Strong experience with GitHub Actions or equivalent CI/CD tooling, including reusable workflows and pipeline‑as‑code patterns
Experience working with YAML, Markdown, JSON, and configuration‑driven systems
Good understanding of authentication, authorisation, secrets handling, and least‑privilege access patterns
Ability to write clear technical documentation for developers
Strong hands‑on engineering mindset with the ability to improve existing implementations quickly and pragmatically
Preferred / Nice to Have
Experience with AI evaluation frameworks such as promptfoo, DeepEval, RAGAS, Azure AI Evaluation SDK, or similar
Experience with agentic frameworks such as LangChain, AutoGen, CrewAI, OpenAI Assistants API, or similar
Background in internal developer platforms, developer tooling, or developer experience engineering
Experience with docs‑as‑code and static documentation sites
Familiarity with infrastructure‑as‑code tools such as Terraform, Bicep, Pulumi, or CDK
Understanding of software supply chain security, dependency scanning, action pinning, and SBOM concepts
Awareness of AI safety concerns such as prompt injection, adversarial testing, and OWASP Top 10 for LLM
What’s in it for you New beginnings can be a challenge. We promise a smooth integration and a supportive mentor
Pick your working style: choose from Remote, Hybrid or Office work opportunities
Early bird or night owl? Our projects have different working hours to suit your needs
Nobody is born an expert. Sharpen your tech skills with our sponsored certifications, trainings and top e-learning platforms
We want you to stay healthy! Enjoy our Private Health Insurance – it’s custom‑made for you
A clear mind is a healthy mind. Attend individual coaching sessions or go one step further by joining our accredited Coaching School
Make the most of our epic parties or themed events – they’re lovingly designed for our people and their families
NTT DATA Romania is an equal opportunity employer and considers all applicants regardless to race, color, religion, citizenship, national origin, ethnicity, age, gender, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic.
Make this the place you grow Your unique talent is what matters. NTT DATA Romania is an equal opportunity employer and considers all applicants regardless to race, color, religion, citizenship, national origin, ethnicity, age, gender, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic.
#J-18808-Ljbffr