What are the responsibilities and job description for the Principal AI Engineer position at Randstad Digital Americas?
Job Summary
We are seeking a high-caliber Principal AI Engineer for a contract engagement to accelerate the implementation of Agentic AI solutions. This is a ""builder"" role requiring a rare blend of deep Generative AI expertise, full-stack Python mastery, and AWS cloud
architecture. You will be responsible for moving AI from experimental prototypes to production-grade autonomous agents.
location: Mclean, Virginia
job type: Contract
salary: $73.92 - 81.81 per hour
work hours: 8am to 5pm
education: Bachelors
Responsibilities
Key Deliverables
Agentic Workflows: Design and deploy multi-agent systems using LLM orchestration frameworks (e.g., LangGraph, CrewAI) to automate complex cross-functional business processes, targeting measurable efficiency gains.
Production RAG: Build and optimize high-performance Retrieval-Augmented Generation pipelines using Amazon Bedrock and vector databases (e.g., OpenSearch, Pinecone), with clear latency and accuracy targets.
AI Integration: Develop robust FastAPI backends that make model outputs actionable for end-users. Collaborate with frontend engineers on React-based AI interfaces and streaming UI components.
Responsible AI & Guardrails: Implement prompt safety mechanisms, output filtering, bias evaluation, and content moderation to ensure production LLM systems meet security and compliance standards.
Engineering Excellence: Implement automated AI evaluation frameworks (e.g., Ragas, DeepEval), observability tooling (e.g., LangSmith, OpenTelemetry), and CI/CD pipelines for LLM prompts and code.
Qualifications
AI: Claude, GPT-series, Hugging Face Transformers, PEFT, and LLM orchestration frameworks (e.g., LangChain, LangGraph).
Agents: Experience with autonomous tool-use, function calling, and state management.
Backend: Python 3.10 , Pydantic, FastAPI, and asynchronous programming.
Cloud: Amazon Bedrock, SageMaker, Lambda (Serverless AI), and RDS/pgvector.
Observability: Experience with AI-specific monitoring, tracing, and evaluation tooling.
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
We are seeking a high-caliber Principal AI Engineer for a contract engagement to accelerate the implementation of Agentic AI solutions. This is a ""builder"" role requiring a rare blend of deep Generative AI expertise, full-stack Python mastery, and AWS cloud
architecture. You will be responsible for moving AI from experimental prototypes to production-grade autonomous agents.
location: Mclean, Virginia
job type: Contract
salary: $73.92 - 81.81 per hour
work hours: 8am to 5pm
education: Bachelors
Responsibilities
Key Deliverables
Agentic Workflows: Design and deploy multi-agent systems using LLM orchestration frameworks (e.g., LangGraph, CrewAI) to automate complex cross-functional business processes, targeting measurable efficiency gains.
Production RAG: Build and optimize high-performance Retrieval-Augmented Generation pipelines using Amazon Bedrock and vector databases (e.g., OpenSearch, Pinecone), with clear latency and accuracy targets.
AI Integration: Develop robust FastAPI backends that make model outputs actionable for end-users. Collaborate with frontend engineers on React-based AI interfaces and streaming UI components.
Responsible AI & Guardrails: Implement prompt safety mechanisms, output filtering, bias evaluation, and content moderation to ensure production LLM systems meet security and compliance standards.
Engineering Excellence: Implement automated AI evaluation frameworks (e.g., Ragas, DeepEval), observability tooling (e.g., LangSmith, OpenTelemetry), and CI/CD pipelines for LLM prompts and code.
Qualifications
AI: Claude, GPT-series, Hugging Face Transformers, PEFT, and LLM orchestration frameworks (e.g., LangChain, LangGraph).
Agents: Experience with autonomous tool-use, function calling, and state management.
Backend: Python 3.10 , Pydantic, FastAPI, and asynchronous programming.
Cloud: Amazon Bedrock, SageMaker, Lambda (Serverless AI), and RDS/pgvector.
Observability: Experience with AI-specific monitoring, tracing, and evaluation tooling.
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
Salary : $74 - $82