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Agentic Ai Engineer

Diverse Lynx, LLC

  • Minnetonka Mills, MN
  • 4 days ago
  • $50 Per Hour

Highlights

This role is well-suited for professionals who enjoy solving complex business problems at the intersection of data, machine learning, software engineering, and customer-facing deployments. We are seeking an experienced AI/ML & Forward Deployed Engineer with 8+ years of engineering experience to design, develop, and deploy production-grade AI/ML and Generative AI solutions.

Numbers & Facts

LocationMinnetonka Mills, MN

Description

Job Description

Role: AI/ML & Forward Deployed Engineer (Agentic AI Engineer)

Location: Minnetonka Mills, MN

Experience: 8+ Years

Employment Type: Contract

Pay rate - $50/hr on c2c or $40/hr on w2

Role Overview

We are seeking an experienced AI/ML & Forward Deployed Engineer with 8+ years of engineering experience to design, develop, and deploy production-grade AI/ML and Generative AI solutions. The ideal candidate combines expertise in applied machine learning, software engineering, and stakeholder engagement to deliver scalable, secure, and business-focused AI systems.

This role is well-suited for professionals who enjoy solving complex business problems at the intersection of data, machine learning, software engineering, and customer-facing deployments.

Key Responsibilities

  1. AI Use-Case Discovery & Forward Deployment

  • Collaborate with business stakeholders, product teams, and customers to identify AI opportunities.

  • Translate business problems into well-defined AI/ML use cases with measurable success criteria.

  • Conduct technical discovery sessions to assess:

  • Data readiness

  • Technical feasibility

  • Integration requirements

  • Operational risks

  • Develop rapid prototypes and pilot solutions.

  • Gather user feedback and iteratively improve deployed solutions.

  1. Applied Machine Learning Engineering

  • Design, develop, and deploy machine learning solutions including:

  • Classification

  • Regression

  • Ranking

  • Forecasting

  • Anomaly Detection

  • Natural Language Processing (NLP)

  • Perform:

  • Feature engineering

  • Error analysis

  • Model optimization

  • Performance tuning

  • Implement robust model evaluation strategies:

  • Offline metrics

  • Cross-validation

  • Experimentation

  • A/B Testing

  1. Generative AI / LLM Engineering

  • Build and productionize Retrieval-Augmented Generation (RAG) solutions.

  • Develop:

  • Document ingestion pipelines

  • Chunking strategies

  • Embedding generation

  • Retrieval optimization

  • Re-ranking techniques

  • Response grounding

  • Implement GenAI guardrails including:

  • Prompt engineering

  • Tool/Function Calling

  • Hallucination mitigation

  • Citation strategies

  • Fallback mechanisms

Agentic AI Engineering Responsibilities

  • Design and develop AI Agents and multi-agent systems.

  • Build AI-powered applications using Large Language Models (LLMs).

  • Integrate AI agents with:

  • APIs

  • Databases

  • Enterprise applications

  • Web services

  • Develop advanced prompt engineering strategies.

  • Implement Retrieval-Augmented Generation (RAG).

  • Connect AI agents with vector databases and enterprise knowledge bases.

  • Build REST APIs and microservices for AI applications.

  • Test, debug, and optimize AI agent performance.

  • Deploy AI applications using Docker and cloud platforms.

  • Work in Agile teams alongside AI Architects, Data Engineers, and UX teams.

  • Customize AI solutions for various industries.

  • Implement Responsible AI practices including safety, privacy, and content moderation.

Required Technical Skills

Programming

  • Python (Expert)
  • JavaScript / TypeScript
  • Java (Preferred)
  • C# (Preferred)

AI / Machine Learning

  • Machine Learning
  • Deep Learning
  • NLP
  • LLM Applications
  • Prompt Engineering
  • Agentic AI
  • Retrieval-Augmented Generation (RAG)
  • AI Evaluation Techniques

AI Frameworks

  • LangChain
  • OpenAI APIs
  • Azure OpenAI
  • PyTorch
  • TensorFlow

API Development

  • FastAPI
  • Flask
  • REST APIs
  • JSON/XML
  • Microservices

Databases

  • SQL
  • NoSQL
  • Vector Databases
  • Pinecone
  • Weaviate

Cloud & DevOps

  • Docker
  • CI/CD Pipelines
  • AWS
  • Azure
  • Google Cloud Platform (GCP)
  • AWS Lambda / Azure Functions

Version Control

  • Git
  • GitHub
  • GitLab
  • Bitbucket

Testing & Quality

  • PyTest
  • Postman
  • AI Model Evaluation
  • Unit Testing

Messaging & Event Streaming (Preferred)

  • Kafka
  • RabbitMQ
  • Amazon SQS

Monitoring & Logging

  • Python Logging
  • CloudWatch
  • Application Monitoring Tools

Required Qualifications

  • 8+ years of software engineering experience.
  • Strong experience developing production-grade AI/ML applications.
  • Hands-on experience with Generative AI and LLM-based solutions.
  • Experience building Agentic AI applications.
  • Strong understanding of machine learning lifecycle and deployment.
  • Experience integrating enterprise systems and APIs.
  • Excellent analytical and problem-solving skills.
  • Strong communication and client-facing experience.
  • Ability to work independently in fast-paced environments.

Preferred Qualifications

  • Experience deploying AI solutions in production environments.
  • Experience with cloud-native AI services.
  • Knowledge of AI governance and Responsible AI practices.
  • Exposure to multi-agent AI systems.
  • Consulting or customer-facing implementation experience.

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

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