Technology Lead | OpenSystem | Python - OpenSystem

IMCS Group Inc
  • Englewood, CO
  • Remote
  • Quick Apply
24 days ago

Job Description

Company Description: IMCS Group is one of the fastest growing MWBE (Minority Woman Owned Enterprise) staffing firms in the U.S. We focus on bringing a Diversity Recruitment approach to Fortune 500 companies within North America and EMEA region contingent labor programs.  IMCS Group excels in providing top talent in IT, Healthcare, Engineering, Finance, Light Industrial, Contact Center, and Clerical.  We have offices in the US, Canada, Mexico, and India in which we can provide support to our clients.

Description: Job title: AI Engineer (CAN submit Visa dependent profiles)
Work Location: Denver(CO)
Vendor Rate: *** USD
Minimum years of experience: 8 TO 10
Would you require the candidates to meet you for in person interview? NO
Is Skype/WebEx interview,OK? OK
Is this onsite/remote position: ONSITE
If onsite, will you be considering relocation candidates: Yes
Does this position require Visa independent candidates only? No

Job Description:
Role Overview

We are looking for a Senior AI / GenAI Engineer with strong experience in production-grade ML systems, Generative AI (LLMs, RAG, Agents), and enterprise automation. The ideal candidate will have hands-on expertise in deploying scalable AI systems, ensuring reliability, monitoring, and governance, and working across domains such as healthcare or enterprise IT operations.

Key Responsibilities

1. GenAI & LLM Engineering
Design and implement RAG pipelines using vector stores (Pinecone, FAISS, etc.)
Build and deploy LLM-based applications using OpenAI, Claude, LLaMA, or similar
Develop multi-agent systems (LangChain, LangGraph, CrewAI, Autogen)
Optimize prompts, retrieval strategies, and model performance for production use

2. ML Engineering & Data Science
Build and deploy ML models across:
Classification, Regression, NLP, Time-series, and Anomaly Detection
Perform EDA, feature engineering, and experiment design
Implement A/B testing frameworks and performance evaluation pipelines

3. MLOps & Productionization
Implement end-to-end ML lifecycle:
Model training, testing, deployment, monitoring, and rollback
Use tools like MLflow, CI/CD pipelines (GitHub Actions/Azure DevOps)
Ensure model versioning, reproducibility, and governance
Manage online & batch inference systems

4. Observability & Reliability
Build monitoring systems for:
Model drift
Performance degradation
Hallucination detection in LLMs
Define incident response and rollback strategies
Maintain dashboards and alerting frameworks

5. AI Safety & Compliance
Implement AI guardrails:
PII/PHI detection
Content filtering
Prompt injection defense
Ensure compliance with regulatory standards (e.g., HIPAA)
6. Cloud & Infrastructure

Deploy solutions on AWS, GCP, or Azure
AWS Bedrock, SageMaker
GCP Vertex AI
Azure OpenAI / AI Foundry
Build scalable infra using Docker, Kubernetes, Terraform
7. Enterprise Automation (RPA Integration)

Design and support RPA workflows using Automation Anywhere / UiPath
Integrate AI/ML models into automation pipelines
Manage bot lifecycle, orchestration, and governance
8. Collaboration & Leadership

Work with product, data, and engineering teams to deliver scalable solutions
Mentor junior engineers and review technical designs
Create documentation (PDDs, SDDs, architecture designs)
Required Skills

Core Technical Skills
Strong Python development (FastAPI, ML libraries)
ML frameworks: PyTorch / TensorFlow / Scikit-learn
GenAI stack: OpenAI, Claude, LLaMA, Hugging Face
RAG systems and vector databases (Pinecone, FAISS, etc.)
MLOps & Systems

MLflow, model registry, CI/CD pipelines
Experiment tracking and automated testing
Deployment patterns (batch + real-time inference)
Data & APIs

SQL, REST/SOAP APIs
Experience with enterprise systems (SAP, Salesforce, etc. is a plus)

Nice to Have
Healthcare domain experience (HIPAA compliance, clinical or claims data)
Experience with agentic workflows & human-in-the-loop systems
Hands-on experience in cost optimization for LLM workloads
RPA certifications (Automation Anywhere / UiPath)

Custom Fields:
Name: Intake Call Completed
Value: true

Name: Intake Call Requested
Value: true



EEOC Disclaimer: IMCS Group is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. IMCS Group is committed to maintaining an inclusive workforce, where employees are hired, retained, compensated, and promoted based on their contributions to our Company.

Numbers & Facts

LocationEnglewood, CO (
Remote
)

Skills

  • A/B Testingunmatched
  • Amazon Web Services (AWS)unmatched
  • Artificial Intelligence (AI)unmatched
  • Automationunmatched
  • Call Centersunmatched
  • Clinical Dataunmatched
  • Continuous Deployment/Deliveryunmatched
  • Continuous Integrationunmatched
  • Customer Support/Serviceunmatched
  • Data Scienceunmatched
  • DevOpsunmatched
  • Diversity Recruitingunmatched
  • Experiment Designunmatched
  • Financeunmatched
  • Fortune 500 Customersunmatched
  • GCP (Good Clinical Practices)unmatched
  • GitHubunmatched
  • HIPAA (Health Insurance Portability and Accountability Act)unmatched
  • Health Information Technologyunmatched
  • Healthcareunmatched
  • Leadershipunmatched
  • Mentoringunmatched
  • Microsoft Windows Azureunmatched
  • Performance Analysisunmatched
  • Performance Modelingunmatched
  • Performance Reviewsunmatched
  • Python Programming/Scripting Languageunmatched
  • Reporting Dashboardsunmatched
  • SAPunmatched
  • Salesforce.comunmatched
  • Systems Reliabilityunmatched
  • Systems Scalabilityunmatched
  • Technical Leadershipunmatched
  • Technical/Engineering Designunmatched

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