Technology Lead | OpenSystem | Python - OpenSystem

IMCS Group Inc

  • Englewood, CO
  • 30+ days ago
  • Remote

    Highlights

    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. 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.

    Numbers & Facts

    LocationEnglewood, CO (
    Remote
    )

    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.

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