Generative AI Specialist

Overview

Hybrid
$70 - $80
Contract - W2
Contract - 12 Month(s)

Skills

GenAI application development.
APIs for LLM
GPU resource optimization
Python and ML/LLM tooling

Job Details

Position Title: Generative AI Specialist
Duration: 12 months Contract
Client Location: Jersey City, NJ (Hybrid - Likely 3 days a week)
Job Description:
  • Seeking a GenAI Platform Specialist to lead a strategic engagement focused on enabling enterprise-scale GenAI application development.
  • The specialists will directly collaborate with technical teams to build robust GenAI platform capabilities, ensuring readiness at the application layer and maximizing ROI on GPU infrastructure.
  • The ideal candidate will possess both strategic architectural experience and hands-on implementation skills, with deep expertise in GenAI technologies, platform engineering, and developer enablement.
Key Responsibilities:
Platform Architecture & Design
  • Develop scalable reference architectures for GenAI applications.
  • Define reusable design patterns and workload distribution strategies.
  • Build proof-of-concept implementations to validate platform architecture.
Developer Tooling & Enablement
  • Design developer toolkits and libraries for GenAI development.
  • Build standardized APIs for LLM interactions and operations.
  • Create accelerators, templates, and documentation for fast prototyping.
LLM Engineering Best Practices
  • Design evaluation frameworks for model performance and quality.
  • Implement prompt management and optimization strategies.
  • Establish best practices for model selection, fine-tuning, and QA workflows.
Governance & Compliance
  • Adapt existing regulatory frameworks to GenAI use cases.
  • Build model risk management processes and audit trail capabilities.
  • Create documentation templates for compliance and oversight.
Performance & Cost Optimization
  • Define GPU resource optimization strategies for multi-tenant environments.
  • Create performance benchmarking, monitoring, and cost management tools.
  • Design optimization strategies tailored to specific workloads.
Production Operations & Deployment
  • Build production-ready deployment pipelines for LLM applications.
  • Define observability, monitoring, and incident response standards.
  • Create runbooks and enterprise integration frameworks.
Key Support Activities:
  • Production-ready GenAI platform components and tools.
  • Reference implementations and documented architectural patterns.
  • Standardized developer toolkits, templates, and libraries.
  • Evaluation and compliance frameworks aligned with company policies.
  • Collaborative code and technical documentation for knowledge transfer.
Required Qualifications:
  • 7+ years of experience in enterprise software/platform engineering.
  • Proven expertise in GenAI technologies (LLMs, transformers, vector DBs, etc.).
  • Strong experience with cloud infrastructure and GPU resource optimization.
  • Proficiency in Python and ML/LLM tooling (e.g., LangChain, HuggingFace, PyTorch).
  • Deep understanding of MLOps, model evaluation, and compliance in AI.
  • Experience building developer tooling and reusable code frameworks.
  • Excellent communication skills and ability to work in highly collaborative environments.
Preferred Qualifications:
  • Experience in regulated industries (finance, healthcare, etc.).
  • Familiarity with enterprise security and compliance controls for AI.
  • Previous consulting or client-facing engineering experience.
Engagement Model:
  • Hands-on coding, strategic design, and direct collaboration with internal teams.
  • Knowledge transfer as a key engagement objective.
  • On-site presence for collaborative development.
  • Iterative delivery of working prototypes and production-ready components.
Success Metrics:
  • Delivery of functional, scalable GenAI platform components.
  • Reduction in development time through reusable assets.
  • Independent implementation success by company teams.
  • Measurable improvements in productivity and infrastructure utilization.
Best Regards,

Balaji Nagaraj

Lead Technical Recruiter

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