Gen AI Engineer

Remote • Posted 3 hours ago • Updated 3 hours ago
Contract W2
No Travel Required
Remote
Depends on Experience
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Job Details

Skills

  • Gen AI
  • LLMs
  • agentic frameworks
  • Semantic Kernel
  • Copilot Studio
  • Autogen
  • Azure services
  • PAAS
  • Azure AI Foundry
  • scripting
  • data manipulation
  • NumPy
  • Pandas
  • Matplotlib
  • Scikit Learn
  • MCP Server
  • Hugging Face Transformers
  • OpenAI APIs

Summary

Position Title: Gen AI Engineer

Location: Redmond, WA (Remote)

Role Type: Contract

Implementation Partner: HCL America

Visa s: OPT EAD/STEMEAD/TN/E3

Job Description:

Looking for GenAI / Agentic Engineers across junior and senior levels to design, build, and deploy AI applications leveraging LLMs and agentic frameworks. You ll handle all phases of the SDLC and work with stakeholders to create reliable, scalable AI solutions. Senior engineers will lead design and customer interactions; junior engineers will focus on model training, fine-tuning, and data preparation.

Responsibilities:

  • Develop AI solutions using frameworks such as Microsoft Agent Framework Autogen, Semantic Kernel, Copilot Studio
  • Implement data science / machine learning algorithms defined by Solution Architects.
  • Follow all SDLC phases: requirements, design, development, testing, deployment, and maintenance.

Required Skills

  • Hands-on working experience on Azure AI Foundry and Azure services/PAAS.
  • Python (scripting, data manipulation); familiarity with NumPy, Pandas, Matplotlib, Scikit Learn etc..
  • GenAI / Agent frameworks: Autogen, Semantic Kernel, Azure AI Foundry, Azure OpenAI,
  • Understanding of machine learning fundamentals: supervised vs. unsupervised learning, neural networks, NLP.
  • Familiarity with GenAI tools: MCP Server, Hugging Face Transformers, OpenAI APIs, and diffusion models (for image generation).
  • Ability to work across the SDLC with clean code, testing, and documentation.

Nice-to-Have

  • Experience with AutoGen / LangGraph multi-agent patterns and orchestration.
  • Knowledge of RAG pipelines, vector databases, prompt optimization, and safety/guardrails.
  • Exposure to MLOps (model versioning, deployment, monitoring).
  • Cloud certifications (Microsoft Azure) is a plus.

What You ll Deliver

  • Production-ready GenAI/Agentic applications.
  • Fine-tuned models and reproducible experiments.
  • Clear documentation, test coverage, and deployment pipelines.
  • Regular updates on project status and deliverables to stakeholders.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10411276
  • Position Id: 8944398
  • Posted 3 hours ago

Company Info

About K-Tek Resourcing LLC

Vision

To be a trusted partner and advisor to our customers

Mission

At K-Tek we believe in understanding the specific needs of the customer and tailor-creating innovative solutions to meet these needs. We invest in our employees and customers. We build a relation of trust with our customers through empathy, solutions and being the first time right.

Who We Are & What We Do

K-Tek Resourcing is a consulting organization with offices in Houston TX and St. Paul, MN. It is supported by 2 global delivery centers, located in India. With its global employee strength of over 250, K-Tek has been supporting its clients for over 9 years. We have been consistently achieving a growth of 30% Year on Year. We have an extensive experience of working in domains including BFSI, Retail, Healthcare and Pharma, Oil & Gas, Travel & Hospitality and Insurance. The technologies we service are IT Infrastructure, Mobile Technologies, Cloud & Big Data Solutions. We understand the needs of our customers and provide them with customized solutions and resources with the tenet of being the "First Time Right".

Values

-Commitment to our customers success through Integrity

-Excellence through Quality

-Growth through customer value creation

About_Company_One
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