Senior Generative AI Engineer - Fully Remote

Iris Software Inc. United State
Remote
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AI Summary

Design and deploy advanced GenAI solutions. Collaborate cross-functionally. Expertise in LLMs, agentic frameworks, and Python. Remote role.

Key Highlights
Design complex GenAI systems
Optimize LLM performance
Collaborate with cross-functional teams
Key Responsibilities
Design and build advanced GenAI solutions
Develop and orchestrate agentic workflows
Implement multi-agent systems
Optimize LLM performance
Build end-to-end AI systems
Ensure robustness and reliability in production
Collaborate with cross-functional teams
Technical Skills Required
Python PyTorch LLMs
Benefits & Perks
Fully remote work

Job Description


We have an exciting opportunity with Iris Software for a Generative AI Engineer role with one of our direct clients (It’s a fully remote role)


Skill : Generative AI Engineer , Python , Pytorch , Langchain / Langgraph , (Google Gemini adk is Must)

Working Model: Fully remote role


We are seeking a highly skilled GenAI Engineer / Architect with deep expertise in designing and deploying complex AI-driven systems. The ideal candidate will bring strong experience in agentic frameworks, LLM ecosystems, and scalable AI solutions, along with hands-on development skills


Key Responsibilities

Design and build advanced GenAI solutions for complex use cases with high accuracy and scalability

Develop and orchestrate agentic workflows using both pro-code and low-code platforms

Implement multi-agent systems, tool usage, memory, and orchestration pipelines

Optimize LLM performance using advanced prompting, fine-tuning, and evaluation techniques

Build end-to-end AI systems, including backend pipelines and frontend integrations

Ensure robustness, reliability, and observability in production deployments

Collaborate with cross-functional teams to translate business problems into AI-driven solutions


Required Skills & Knowledge

  • Proficiency in Python, with experience in Java or R as a plus
  • Hands-on experience with ML frameworks: PyTorch, Keras, scikit-learn
  • Strong foundation in statistics, machine learning, and mathematical modeling
  • Ability to build and evaluate ML models end-to-end
  • Excellent communication and collaboration skills
  • Experience working in cross-functional agile teams


GenAI & LLM Expertise

Strong experience with google gemini adk

Hands-on knowledge of:

Model training and fine-tuning

Prompt engineering (advanced techniques like CoT, ReAct, RAG, etc.)

Assistants API / Agents / Function Calling



Thanks and Regards,

Ankit Grover

Sr. Executive - TA

Iris Software

200 Metroplex Drive, Suite #300, Edison, NJ 08817

Email : [email protected]


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