GEN AI ENGINEER

Job Title: GEN AI ENGINEER
Experience: +5 Years
Location: Remote (U.S. Working Hours)
Start: Immediate
purpose of the job We are seeking an AI/ML Engineer who will play a key role in designing,
developing, and integrating intelligent AI solutions across our platform. The role involves
working on a variety of AI initiatives — from model experimentation and fine-tuning to building
intelligent agents and retrieval-augmented generation (RAG) systems. You will collaborate
closely with cross-functional teams to bring AI capabilities into production and ensure seamless
integration within our orchestration and application layers.
Responsibilities

• Design, implement, and optimize AI agents leveraging frameworks such as LangChain,
  

LlamaIndex, or Haystack.

• Build and maintain RAG (Retrieval-Augmented Generation) pipelines combining LLMs,
  

embeddings, and vector search.

• Develop and fine-tune ML and NLP models for internal use cases, work with vector databases
  
  

and design efficient retrieval workflows.

• Collaborate with other product teams to integrate AI components into the orchestration layer
  

and business systems.

• Implement APIs and microservices that expose AI functionalities for broader system use.
• Experience of context & prompt engineering, model evaluation, and response optimization.
• Evaluate, benchmark, and monitor models using standard metrics and observability tools.
• Stay up to date with the latest trends in AI frameworks, LLMs, and orchestration technologies.
  

Job Requirements Education & Experience

• 5+ years of experience in Product development and AI/ML or NLP solution development.
• Strong coding proficiency in Python with practical experience in libraries like FastAPI, Pandas,
  

PyTorch, TensorFlow, or Transformers.

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• Experience with LLM frameworks and strong understanding of retrieval systems, embeddings,
  

and vector databases.

• Hands-on experience with RESTful API development, microservices, and containerized
  

deployments (Docker/Kubernetes).

• Familiarity with cloud AI services such as GCP Vertex AI (preferred) or AWS Bedrock, Azure
  

OpenAI etc..

• Exposure to data pipelines, preprocessing, and production-grade model deployment. good to
  

have skills

• Experience building multi-agent systems or orchestrated AI workflows.
• Familiarity with MLOps, CI/CD, and model lifecycle management.
• Contributions to open-source AI/ML projects or custom toolkits.
• Understanding of monitoring, cost optimization, and performance tuning for AI workloads.