Overview
Remote
Depends on Experience
Full Time
Skills
Vector DB
RAG Pipeline
PySpark
Python
GEN AI
Generative AI
AI
ML
Agentic AI
Azure OpenAI
AWS Bedrock
Google Vertex AI
LLM
Job Details
Role :: Gen AI Engineer/Lead
Location :: Remote
Type :: Fulltime
Job Description
Must Have Technical/Functional Skills
- Programming languages (Python / PySpark)
- Machine learning algorithms and architectures
- Vector DB, RAG Pipeline - Architecting and implement RAG pipelines, integrating enterprise data with retrieval layers and language models.
- Agentic AI System - Building and scaling Agentic AI systems capable of autonomous task planning, execution, and feedback loops.
- Experience in Fine-tuning or training language models using enterprise datasets, optimizing for accuracy, efficiency, and business alignment.
- Guardrails - Design and implement guardrails for AI safety, including hallucination detection, prompt policy enforcement, and access controls.
- Agile Development - Collaborate cross-functionally using Agile workflows and contribute to rapid prototyping, iteration, and deployment
- Experience in LLM s, Prompt Engineering, RLHF, and monitoring frameworks
- Experience with cloud AI ecosystems: Azure OpenAI, AWS Bedrock, Google Vertex AI
- Natural Language Processing (NLP) techniques (text analysis, summarization)
Roles & Responsibilities
- Interact with customers to understand requirements
- Design, develop, and deploy AI / GenAI / Agentic systems.
- Integrate machine learning models / LLM into applications.
- Optimize and monitor AI system performance.
- Ensure system scalability and reliability.
- Collaborate with offshore team, data scientists and MLOps engineers.
JOB DESCRIPTION 2
Role :: GEN AI Lead/Architect
Location :: Remote
Type :: Fulltime
Job Description
Must Have Technical/Functional Skills
- Programming languages (Python / PySpark)
- Machine learning algorithms and architectures
- Vector DB, RAG Pipeline - Architecting and implement RAG pipelines, integrating enterprise data with retrieval layers and language models.
- Agentic AI System - Building and scaling Agentic AI systems capable of autonomous task planning, execution, and feedback loops.
- Experience in Fine-tuning or training language models using enterprise datasets, optimizing for accuracy, efficiency, and business alignment.
- Guardrails - Design and implement guardrails for AI safety, including hallucination detection, prompt policy enforcement, and access controls.
- Agile Development - Collaborate cross-functionally using Agile workflows and contribute to rapid prototyping, iteration, and deployment
- Experience in LLM s, Prompt Engineering, RLHF, and monitoring frameworks
- Experience with cloud AI ecosystems: Azure OpenAI, AWS Bedrock, Google Vertex AI
- Natural Language Processing (NLP) techniques (text analysis, summarization)
Roles & Responsibilities
- Present and discussion with customers on solution and proposals
- Interact with customers to understand requirements
- Design, develop, and deploy AI / GenAI / Agentic systems.
- Conduct exploratory data analysis (EDA) to understand data characteristics.
- Optimize performance and efficiency of ML Models/LLMs.
- Work with hardware and software infrastructure for LLMs.
- Collaborate with researchers, data scientists, and prompt/AI/data engineers.
- Communicate insights to inform business decisions
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