Gen AI Consultant

Overview

On Site
Depends on Experience
Full Time

Skills

Programming: Strong Python development experience GenAI Techniques: Prompt engineering
RAG
re-ranking
agentic AI Frameworks: LangChain (or LangGraph)
vector databases (e.g.
Pinecone) AWS: Bedrock
SageMaker pipelines
Lambda
API Gateway
S3 Data Expertise: Experience with unstructured data
data lineage
and data governance processes Automation: Proven ability to automate data workflows using GenAI

Job Details

Role: Gen AI Consultant

Locations: Malvern, PA / Charlotte, NC / Jersey City NJ

Full Time Role

GenAI Solutioning

We are seeking a hands-on GenAI expert to lead the development of intelligent, automated data solutions with a strong focus on data lineage, governance, and compliance.

The ideal candidate will leverage AWS and modern LLM frameworks to build scalable, production-ready AI systems that transform unstructured data into actionable insights.


Key Responsibilities

Design and implement GenAI-powered workflows for unstructured data analysis and automation
Build agentic AI systems using LangChain and vector databases
Develop and deploy Retrieval-Augmented Generation (RAG) pipelines with prompt engineering and re-ranking
Integrate solutions with AWS services (Bedrock, SageMaker, Lambda, etc.)
Ensure data lineage, governance, and compliance are embedded in AI workflows
Collaborate with cross-functional teams to deliver scalable, production-ready systems

Must-Have Skills
Programming: Strong Python development experience
GenAI Techniques: Prompt engineering, RAG, re-ranking, agentic AI
Frameworks: LangChain (or LangGraph), vector databases (e.g., Pinecone)
AWS: Bedrock, SageMaker pipelines, Lambda, API Gateway, S3
Data Expertise: Experience with unstructured data, data lineage, and data governance processes
Automation: Proven ability to automate data workflows using GenAI

Nice-to-Have
Familiarity with MLOps practices (model monitoring, versioning, CI/CD)
UI prototyping with Streamlit or similar tools"

Regards

Sagar Tak

Account Manager

Diverse Lynx LLC

Phone: ext 310

Email: | URL:

for our open requirements, please visit

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