Overview
On Site
BASED ON EXPERIENCE
Contract - W2
Contract - Independent
Skills
PYTHON
AGENTIC
LANGCHAIN
LANGGRAPH
LLAMAINDEX
RAG
RETRIEVAL AUGMENTED GENERATION
Job Details
In this role, you'll design and build sophisticated multi-agentic systems that leverage our enterprise or external data to deliver intelligent AI solutions impacting millions of customers. You'll go beyond traditional analytics to create autonomous agents that can reason, collaborate, and make decisions at scale. Every day you'll work with multiple stakeholders to design, develop and implement advanced AI agent architectures using frameworks like LangChain, LangGraph, CrewAI, etc. You'll code with AI tools and programming language like Python for delivering agentic workflows that automate decision making, tool use, reasoning and adaptive behavior. You would be required to integrate LLMs with traditional pipelines for hybrid intelligence solutions. You have the skills to create new models and develop agent orchestration systems that can dynamically allocate tasks and manage agent interactions.
JOB DUTIES: Here's what you can expect on a typical day:
" Advanced Prompt Engineering. Work with SMEs to create curated Prompts for the Agentic System.
" AI agent frameworks. Proficiently use Python and AI agent framework such as LangChain, LangGraph, Strands, etc. to build scalable Agentic applications.
Advanced AI & Design Patterns. Apply agent design patterns such as ReAct, Chain-ofThought, Tree of Thoughts to deliver efficiently designed Agentic systems.
" Build Scalable and Robust Codes. You will identify, develop, and implement advanced codes using efficient and scalable programming standards.
" Limitless Possibilities. You are passionate about learning and applying new techniques within GenAI that leads to innovations.
" Collaboration and Communication. You'll be part of a collaborative team, listening to client needs, then finding and brainstorming solutions with the team.
" Experience. You have 3+ years of experience in relevant skills gained and developed in the same or similar role.
TO SUCCEED IN THIS ROLE:
" You'll have a Bachelor's degree OR equivalent in AI, Computer Science, or quantitative fields. " Experience in general programming language like Python.
" Experience in Agentic App Development and Prompt Engineering.
" Proficiency in AI agent frameworks (LangChain, LlamaIndex, LangGraph).
" Experience with vector databases, embeddings, and retrieval-augmented generation (RAG).
" Knowledge about any cloud platform like AWS, Google Cloud Platform, etc.
" Code Version Control System like Git, Bitbucket, etc. Nice to have (Not mandatory):
" Working experience with popular ML library/tools like Pytorch, Tensorfow, Sklearn, etc.
" Familiar with docker container and container service like AWS ECS, AWS EKS, Kubernetes.
" Knowledge of computer vision and machine learning algorithms like regression, neural network, deep learning, xgboost, etc.
" Prior experience building machine learning system including model training, model inference, model monitoring, etc.
" Experience in Data Science, NLP, or Knowledge Engineering
JOB DUTIES: Here's what you can expect on a typical day:
" Advanced Prompt Engineering. Work with SMEs to create curated Prompts for the Agentic System.
" AI agent frameworks. Proficiently use Python and AI agent framework such as LangChain, LangGraph, Strands, etc. to build scalable Agentic applications.
Advanced AI & Design Patterns. Apply agent design patterns such as ReAct, Chain-ofThought, Tree of Thoughts to deliver efficiently designed Agentic systems.
" Build Scalable and Robust Codes. You will identify, develop, and implement advanced codes using efficient and scalable programming standards.
" Limitless Possibilities. You are passionate about learning and applying new techniques within GenAI that leads to innovations.
" Collaboration and Communication. You'll be part of a collaborative team, listening to client needs, then finding and brainstorming solutions with the team.
" Experience. You have 3+ years of experience in relevant skills gained and developed in the same or similar role.
TO SUCCEED IN THIS ROLE:
" You'll have a Bachelor's degree OR equivalent in AI, Computer Science, or quantitative fields. " Experience in general programming language like Python.
" Experience in Agentic App Development and Prompt Engineering.
" Proficiency in AI agent frameworks (LangChain, LlamaIndex, LangGraph).
" Experience with vector databases, embeddings, and retrieval-augmented generation (RAG).
" Knowledge about any cloud platform like AWS, Google Cloud Platform, etc.
" Code Version Control System like Git, Bitbucket, etc. Nice to have (Not mandatory):
" Working experience with popular ML library/tools like Pytorch, Tensorfow, Sklearn, etc.
" Familiar with docker container and container service like AWS ECS, AWS EKS, Kubernetes.
" Knowledge of computer vision and machine learning algorithms like regression, neural network, deep learning, xgboost, etc.
" Prior experience building machine learning system including model training, model inference, model monitoring, etc.
" Experience in Data Science, NLP, or Knowledge Engineering
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.