Gen AI Developer

Cognizant; Arkansas; Sur place; USD 80 000 - 120 000; Plein temps

Avantages offerts par ce poste

Medical/Dental/Vision/Life Insurance

Paid holidays plus Paid Time Off

401(k) plan and contributions

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Résumé du poste

Cognizant is seeking a GenAI Developer in the United States (Arkansas) to build and deploy production-ready GenAI applications using LLMs, RAG, and AI agents. You will work hands-on with Python, LangChain/LangGraph, APIs, and prompt engineering to develop RAG solutions with embeddings, vector databases, semantic search, and document retrieval.

Platforms include Azure OpenAI, AWS Bedrock, and Vertex AI. The role emphasizes LLMOps/MLOps, evaluation, guardrails, observability, and cloud deployment,

Qualifications

• Build and deploy GenAI apps using LLMs, RAG, and AI agents.
• Hands-on with Python, LangChain/LangGraph, APIs, and prompt engineering.
• Develop RAG solutions using embeddings, vector databases, semantic search and document retrieval.
• Integrate LLMs through platforms such as Azure OpenAI, AWS Bedrock, or Google Vertex AI.
• Experience with LLMOps/MLOps, evaluation, guardrails, observability, and cloud deployment preferred.

Responsabilités

• Build and deploy production-ready GenAI applications using LLMs, RAG, and AI agents/agentic workflows.
• Strong hands-on experience with Python, LangChain/LangGraph, APIs, and prompt engineering.
• Develop RAG solutions using embeddings, vector databases, semantic search, and document retrieval.

Connaissances

Python

LangChain

LangGraph

APIs

Prompt engineering

LLMs

RAG

Embeddings

Vector databases

Semantic search

Document retrieval

LLM integration

Azure OpenAI

AWS Bedrock

Vertex AI

LLMOps

MLOps

Guardrails

Observability

Cloud deployment

Outils

LangChain/LangGraph services

Azure OpenAI

AWS Bedrock

Google Vertex AI

Description du poste

• Build and deploy production-ready GenAI applications using LLMs, RAG, and AI agents/agentic workflows.
• Strong hands-on experience with Python, LangChain/LangGraph, APIs, and prompt engineering.
• Develop RAG solutions using embeddings, vector databases, semantic search, and document retrieval.
• Integrate LLMs through platforms such as Azure OpenAI, AWS Bedrock, or Google Vertex AI.
• Experience with LLMOps/MLOps, evaluation, guardrails, observability, and cloud deployment preferred.

GenAI Developer

• Build and deploy production-ready GenAI applications using LLMs, RAG, and AI agents/agentic workflows.
• Strong hands-on experience with Python, LangChain/LangGraph, APIs, and prompt engineering.
• Develop RAG solutions using embeddings, vector databases, semantic search, and document retrieval.
• Integrate LLMs through platforms such as Azure OpenAI, AWS Bedrock, or Google Vertex AI.
• Experience with LLMOps/MLOps, evaluation, guardrails, observability, and cloud deployment preferred.

The annual salary for this position is between $ 80-120Kdepending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law