Senior AI Software Engineer - Production LLM & RAG

Niharika Chakravarty

United States

Remote

USD 120,000 - 190,000

Full time

14 days+
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Job summary

Niharika Chakravarty is seeking a Senior Software Engineer with 5+ years of experience to design and deploy production-grade AI solutions. The role emphasizes strong Python skills, Generative AI, and enterprise-ready AI capabilities.

You will work on building LLM, RAG, and agentic systems, integrating them with vector databases, and delivering scalable Python APIs for production environments.

Qualifications

  • 5+ years hands-on software/AI experience
  • Strong Python skills and API/backend experience
  • Hands-on experience with LLMs, Generative AI, and AI agents

Responsibilities

  • Understand business problems and design AI solutions.
  • Build and deploy LLM, RAG, and Agentic AI applications for enterprise use cases.
  • Develop intelligent agents using LangChain, LangGraph, or CrewAI.
  • Build RAG pipelines using vector databases such as Pinecone, Weaviate, or FAISS.
  • Develop scalable Python APIs and backend services.
  • Work with customer data and technical teams to integrate AI solutions into production environments.
  • Manage AI solutions end-to-end — from data preparation and development to deployment, monitoring, and optimization.
  • Collaborate with Engineering, Product, and Solutions teams and provide product feedback.
  • Follow best practices for code quality, scalability, performance, and reliability.

Skills

5+ years hands-on experience
Python
AI/ML engineering
Communication skills
LLMs/Generative AI
LangChain
LangGraph
CrewAI
Backend development
Production AI systems
Stakeholder communication

Tools

Pinecone
Weaviate
FAISS
LangChain
LangGraph
CrewAI
GPT
Gemini

Job description

Niharika Chakravarty is seeking a Senior Software Engineer with 5+ years of experience to design and deploy production-grade AI solutions. The role emphasizes strong Python skills, Generative AI, and enterprise-ready AI capabilities.

You will work on building LLM, RAG, and agentic systems, integrating them with vector databases, and delivering scalable Python APIs for production environments.

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