Senior Software Engineer_AI

Niharika Chakravarty; United States; Remote; USD 120,000 - 190,000; Full time

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

Senior Software Engineer

Who Were Looking For

Were looking for a Senior Software Engineer with 5+ years of experience who can build and deploy production‑grade AI solutions. The ideal candidate combines strong Python and software engineering fundamentals, hands‑on Generative AI experience, and excellent communication skills.

What Youll Do

• Understand business problems and design effective AI solutions.
• Build and deploy LLM, RAG, and Agentic AI applications for enterprise use cases.
• Develop intelligent agents using frameworks such as 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.

What You Bring

• 5+ years of hands‑on experience in software engineering, AI/ML engineering, or backend engineering.
• Strong Python skills and experience building scalable APIs and backend services.
• Hands‑on experience with LLMs, Generative AI, RAG, and/or AI Agents.
• Experience with LLM platforms such as GPT, Gemini, or similar.
• Hands‑on experience with LangChain, LangGraph, CrewAI, or similar agentic frameworks.
• Experience with vector databases and retrieval systems.
• Strong understanding of Machine Learning/Deep Learning and production AI systems.
• Experience working with customers or enterprise stakeholders.
• Excellent communication and presentation skills.
• Ability to work independently, manage multiple priorities, and operate comfortably in a fast‑paced environment.

Good to Have

• Experience with AWS, Azure, or GCP.
• MLOps/production AI experience.
• Experience in AI startups, product companies, or AI services environments.
• Experience building customer-facing AI products.