Generative AI Engineer

We are seeking a talented Generative AI Engineer with 1–5 years of experience in developing and deploying AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and LangChain. The ideal candidate should have strong Python programming skills and hands-on experience building intelligent AI solutions, conversational applications, and scalable generative AI systems.

Work Locations: San Francisco, CA | New York City, NY | Austin, TX
Employment Type: Full-Time
Work Mode: On-site / Hybrid / Remote (depending on company requirements)

Key Responsibilities

• Design, develop, and deploy Generative AI applications using LLMs.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines.
• Develop AI-powered chatbots, virtual assistants, and conversational AI systems.
• Implement LLM integrations using LangChain and related frameworks.
• Work with OpenAI, Anthropic, Google Gemini, and open-source language models.
• Develop prompt engineering strategies to improve AI response quality.
• Integrate vector databases for semantic search and information retrieval.
• Optimize LLM performance, latency, accuracy, and token consumption.
• Implement document processing, embeddings, and knowledge retrieval systems.
• Collaborate with engineering and product teams to deliver AI-driven solutions.
• Monitor, test, and improve production AI applications.

Required Skills

• 1–5 years of experience in AI/ML, Generative AI, or software development.
• Strong programming knowledge in Python.
• Hands-on experience with Large Language Models (LLMs).
• Practical experience with Retrieval-Augmented Generation (RAG).
• Experience with LangChain or similar LLM orchestration frameworks.
• Understanding of prompt engineering and embeddings.
• Knowledge of vector databases such as Pinecone, ChromaDB, or FAISS.
• Experience integrating REST APIs and AI services.
• Understanding of NLP, machine learning, and deep learning concepts.
• Strong problem-solving and analytical skills.

Preferred Qualifications

• Experience with LangGraph and LlamaIndex.
• Knowledge of OpenAI API, Claude, and Gemini APIs.
• Familiarity with Hugging Face Transformers.
• Experience with fine-tuning and evaluating LLMs.
• Knowledge of Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).
• Understanding of AI agents and multi-agent systems.
• Experience deploying scalable Generative AI applications.

Education

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related field, or equivalent practical experience.

Compensation & Benefits

• Annual Salary: $115,000 – $190,000.
• Competitive salary based on experience and technical expertise.
• Health, dental, and vision insurance.
• Paid vacation and holidays.
• Professional development and career growth opportunities.
• Opportunity to work on cutting-edge Generative AI projects.

Application Process

Interested candidates are encouraged to apply with their updated resume, highlighting their Python, LLM, RAG, LangChain expertise, and relevant Generative AI project experience.