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BitCot

Python AI Engineer / GenAI Backend Developer (1 2 Years)

Pay: Not specified

Posted: 4 days ago

Location: San Diego, CA (Onsite)

Last Updated: 1 day ago

Hours: Full-Time

Expires: 10/12/2026

Career Insights for Generative Artificial Intelligence Engineer

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What they do

A Generative Artificial Intelligence Engineer develops, designs, and manages generative models and algorithms that support the generation of new content in the form of images, text, audio, and other multimedia. They utilize GPTs, GANs, VAEs, and other deep learning architectures to craft systems capable of generating data. May work with data scientists, machine learning engineers, and software developers.

$166,830 / year median in California

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Job Description

Python AI Engineer / GenAI Backend Developer (1 - 2 Years) BitCot San Diego, CA Job Details 3 hours ago Qualifications Debugging Full Job Description body.single-job .container.main-content .post-area.col.span_9 { width: 100%; } body.single-job .container.main-content #sidebar.span_3 { width: 0; display: none; } body.single-job div.wpforms-container-full .wpforms-field.wpforms-field-checkbox ul li input+label{ line-height: 1.3 !important; } We are looking for some fresh talents We are looking for a Python AI Engineer / GenAI Backend Developer to join our team. We are looking for an AI Engineer / GenAI Backend Developer with 1 to 1.5 years of experience who can build practical AI applications by combining Python backend engineering, Generative AI, RAG, and Agentic AI. The ideal candidate should have hands-on experience with Python, FastAPI/Flask, LLMs, RAG, LangChain or LangGraph, vector databases, REST APIs, and cloud platforms. They should be comfortable building AI-powered applications, integrating APIs and tools, and developing reliable backend services.

Key Areas:

Agentic AI:

AI agents, basic LangGraph workflows, tool calling, and agent workflows

Generative AI:

LLMs, prompt engineering, embeddings, context management, and basic AI evaluation

RAG:

Document ingestion, chunking, embeddings, retrieval, and vector databases

Backend:

Python, FastAPI/Flask, REST APIs, OOP, and clean coding practices

Cloud:

Basic experience with AWS or other cloud platforms

Databases:

PostgreSQL/MySQL, NoSQL basics, and familiarity with vector databases

Engineering:

Docker, Git/GitHub, unit testing, debugging, logging, and API development

AI-Assisted Development:

Claude, Cursor, GitHub Copilot, or similar AI coding tools

What We're Looking For:

We're looking for engineers who can build and debug practical GenAI applications, not just understand AI terminology. You should have a strong foundation in Python and backend development, along with practical knowledge of LLMs, RAG, embeddings, and AI agents. You should be willing to learn new AI technologies and work across backend and GenAI components. Strong problem-solving, debugging, communication, learning ability, and ownership are essential. We also value developers who use AI coding assistants to improve productivity while taking full ownership of the code, testing, security, and technical decisions. Experience 1 to 2 years Location Indore Drop a mail to: / Or call us: (+91) 8103678419