Senior AI Engineer

Company Description

CittaAI, powered by Fixity, is a leading AI-driven MarTech and Technology solutions company focused on helping businesses achieve smarter growth through innovation in data, automation, and digital strategies. With expertise in AI-generated content, marketing automation, customer engagement systems, and analytics, the company delivers scalable and impactful solutions to enhance productivity and drive business results. Serving industries such as retail, wellness, education, and professional services, CittaAI empowers brands to elevate their marketing and captivate their audience with advanced AI technology. Our mission is to enable digital transformation by creating efficient, fast, and highly accurate AI-driven ecosystems.

About the Role

We are looking for aSenior AI Engineer who can design, build, and scale intelligent systems across multiple products. The ideal candidate has strong experience inRAG systems, predictive modeling, and sentiment analysis , and can independently identify where AI can create maximum impact within a full-stack application.

You will work closely with product, engineering, and business teams to translate real-world problems into scalable AI solutions.

Key Responsibilities

Design and buildRetrieval-Augmented Generation (RAG) systems using LLMs, embeddings, and vector databases

Develop and deploypredictive models (classification, regression, forecasting) for real business use cases

Buildsentiment and behavioral analytics models from structured and unstructured data

IdentifyAI opportunities within products and proactively propose solutions

Implementdata scraping, ingestion, preprocessing, and feature engineering pipelines

Integrate AI/ML models intofull-stack applications via APIs and services

Optimize model performance, latency, cost, and scalability in production

Work with large datasets and ensure data quality, monitoring, and observability

Collaborate with frontend, backend, and DevOps teams for seamless AI integration

Stay up-to-date with advancements in LLMs, agentic workflows, and applied AI

Required Skills & Qualifications

2+ years of experience inAI/ML engineering or applied data science

Strong experience withPython and ML/AI libraries (PyTorch, TensorFlow, scikit-learn, etc.)

Hands-on experience withLLMs, RAG pipelines, embeddings, and vector databases

Experience buildingpredictive and sentiment analysis models

Knowledge ofNLP techniques and text processing

Experience withdata scraping , ETL pipelines, and preprocessing workflows

Ability to designproduction-ready AI systems , not just prototypes

Experience deploying models using APIs, containers, or cloud platforms

Strong problem-solving and system-design mindset

Good to Have

Experience withagentic AI workflows and tool-calling systems

Familiarity withcloud platforms (AWS / GCP / Azure)

Experience withreal-time or streaming data pipelines

Knowledge ofMLOps , model monitoring, and versioning

Exposure tofull-stack development (React, Node.js, Next.js, etc.)

* How to Apply*

Interested candidates can share their resume and portfolio links at