AI Generalist

Job Title : AI Generalist

Location : Mumbai

Experience : 4–6 years

Department :

Technology & AI Innovation

Reports to : CTO

Type : Full-time

As an

AI Generalist , you’ll be at the core of our AI transformation — designing, integrating, and deploying intelligent systems that make advisory smarter, faster, and more personal.

Role Overview

We’re looking for a hands-on

AI Generalist

who can bridge strategy, engineering, and experimentation. You’ll work on AI use cases across the business — building prototypes, fine-tuning models, integrating APIs, and delivering automation using both code and no-code tools.

You must understand

how to turn an abstract business problem into a functioning AI workflow , not just how to run a model.

Key Responsibilities

Design and implement AI solutions

using OpenAI, LangChain, Hugging Face, and similar frameworks.

Develop, test, and deploy

automation workflows, chatbots, and recommendation systems across our investment and advisory platforms.

Integrate AI APIs

(LLMs, NLP, ML models) into production environments with Python, Node.js, or REST APIs.

Fine-tune small to mid-size models

(e.g., for sentiment analysis, recommendation, or portfolio classification).

Design and optimize prompts

for various advisory and reporting tasks.

Work with

data teams

to clean and prepare datasets for training or evaluation.

Collaborate with

product and engineering

to embed AI into customer journeys, dashboards, and decision support tools.

Continuously

evaluate and benchmark

AI model performance and accuracy.

Research and experiment with emerging AI tools and techniques relevant to fintech and investment automation.

Ensure

AI governance , explainability, and compliance alignment (especially for financial advice).

Required Skills

Technical Core : Proficient in

Python

(pandas, NumPy, scikit-learn, FastAPI).

Familiar with

LLM frameworks

— OpenAI, LangChain, Hugging Face Transformers.

Understanding of

AI / ML fundamentals

— classification, clustering, regression, vector databases.

Experience building

AI automations

using APIs, no-code tools (Make, Zapier), or SDKs.

Working knowledge of

cloud (AWS / Azure / GCP)

for AI deployment.

Comfortable using

embedding models

and vector databases (Pinecone, FAISS, Chroma).

Applied AI Skills :

Hands-on experience designing

prompt chains

and evaluating LLM responses.

Ability to

build quick prototypes

(Streamlit / Gradio apps).

Experience using

generative models

for summarization, Q&A, and personalization.

Familiar with

data preprocessing , feature extraction, and lightweight model tuning.

Soft / Strategic Skills :

Strong problem-solving and experimentation mindset.

Capable of taking ownership from idea → working demo → production.

Excellent communication — can translate tech into business impact.

Curiosity-driven — always exploring new AI capabilities and trends.

Nice-to-Have

Experience in

fintech / financial markets / advisory automation .

Familiarity with

risk scoring, portfolio analytics, sentiment analysis .

Exposure to

RAG (Retrieval Augmented Generation)

and vector search.

Prior experience integrating

LLMs into chatbots, dashboards, or CRM tools .

Basic understanding of

data privacy, model security, and compliance frameworks .

Education

B.Tech / M.Tech / M.Sc. in Computer Science, Data Science, or related field

Certifications in AI / ML or LLM development preferred (but not mandatory)