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