Job Description

Location: Remote (India-based preferred)

Engagement: Full-time (9 hours/day)

About Us:

We are a small, fast-paced startup building AI agents for the trading sector. Our goal is

to automate insights and actions based on real-world financial events using

cutting-edge AI. We work under tight deadlines and need passionate, self-driven

contributors who thrive on ownership and collaboration in a small team.

Role Overview:

As a GenAI Engineer, you will be responsible for designing, building, and deploying AI

pipelines that train and run our internal trading-focused agents. You will handle external

data ingestion, event-driven triggers, prompt engineering, vector database

management, and automation workflows. Your work will directly power our system to

react to real-world events in real time.

Key Responsibilities:

Build and maintain AI pipelines for data ingestion, training, and event-based

triggering.


Implement LLM integrations and RAG (Retrieval-Augmented Generation)

workflows.


Design and optimize prompt engineering strategies for our trading AI agents.


Manage Vector Databases for efficient document retrieval and context storage.


Build and secure APIs for internal and external integrations.


Write clean, production-ready Python code to orchestrate AI workflows.


Leverage Cloud services (AWS/Azure/GCP) for deployment and scaling.


Handle basic system design to ensure robust, maintainable architecture.


Use various AI tools and frameworks to automate tasks and optimize

development.


Collaborate with a small team to deliver end-to-end features independently.

Key Skills & Requirements:


Strong hands-on experience with Python for AI/ML development.


Understanding of LLM usage, customization, and deployment.


Knowledge of RAG architectures and practical implementation.


Familiarity with Vector Databases (Pinecone, FAISS, Chroma, Weaviate, etc.).


Experience with prompt engineering to deliver reliable, high-quality AI outputs.


Proficiency with Hugging Face for model integration and deployment.


Knowledge of using open-source and commercial LLMs (e.g., Gemini, Claude,

GPT-4, LLaMA) for production workflows.


Ability to build and maintain data pipelines for training and inference.


Good understanding of Cloud platforms for deploying AI services.


API development and integration experience (REST, GraphQL).


Exposure to event-driven systems and automation design.


Some experience with system design for small-scale production systems.


Passionate about AI in trading/finance and willing to learn domain-specific

nuances.

Who We Are Looking For:

Passionate problem solvers who own their work end-to-end.


Self-starters who can manage tasks with minimal supervision.


Comfortable working in a startup with tight deadlines.


Able to think systemically, designing automation-ready, scalable solutions.


Eager to use AI tools to streamline workflows and deliver faster.


Strong communicators and team players in a remote setup.

Job Type: Full-time

Pay: ₹70,000.00 - ₹80,000.00 per month

Benefits:

Work from home
Schedule:

Day shift
Education:

Bachelor's (Preferred)
Experience:

* GenAI: 4 years (Required)