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)