GenAI Engineer / AI Systems Engineer*

Posted on July 28, 2025

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Job Description

  • *Position: GenAI Engineer / AI Systems Engineer*
  • Location: Remote (India-based preferred)
  • Engagement: Full-time (9 hours/day)
  • Exp: 4-5 years
  • 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.

Required Skills

? 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.