Junior Ai Engineer

Role Overview

This role is for engineers with 2–3 years of experience who can already build software systems and now want to apply that to real-world AI systems . You’ll work on building and shipping production AI workflows , while owning parts of systems and collaborating closely with senior engineers. This is a hands-on builder role focused on execution, learning, and gradually taking ownership of modules within larger systems.

What You’ll Do

• Build and improve AI agents and automation workflows
• Implement RAG pipelines (data ingestion, retrieval, basic ranking)
• Work on prompting, tool usage, and structured outputs
• Integrate AI systems into CRMs, internal tools, and external APIs
• Debug and improve output quality, latency, and reliability
• Take ownership of specific features or modules within larger systems
• Support deployment and maintenance of production AI systems

Experience

• 2–3 years of experience in software development, AI, or related roles
• Experience working on real-world projects (startup, internship, freelance, or full-time)
• Exposure to shipping code to production environments
• Bachelor’s or Master’s in Computer Science, AI, Data Science

Must Have

• Strong working knowledge of Python
• Hands-on experience with LLMs (OpenAI, Claude, or similar open source LLMs)
• Familiarity with:
  • Prompting techniques
  • APIs and integrations
  • RAG fundamentals (chunking, retrieval, basic pipelines)
• Ability to build and ship features independently
• Understanding of backend fundamentals (APIs, async workflows, data handling)
• Please include GitHub / portfolio / project links

Nice to Have

• Experience with LangChain / LlamaIndex / agent frameworks
• Built projects like chatbots, RAG apps, or automation tools
• Exposure to vector databases (Pinecone, FAISS, etc.)
• Familiarity with workflow automation tools (n8n, Zapier, etc.)
• Basic understanding of evaluation or improving LLM outputs
• You think in terms of building and shipping , not just experimenting
• You’re comfortable starting at the ideation stage and move ahead with evolving requirements