Associate ML Engineer

About the Role

We are looking for a motivated entry-level engineer to join our team and help build machine learning and Large Language Model (LLM)-based applications. This is a fully on-site position, and ideal for someone local who wants to kick-start their career in AI, learn fast, and contribute to real-world projects from day one. This role is challenging and fast-paced, requiring someone who can absorb knowledge quickly, adapt to complex requirements, and execute at high speed. You'll be expected to prototype ideas within a few days to test feasibility, and contribute meaningfully to ML pipelines and LLM-enabled features under the guidance of experienced engineers. If you are a recent graduate driven by curiosity, action-oriented thinking, and a strong work ethic, this is a rare opportunity to accelerate your growth, work hands-on with cutting-edge AI technologies, and make a real impact from day one.

What You Will Do

• Build and test workflows and Agentic AI Applications.
• Integrate open-source LLMs such as LLaMA2 and commercial APIs such as OpenAI, into backend services using LangChain and other frameworks
• Develop retrieval-augmented generation (RAG) pipelines, including embedding generation, vector store setup and query orchestration
• Create and maintain prompt templates and toolchains for workflows like multi-turn conversations or auto-tagging of enterprise documents
• Write unit tests and debug issues in LLM-powered features such as semantic search and summarization
• Prototype new ideas rapidly in 1-2 days and iterate with feedback
• Document your work clearly and maintainably

Required Skills

• Strong Python fundamentals
• Prior experience shipping code to production
• Hands-on experience in building applications with LLMs like GPT, Claude, and LLaMA
• Understanding of embeddings, tokenization, and vector search
• Exposure to LangChain, LlamaIndex, or similar frameworks
• Comfortable with APIs, JSON, and CLI tools
• Ability to build middleware in Node.js and connect to Python backend
• Ability to work fast, prototype quickly, and accept feedback
• Self-driven and persistent problem-solver

What We Offer

A rare, hands-on opportunity to learn real-world AI/LLM development. Daily exposure to LLM models and tools.Direct mentorship from experienced engineers. Fast-paced, execution-focused culture. Performance-based growth for driven candidates. Modest initial compensation with high learning ROI.

How to Apply

Send your resume and a brief note explaining your interest in AI/ML and why this opportunity excites you to careers@bitwiseacademy.com. If you have worked on any LLM projects - GitHub links, demos, or code samples are strongly encouraged. As part of the interview process, you will be asked to implement a small prototype to demonstrate your ability to learn quickly, work independently, and apply AI/LLM concepts in code.