Software Engineer 1 , ML

Interviews can be hard, especially at top tech companies like Google, Facebook, and Netflix. Many candidates fall short simply because they aren’t adequately prepared. That’s where we come in. Our acclaimed courses specialize in interview preparation and transitioning into high-demand tech fields such as AI, ML, and Data Science. At Interview Kickstart, current and former hiring managers have guided over 17,000 tech professionals through transformative career journeys, ensuring their success in landing coveted positions. Think of us as “the everything store” for career transitions and interview skill development.

We have a structured approach to interview success, which includes:

• Career Accelerator Course
• Comprehensive end-to-end courses and platform
• A roster of over 600+ instructors from leading Silicon Valley companies like Google, Facebook, Amazon, and Netflix
• A holistic approach that includes live classes, mock interviews, personalized coaching, resume refinement, career strategies, and invaluable referrals

What’s more exciting is that we are completely remote and hiring the best people we can find regardless of geography.

As a Machine Learning Engineer at Interview Kickstart, you will play a crucial role in developing and deploying cutting-edge AI/ML solutions that enhance our platform and improve the learning experience for our students. You will work closely with data scientists, engineers, and product managers to build and scale robust and impactful machine learning models.

What will excite us:

• An AI-first approach for solving the problems.
• Solid prompt engineering skills.
• 0.5+ years full-time experience building and deploying AI Agents using LangChain, LangGraph, OpenAI API, Gemini API, Anthropic API, etc.
• Hands-on experience with multi-step agent workflows, orchestration, and evaluating agent reliability.
• 1.5+ years of full-time experience in Python and Django/Django REST framework (DRF)/FastAPI.
• Familiarity with vector databases (Pinecone, Weaviate) and semantic search.
• Good debugging and online searching skills.
• Good communication skills.
• Good problem-solving skills (ability to solve hard-level data structures and algorithms problems).

What will you be doing? :

• You will work closely with senior Applied AI/ML engineers building LLM-powered agentic systems for real product use cases.
• You will design, develop, and optimize agent pipelines/APIs, build tests for agent behaviors, and contribute to evaluation frameworks.
• Bug-fixing and improving agent performance will be prioritized before starting new feature work.
• Optionally, if interested/experienced, you will contribute to MLOps deployment pipelines.

What would excite you?

• Permanent remote/WFH and flexible work culture.
• Cutting-edge technology stack.
• An AI-first approach for solving the problems.
• Complete ownership and trust from the top management.
• Ideas and concerns are carefully listened to by the top management.
• Experiment, fail, and learn.
• Rapid career progression for high performers.
• High-pedigree, high-caliber team.
• Learn how a fast-growing startup works and scales.