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Role Summary
We are looking for an AI/ML Engineer with strong Python skills and a passion for building production-ready AI systems. In this role, you will contribute to developing and deploying LLM-based applications, including multi-agent systems and RAG pipelines, while ensuring scalability, reliability, and cost efficiency.
Key Responsibilities
- Model Integration: Assist in deploying and maintaining machine learning models into production environments using Python and cloud services.
- Agentic Frameworks: Hands-on experience with LangGraph, CrewAI, or AutoGen to build multi-agent systems that can reason, plan, and execute multi-step tasks.
- RAG: Understanding of advanced Retrieval-Augmented Generation (RAG) techniques, including hybrid search, reranking, and semantic chunking using vector databases like Pinecone, Weaviate, or Chroma.
- Model Context Protocol (MCP): Familiarity with implementing MCP servers to help LLMs interact securely with external tools and data sources.
- Data Pipeline Support: Help clean, preprocess, and augment datasets to improve model training and evaluation.
- Prompt Engineering: Design, test, and iterate on system prompts to ensure high-quality and safe AI outputs.
- Token Optimization: Ability to manage context window limits and optimize token usage to balance model performance with operational costs.
- MLOps Basics: Experience with CI/CD pipelines tailored for AI, including model versioning and automated testing of prompts within the development lifecycle.
- Collaboration: Participate in code reviews, sprint planning, and technical documentation to ensure code quality and knowledge sharing.
- Continuous Learning: Stay up-to-date with the latest AI research, libraries, and tools to suggest improvements to our tech stack.
Qualifications
- Education: Bachelor's degree in Computer Science, Data Science, or a related technical field (or equivalent practical experience).
- Programming: Proficiency in Python
- AI Foundations: Basic understanding of machine learning concepts (Supervised vs. Unsupervised learning)
- Web Basics: Familiarity with RESTful APIs and how to integrate them into a backend.
- Version Control: Solid grasp of Git and collaborative workflows.
- Problem Solving: A hacker mindset—willing to experiment, fail fast, and iterate on complex problems.
- Experience : 5+ years of relevant experience
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
