About the role
Job Title: GenAI Engineer
Job Type: Full-time
Location: Remote
About Us:
Our mission at micro1 is to match the most talented people in the world with their dream jobs. If you are looking to be at the forefront of AI innovation and work with some of the fastest-growing companies in Silicon Valley, we invite you to apply for a role. By joining the micro1 community, your resume will become visible to top industry leaders, unlocking access to the best career opportunities on the market.
Job Summary :
Join our customer's team as a GenAI Engineer, where you'll pioneer cutting-edge generative AI solutions and enable transformative business capabilities. You will leverage the latest advancements in GenAI, Retrieval-Augmented Generation (RAG), and industry-leading frameworks to deliver scalable, innovative projects. This is a unique opportunity to work remotely in a collaborative environment that prizes technical expertise and exceptional communication skills.
Key Responsibilities :
- Design, develop, and deploy multi-agent AI systems using frameworks like LangChain, LangGraph, and AutoGen.
- Build and orchestrate AI agents capable of tool integration, decision-making, and collaboration.
- Lead the transition of GenAI prototypes to production-grade solutions, ensuring scalability and reliability.
- Integrate external tools and APIs (e.g., GitHub, UI components, internal systems) into agent workflows.
- Implement and support RAG pipelines and prompt engineering strategies for domain-specific applications.
- Collaborate with cross-functional teams to deliver impactful AI solutions in real-world environments.
- Leverage Databricks for data processing, model training, and MLOps workflows.
- Contribute to the evolution of our agentic AI strategy, including experimentation with HPC and advanced orchestration.
Required Skills and Qualifications:
- 5+ years of experience in AI/ML development, with a strong foundation in Python.
- Hands-on experience with LangChain/LangGraph or AutoGen, or similar agentic frameworks.
- Proven track record of delivering GenAI solutions from MVP to production.
- Experience with tool integration into AI agents (e.g., GitHub APIs, UI workflows).
- Solid understanding of prompt engineering and retrieval-augmented generation (RAG).
- Familiarity with Databricks and MLflow for model tracking, deployment, and monitoring.
- Strong problem-solving skills and a passion for exploring the future of agentic and generative AI.
Preferred Qualifications:
- Exposure to pharma, life sciences, or regulated industries.
- Contributions to open-source GenAI or agentic AI projects.
Note: The AI interview attached to this role will detect the cheating level. It will detect eye movement, tab switch, and AI-generated answers. Make sure you do not use any external device.
About the role
Job Title: GenAI Engineer
Job Type: Full-time
Location: Remote
About Us:
Our mission at micro1 is to match the most talented people in the world with their dream jobs. If you are looking to be at the forefront of AI innovation and work with some of the fastest-growing companies in Silicon Valley, we invite you to apply for a role. By joining the micro1 community, your resume will become visible to top industry leaders, unlocking access to the best career opportunities on the market.
Job Summary :
Join our customer's team as a GenAI Engineer, where you'll pioneer cutting-edge generative AI solutions and enable transformative business capabilities. You will leverage the latest advancements in GenAI, Retrieval-Augmented Generation (RAG), and industry-leading frameworks to deliver scalable, innovative projects. This is a unique opportunity to work remotely in a collaborative environment that prizes technical expertise and exceptional communication skills.
Key Responsibilities :
- Design, develop, and deploy multi-agent AI systems using frameworks like LangChain, LangGraph, and AutoGen.
- Build and orchestrate AI agents capable of tool integration, decision-making, and collaboration.
- Lead the transition of GenAI prototypes to production-grade solutions, ensuring scalability and reliability.
- Integrate external tools and APIs (e.g., GitHub, UI components, internal systems) into agent workflows.
- Implement and support RAG pipelines and prompt engineering strategies for domain-specific applications.
- Collaborate with cross-functional teams to deliver impactful AI solutions in real-world environments.
- Leverage Databricks for data processing, model training, and MLOps workflows.
- Contribute to the evolution of our agentic AI strategy, including experimentation with HPC and advanced orchestration.
Required Skills and Qualifications:
- 5+ years of experience in AI/ML development, with a strong foundation in Python.
- Hands-on experience with LangChain/LangGraph or AutoGen, or similar agentic frameworks.
- Proven track record of delivering GenAI solutions from MVP to production.
- Experience with tool integration into AI agents (e.g., GitHub APIs, UI workflows).
- Solid understanding of prompt engineering and retrieval-augmented generation (RAG).
- Familiarity with Databricks and MLflow for model tracking, deployment, and monitoring.
- Strong problem-solving skills and a passion for exploring the future of agentic and generative AI.
Preferred Qualifications:
- Exposure to pharma, life sciences, or regulated industries.
- Contributions to open-source GenAI or agentic AI projects.
Note: The AI interview attached to this role will detect the cheating level. It will detect eye movement, tab switch, and AI-generated answers. Make sure you do not use any external device.