
AI/ML Software Architect
2 days ago
Artificial Intelligence and Machine Learning Engineer Position
">We are seeking a highly skilled Artificial Intelligence and Machine Learning Engineer to join our team. The successful candidate will have 3-5 years of experience in Machine Learning and Artificial Intelligence or related fields, with a strong proficiency in Python and modern development practices.
">The ideal candidate will have hands-on experience with Large Language Models (LLMs) and prompt engineering, as well as experience building AI agents using frameworks like LangGraph, Autogen, Crew, or PydanticAI. They will also be familiar with Databricks and cloud-native deployment strategies, and have a good understanding of REST APIs, WebSockets, and event-driven systems.
">In this role, the AI/ML Engineer will be responsible for designing and optimizing prompt engineering workflows for LLMs, developing modular, reusable components for agent orchestration and task automation, and deploying models using Databricks and Azure ML. They will also collaborate with platform teams to ensure scalable and secure deployments.
">Responsibilities:
">- ">
- Build AI agents using frameworks like LangGraph, Autogen, Crew, or PydanticAI.">
- Design and optimize prompt engineering workflows for LLMs (e.g., GPT, Claude, LLaMA).">
- Develop modular, reusable components for agent orchestration and task automation.">
- Deploy models using Databricks and Azure ML, integrating with enterprise-grade systems.">
- Implement APIs, WebSockets, and event-driven architectures for real-time AI services.">
- Collaborate with platform teams to ensure scalable and secure deployments.">
- Work with CI/CD pipelines using Jenkins to automate testing and deployment.">
- Maintain high code quality and documentation standards using Git, Jira, and Confluence.">
Requirements:
">- ">
- 3-5 years of experience working in Machine Learning / Artificial Intelligence or related fields.">
- 1+ years of experience building Generative AI Applications for enterprise, deep understanding of workflows like RAG.">
- Strong proficiency in Python and modern development practices.">
- Hands-on experience with LLMs and prompt engineering.">
- Experience building AI agents using at least one of Lang Graph, Crew, or PydanticAI.">
- Familiarity with Databricks and cloud-native deployment strategies.">
- Understanding of REST APIs, WebSockets, and event-driven systems.">
- Familiarity with SDLC best practices and agile methodologies.">
- Proficiency with using CI/CD tools (Jenkins) and version control (Git).">
- Comfortable using AI-augmented development tools for rapid prototyping.">
Nice-to-Have Skills:
">- ">
- Exposure to MLOps/LLMOps workflows and model monitoring.">
- Knowledge of enterprise security, compliance, and governance in AI systems.">
- Exposure to best practices for code and model lifecycle management.">
Soft Skills & Mindset:
">- ">
- Strong analytical and problem-solving skills.">
- Excellent communication and collaboration abilities.">
- Self-starter with a growth mindset and curiosity for emerging AI trends.">
- Ability to work in cross-functional teams and adapt to evolving priorities.">
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