
Artificial Intelligence Engineer
19 hours ago
We are seeking a highly motivated AI Engineer with strong foundations in applied machine learning and a passion for building and deploying production-grade AI solutions for enterprise clients. In this customer-facing role, you will act as a key technical expert, interfacing directly with clients to design, build, and deliver cutting-edge AI applications. This position requires a balance of deep technical expertise and excellent communication skills.
Responsibilities :
Design & Deliver AI Solutions :
- Interact directly with enterprise customers.
- Translate business requirements into robust, production-ready AI solutions.
- Manage AI projects with the customer's vision in mind.
- Build long-term, trusted client relationships.
Build & Integrate Agents :
- Architect, build, and integrate intelligent agent systems.
- Automate IT functions and solve client-specific problems.
- Leverage frameworks like LangChain or LangGraph for multi-step tasks.
- Integrate custom agents into the RapidCanvas platform.
Implement LLM & RAG Pipelines :
- Develop retrieval-augmented generation (RAG) pipelines.
- Contextualize LLM behavior with client-specific data.
- Integrate AI agents with infrastructure signals such as logs and APIs.
Collaborate & Enable :
- Partner with customer data science teams.
- Work closely with internal Solutions Architects, Engineering, and Product teams.
- Ensure seamless integration of AI solutions.
- Act as a Product Champion, sharing feedback to drive innovation.
Data & Model Management :
- Oversee the complete AI project lifecycle from data preprocessing and model development to deployment, monitoring, and optimization.
Champion Best Practices :
- Write clean, maintainable Python code.
- Promote engineering best practices for performance, scalability, and accuracy.
Requirements :
years of hands-on experience in AI/ML engineering or backend systems.
- Recent exposure to LLMs or intelligent agents is required.
Technical Expertise :
- Strong proficiency in Python.
- Proven track record in building scalable backend services/APIs.
- Solid understanding of machine learning, deep learning, and Generative AI.
- Hands-on experience with LLM platforms (e. g., GPT, Gemini).
- Expertise in agentic frameworks like LangChain, LangGraph, or CrewAI.
- Experience with vector databases (e. g., Pinecone, Weaviate, FAISS).
Customer & Communication Skills :
- Ability to engage and partner with enterprise stakeholders.
- Strong presentation and client-facing communication skills.
- Comfortable working independently and managing multiple projects.
Preferred Skills :
- Familiarity with cloud platforms (AWS, Azure, Google Cloud).
- Knowledge of MLOps practices.
- Experience in the AI services industry or startup environments.
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