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# AI Engineer

- **Company:** Digile Inc.
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Continuous Integration, Python (Programming Language), NLTK (NLP Analysis), Object-Oriented Software Development, Rapid Prototyping Process, OpenAI, Tensorflow, Azure Machine Learning, Search Technologies, Service-Oriented Architecture, Pinecone, Qdrant, Cloud Platform System, Pytorch, LangChain, ReactJS, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Llamaindex, Agentic-AI, Containerization, Scikit Learn, Kubernetes, Information Technology, HuggingFace, CrewAI, Transformer Architectures, AutoGen, Machine Learning Operations, FAISS, Invoking Functions, Spacy, Serverless Computing, Docker, ChromaDB, Programming Languages, Microservices
- **Published:** November 13, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pyvu39p67d

## About the Role

* Leadership Quality: Proven track record in leading cross-functional teams and delivering enterprise-grade AI projects with tangible business impact.
 * Business Consulting Mindset: Strong problem-solving, stakeholder communication, and business analysis skills to bridge technical and business domains.
 * Python & AI Proficiency: Advanced proficiency in Python and popular AI/ML libraries (e.g., scikit-learn, PyTorch, TensorFlow, spaCy, NLTK). Solid understanding of NLP, embeddings, semantic search, and transformer models.
 * LLM Ecosystem Fluency: Experience with OpenAI, Cohere, Hugging Face models; prompt engineering; tool/function calling; and structured task orchestration.
 * Independent Contributor: Ability to own initiatives end-to-end, take decisions independently, and operate in fast-paced environments.
 * Education: Bachelor's or Master's in Computer Science, AI, Engineering, or related field.
 * Experience: Minimum 5 years of experience in consulting or technology roles, with at least 3 years focused on AI & ML solutions.

Preferred Skills

 * Cloud Platform Expertise: Strong familiarity with Microsoft Azure (preferred), AWS, or GCP - including compute instances, storage, managed services, and serverless/cloud-native deployment models.
 * Programming Paradigms: Hands-on experience with both functional and object-oriented programming in AI system design.
 * Hugging Face Ecosystem: Proficiency in using Hugging Face Transformers, Datasets, and Model Hub.
 * Vector Store Experience: Hands-on experience with FAISS, Qdrant, Pinecone, ChromaDB.
 * LangChain Expertise: Strong proficiency in LangChain for agentic task orchestration and RAG pipelines.
 * MLOps & Deployment: CI/CD for ML pipelines, MLOps tools (MLflow, Azure ML), containerization (Docker/Kubernetes).
 * Cloud & Service Architecture: Knowledge of microservices, scaling strategies, inter-service communication.
 * Programming Languages: Proficiency in Python and C# for enterprise-grade AI solution development.

Additional Skills

 * Excellent customer interfacing and stakeholder engagement skills.
 * Strong verbal and written communication in business and technical contexts.
 * High attention to detail and structured problem-solving.
 * Passion for AI ethics, safety, performance, and optimization in enterprise-grade systems.

## Description

* AI Engagements: Independently manage end-to-end delivery of AI-led transformation projects across industries, ensuring value realization and high client satisfaction.
 * Strategic Consulting & Roadmapping: Identify key enterprise challenges and translate them into AI solution opportunities, crafting transformation roadmaps that leverage RAG, LLMs, and intelligent agent frameworks.
 * LLM/RAG Solution Design & Implementation: Architect and deliver cutting-edge AI systems using Python, LangChain, LlamaIndex, OpenAI function calling, semantic search, and vector store integrations (FAISS, Qdrant, Pinecone, ChromaDB).
 * Agentic Systems: Design and deploy multi-step agent workflows using frameworks like CrewAI, LangGraph, AutoGen or ReAct, optimizing tool-augmented reasoning pipelines.
 * Client Engagement & Advisory: Build lasting client relationships as a trusted AI advisor, delivering technical insight and strategic direction on generative AI initiatives.
 * Hands-on Prototyping: Rapidly prototype PoCs using Python and modern ML/LLM stacks to demonstrate feasibility and business impact.
 * Thought Leadership: Conduct market research, stay updated with the latest in GenAI and RAG/Agentic systems, and contribute to whitepapers, blogs, and new offerings.