Position Summary
We are seeking an experienced AI Engineer with 3-5+ years of hands-on experience in designing, developing, and deploying AI / ML solutions. You will architect AI systems, build data pipelines, and integrate cutting-edge AI capabilities including LLMs, RAG systems, and cloud-based AI platforms into enterprise applications.
Key Responsibilities
- Design and implement end-to-end AI / ML solutions from data ingestion to model deployment
- Develop LLMs, NLP applications, and RAG systems using vector databases
- Build AI-powered chatbots, document processing, and information extraction pipelines
- Create robust ETL pipelines and optimize data lakehouse architectures
- Deploy and manage AI solutions on cloud platforms (Azure, GCP, AWS)
- Develop APIs and microservices for AI model integration
- Stay current with AI / ML research and experiment with new technologies
Required Qualifications
Programming : Proficiency in Python (required), JavaScript, Java, or similar languagesAI / ML Technologies : Hands-on experience with LLMs, NLP, RAG systems, vector databases, and ML frameworks (TensorFlow, PyTorch, Scikit-learn)Data & Cloud : Experience with data processing tools (Pandas, PySpark, Databricks) and major cloud platforms (Azure, GCP, AWS)Development : Knowledge of SQL / NoSQL databases, REST APIs, microservices, and version control (Git)Experience : 3-5+ years in AI / ML engineering with proven track record of deploying production AI solutionsEducation : Bachelor's degree in Computer Science, Engineering, Data Science, or related fieldPreferred Qualifications
Experience with LangChain, LlamaIndex, document intelligence, and chatbot developmentCloud certifications (AWS ML, Azure AI Engineer, Google Cloud ML)Master's degree in AI / ML or Computer ScienceMLOps, containerization (Docker), and enterprise software development experienceWhat We Offer
Competitive salary and comprehensive benefitsOpportunity to work with cutting-edge AI technologiesProfessional development and flexible work arrangements