Remote Position
[Remote] AI Engineer
🌍 Remote · United States
💼 Full-time
Note: The job is a remote job and is open to candidates in USA. EXL is seeking a highly skilled AI Engineer to design, develop, and deploy enterprise-scale Artificial Intelligence, Generative AI, and Agentic AI solutions. The role focuses on building scalable AI applications and intelligent agents, integrating large language models, developing data engineering pipelines, and delivering production-grade AI platforms while collaborating with technical and business stakeholders.
Responsibilities
- Design, develop, and deploy AI/ML and Generative AI solutions for enterprise-scale applications
- Build and optimize AI-powered applications leveraging LLMs, Agentic AI frameworks, and NLP techniques
- Develop intelligent multi-agent systems for automation, reasoning, workflow orchestration, and decision-making
- Implement Retrieval-Augmented Generation (RAG) architectures using vector databases
- Fine-tune, evaluate, and deploy open-source and commercial LLMs
- Develop scalable data ingestion, transformation, and feature engineering pipelines for AI workloads
- Create conversational AI applications, virtual assistants, copilots, and knowledge management solutions
- Integrate AI applications with enterprise systems through APIs, microservices, and cloud-native architectures
- Monitor, evaluate, and continuously improve model performance, accuracy, safety, and governance
- Collaborate with Data Engineers, Data Scientists, Product Managers, and Business Stakeholders to deliver AI-driven solutions
Skills
- • Strong expertise in Python and SQL
- • Experience with ETL/ELT pipelines and data processing frameworks
- • Hands-on experience with Databricks, Spark/PySpark, Azure Data Factory, or equivalent data platforms
- • Knowledge of data modeling, data lakes, lakehouses, and data warehousing concepts
- • Experience with cloud platforms such as Azure, AWS, or GCP
- • Hands-on experience building GenAI applications using:- OpenAI GPT Models
- • Claude
- • Llama
- • Mistral
- • Gemini
- • Other open-source foundation models
- • Experience with:- Prompt Engineering
- • Fine-Tuning
- • RAG (Retrieval-Augmented Generation)
- • Semantic Search
- • Vector Embeddings
- • Experience developing AI Agents using:- LangChain
- • LangGraph
- • CrewAI
- • AutoGen
- • Semantic Kernel
- • Knowledge of:- Multi-Agent Architectures
- • Agent Orchestration
- • Autonomous Workflows
- • Tool Calling & Function Calling
- • AI Planning & Reasoning Systems
- • Strong understanding of:- Text Classification
- • Named Entity Recognition (NER)
- • Topic Modeling
- • Sentiment Analysis
- • Text Summarization
- • Document Intelligence
- • Information Extraction
- • Experience with:- Hugging Face
- • spaCy
- • NLTK
- • Transformers
- • Hands-on experience with:- Claude
- • GPT-4/GPT-4o
- • Llama 2/3
- • Mistral
- • Gemini
- • Falcon
- • Experience in:- Model Evaluation
- • Fine-Tuning
- • Quantization
- • Model Optimization
- • Prompt Engineering
- • LLMOps
- • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or related fields
- • 7+ years of experience in Data Engineering, AI/ML, or related domains
- • Proven experience delivering production-grade Generative AI and Agentic AI solutions
- • Strong problem-solving and analytical skills
- • Excellent communication and stakeholder management skills
- • Ability to translate business requirements into AI-driven solutions
- • Strong understanding of AI architecture, scalability, governance, and security
- • Hands-on mindset with the ability to rapidly prototype and productionize AI applications
- • Experience with Vector Databases:- Pinecone
- • ChromaDB
- • FAISS
- • Weaviate
- • Azure AI Search
- • Knowledge of MLOps/LLMOps:- MLflow
- • Azure ML
- • Kubeflow
- • Docker
- • Kubernetes
- • Experience with REST APIs, FastAPI, Flask
- • Familiarity with Responsible AI, AI Governance, and Security practices
- • Exposure to Knowledge Graphs and Graph RAG
- • Microsoft Azure AI Engineer Associate Certification
- • Databricks Certified Data Engineer
- • AWS Certified Machine Learning Specialty
- • Experience with enterprise copilots and AI assistants
- • Experience working in regulated industries such as Banking, Healthcare, or Insurance
Benefits
- Remote work
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