AI/ML Engineer -NLP and Generative AI

Overview

Hybrid
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

NLP
Generative AI
AI/ML
AWS
LangChain
LangGraph
SageMaker
Bedrock
Lambda
Step Functions
DynamoDB

Job Details

Senior AI/ML Engineer NLP & Generative AI

Location: Malvern PA (Hybrid)

We are looking for a Senior AI/ML Engineer to design and scale next-generation AI applications leveraging Natural Language Processing (NLP), Generative AI, and AWS-native machine learning systems. This is a hands-on role where you ll build production-ready models, architect LLM-driven workflows, and deliver real-world impact.

What You ll Do

Design and deploy intent detection, classification, and entity recognition models.

Build natural language generation (NLG) pipelines for chatbots, summarization, and content creation.

Architect and implement LLM workflows using LangChain and LangGraph (agents, RAG systems, orchestration).

Develop and scale machine learning pipelines on AWS (SageMaker, Lambda, Bedrock, Step Functions, DynamoDB).

Fine-tune and integrate foundation models via AWS Bedrock (Claude, Titan, LLaMA, etc.).

Partner with product, research, and engineering teams to translate business needs into AI-first solutions.

Lead experimentation, A/B testing, and continuous model evaluation.

Mentor junior ML engineers and contribute to MLOps, governance, and responsible AI best practices.

What We re Looking For

4+ years in AI/ML engineering with strong focus on NLP and Generative AI.

Proven experience building production-ready intent detection, text classification, and NLG models.

Hands-on with LangChain, LangGraph, vector databases (FAISS, Pinecone, Weaviate).

Deep expertise in AWS ML stack (SageMaker, Bedrock, Lambda, Step Functions, DynamoDB).

Proficiency in Python and ML frameworks (PyTorch, HuggingFace, scikit-learn).

Strong MLOps knowledge: model versioning, CI/CD, monitoring, and scaling.

Experience working with both open-source LLMs (LLaMA, Mistral, Falcon) and commercial APIs (Claude, GPT-4, Titan).

Nice to Have

Experience with RAG (Retrieval-Augmented Generation) at scale.

Familiarity with Amazon OpenSearch, Pinecone, or Weaviate for vector search.

Exposure to streaming data systems (AWS Kinesis, Kafka).

Contributions to open-source AI/ML or NLP projects.

Zafar Khan

Technical Recruiter

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