Generative AI Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Generative AI Engineer in Charlotte, NC, on a contract basis. Pay rate is "unknown." Requires 5+ years in Python and AWS, hands-on experience with LangChain, and expertise in LLMs like Anthropic Claude.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 15, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
On-site
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Charlotte, NC
🧠 - Skills detailed
#Leadership #DevOps #Jira #S3 (Amazon Simple Storage Service) #AWS (Amazon Web Services) #Programming #SharePoint #AI (Artificial Intelligence) #Langchain #Cloud #Security #Eclipse #EC2 #Python #Transformers #TensorFlow #Docker #Lambda (AWS Lambda) #API (Application Programming Interface) #"ETL (Extract #Transform #Load)" #ML (Machine Learning) #Scala #Java #Documentation #Model Evaluation #Libraries #JavaScript #Kubernetes #PyTorch #Computer Science #SageMaker
Role description

Position: Generative AI (Gen AI) Developer/Lead

Location: Charlotte, NC

Type: Contract

Note:

   • We want to check on Hands-on skill.

   • LangChain and Python coding skill set

   • AWS Service related along with Python and LangChain, Lambda.

Who are we looking for?

We are seeking a highly skilled and hands-on Generative AI Lead to design and develop cutting-edge AI-driven frameworks that automate software engineering processes. The ideal candidate will have deep expertise in AWS Services, Bedrock APIs, Anthropic Claude LLM, and the LangChain framework. You will play a pivotal role in creating an Agentic Framework that leverages Generative AI to enhance the productivity and experience of developers, testers, and other engineering roles.

Key Responsibilities:

· Design and Develop Generative AI Frameworks:

o Design and implement scalable, AI-driven frameworks to automate software engineering processes.

o Leverage AWS Services, Bedrock APIs, Anthropic Claude LLM, and LangChain to build robust and efficient solutions.

o Create an Agentic Framework that integrates seamlessly with existing development workflows.

· Collaborate with Cross-Functional Teams:

o Work closely with developers, testers, and other stakeholders to understand their needs and design AI solutions that enhance their productivity.

o Provide technical leadership and mentorship to engineering teams.

· Optimize AI Models and Workflows:

o Fine-tune and optimize LLMs (e.g., Anthropic Claude) for specific use cases in software engineering.

o Implement best practices for prompt engineering, model evaluation, and performance optimization.

· Integrate with AWS Ecosystem:

o Utilize AWS services such as Lambda, S3, EC2, SageMaker, and Bedrock to build and deploy AI solutions.

o Ensure secure, scalable, and cost-effective implementations.

· Develop Developer-Centric Tools:

o Build tools and APIs that provide a seamless experience for developers and testers.

o Create intuitive interfaces and documentation to enable easy adoption of AI-driven workflows.

· Stay Ahead of Industry Trends:

o Continuously research and experiment with emerging technologies and frameworks in Generative AI.

o Propose innovative solutions to stay ahead of the curve in AI-driven software engineering.

Qualifications:

· Required Skills and Experience:

o Minimum of a bachelor’s degree in computer science or equivalent.

o 5+ years of development experience in Python, AWS Cloud services.

o Java and other language experience is preferred.

o Experience with VSCode and Eclipse IDEs, Rally or Jira ALM tools, Confluence and SharePoint Collaboration tools.

o Familiarity with functional, performance, and security testing tools.

· Hands-On Experience with Generative AI:

o Proven experience working with Large Language Models (LLMs) such as Anthropic Claude, OpenAI GPT, or similar.

o Experience building AI-driven applications leveraging LangChain, Lang graph, or similar frameworks.

o Strong proficiency in Python and experience with AI/ML-focused libraries (e.g., PyTorch, TensorFlow, LangChain, Transformers).

o Experience in Prompt engineering using foundational models. Familiarity in leveraging RAG techniques and finetuning of models.

· AWS Expertise:

o In-depth knowledge of AWS Services (e.g., Lambda, S3, SageMaker, Bedrock, API Gateway, EKS).

Preferred Skills:

· Experience with additional programming languages such as JavaScript, Go, or Rust.

· Knowledge of containerization and orchestration tools like Docker and Kubernetes.

· Experience building required AWS services using cloud formation scripts

· Familiarity with CI/CD pipelines and DevOps practices.

· Strong problem-solving skills and the ability to work in a fast-paced environment.

· Excellent communication and collaboration skills