Gen AI Tech Lead

Fulcrum Digital; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

An innovative firm is seeking a Tech Lead to drive the technical vision for AI and ML initiatives. In this pivotal role, you will lead the AI Engineering Team, shape strategies for cutting-edge AI projects, and develop advanced solutions using Python and LangChain. Your expertise will be crucial in optimizing AI frameworks and ensuring the scalability of platforms through AWS services. This position offers the chance to mentor a talented team while staying at the forefront of AI technologies. If you are passionate about AI and ready to make an impact, this opportunity is perfect for you.

Qualifications

• Strong passion for AI and ML, with hands-on experience in Python and ML libraries.
• Proven leadership skills and ability to mentor team members.

Responsibilities

• Lead the development of AI/ML frameworks and platforms to optimize AI utilization.
• Establish and scale a high-performing AI team, providing technical leadership.

Skills

AI and ML

Python Programming

Leadership Skills

Problem-Solving

Communication Skills

DevOps Practices

Tools

AWS

LangChain

Terraform

PyTorch

TensorFlow

Hugging Face

Job description

New York, United States | Posted on 02/20/2025

As a Tech Lead in our Platforms and Engineering team, you will play a pivotal role in shaping the technical vision and contributing to the growth of our AI and ML capabilities. This role offers the opportunity to work on innovative AI projects, champion impactful initiatives, and lead the AI Engineering Team. If you have a passion for AI and a strong technical background, we encourage you to apply for this exciting role.

Key Responsibilities:

Technical Leadership
- Design, develop, and maintain AI/ML frameworks and platforms to standardize and optimize AI utilization across the organization.
- Stay updated on industry trends, emerging technologies, and best practices in AI and ML to inform strategy development and ensure competitiveness.
- Direct the exploration and implementation of new AI technologies and methodologies, including Generative AI.

Platform Development
- Lead the development of core platform services integrating Gen-AI, AI, and ML capabilities.
- Design and develop advanced AI solutions using Python, leveraging LangChain for building applications powered by LLMs.
- Build and optimize RAG pipelines using vector databases and embeddings to handle large amounts of structured and unstructured data.

Hands-on Development
- Utilize hands-on development experience with LLMs, including APIs and models from Hugging Face such as Meta's LLAMA models.
- Develop and deploy AI models and algorithms to support real-time and low-latency applications.
- Continuously monitor and optimize AI models to ensure accurate and reliable results.

Cloud and Infrastructure
- Demonstrate strong working knowledge of various AWS services including S3, APIs, RDS, and OpenSearch.
- Ensure the scalability and performance of the platform by leveraging AWS services and infrastructure as code (Terraform).

Team Building and Leadership
- Establish and scale a high-performing AI team, providing technical leadership and setting clear deliverables.
- Mentor and grow team members, helping them evolve in AI and ML.

Solution Development and Implementation
- Design, develop, deploy, and maintain frameworks and platforms to leverage AI and ML across the company.
- Collaborate with the team to produce comprehensive technical documentation and manage project timelines, milestones, and deliverables.
- Participate in automation, monitoring, and alerting strategies to ensure the reliability and efficiency of AI systems.

Requirements

Passion for AI and ML: Strong passion for Gen-AI, AI, and ML, with a commitment to staying updated on industry trends.

Hands-on Development Experience:
- Python programming skills and experience with ML libraries such as Transforms, PyTorch, and TensorFlow.
- Experience with LangChain for developing LLM-powered applications.
- Hands-on experience with LLMs using APIs and Hugging Face models like Meta's LLAMA.
- Experience building RAG pipelines using vector databases and embeddings.

Cloud Services: Strong working knowledge of AWS services including S3, APIs, RDS, and OpenSearch.

Leadership and Communication: Proven leadership skills, excellent communication, and problem-solving abilities.

DevOps Practices: Proficiency in DevOps practices, including CI/CD pipelines, monitoring tools, and infrastructure as code (Terraform).