Lead AI Engineer

Itransition; Union (NJ); A distancia; USD 140.000 - 200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Career development

Flexible working hours

Remote options

Medical insurance

English courses online

Corporate events and learning sessions

Paid sick leave

Descripción de la vacante

Itransition Group is seeking a Lead AI Engineer to design and deliver end-to-end AI solutions, including chatbots and agent workflows, aligned with client goals. You will build robust data pipelines, optimize model performance, and ensure security and compliance across deployments.

Join a team that works with cutting-edge LLM platforms and a variety of frameworks, maintaining a strong focus on measurable business value and scalable AI systems.

Formación

• Advanced Python skills with practical experience in web frameworks (e.g., FastAPI).
• Solid lifecycle knowledge for AI-powered applications.
• Hands-on exposure to leading LLM platforms and APIs (OpenAI, Anthropic, Bedrock, Gemini).
• Understanding of RAG and Agents approaches.
• Track record deploying AI systems in production.
• Ability to assess AI output quality using metrics and evaluation techniques.
• Hands-on experience in AI engineering and ML-based solutions.
• Strong problem-solving, attention to detail, and collaboration skills.

Responsabilidades

• Build, launch, and maintain full-cycle AI products.
• Partner with customers to uncover goals and propose tailored LLM-powered solutions.
• Create and maintain data processing pipelines for AI models.
• Monitor and optimize AI systems for correctness, security, scalability, and compliance.
• Run exploratory research and fast prototypes to test feasibility and value.
• Stay updated on the evolving LLM landscape and new models/techniques.

Conocimientos

Python programming

ML lifecycle

LLM platforms & APIs

AI engineering

Problem solving

Communication

Team collaboration

RAG integration

Quality evaluation

Herramientas

FastAPI

OpenAI

Anthropic

Amazon Bedrock

Gemini

LangGraph

LlamaIndex

Strands Agents

Descripción del empleo

We are looking for a Lead AI Engineer to join the team and take charge of designing and developing end-to-end AI solutions, including chatbots and agent workflows. As a Lead AI Engineer, you will work closely with clients and build tailored solutions powered by LLMs that address specific business objectives.

office remote European Union

Requirements

• Advanced Python skills, including practical experience with web frameworks such as FastAPI or comparable tools
• A solid grasp of the full lifecycle involved in building AI-powered applications
• Hands-on exposure to leading LLM platforms and APIs — OpenAI, Anthropic, Amazon Bedrock, Gemini — along with ecosystem tools like LangGraph, LlamaIndex, Strands Agents, and similar
• Understanding of AI integration approaches, such as RAG, Agents
• Track record of rolling out AI systems in production
• Demonstrated ability to assess generative AI output quality using retrieval and classification metrics, as well as LLM-based evaluation techniques
• Hands-onexperience in AI engineering and delivering ML-based solutions
• Strong problem-solving skills and attention to detail
• Strong communication, teamwork, and relationship-building skills

Responsibilities

• Build, launch, and maintain full-cycle AI products
• Partner with customers to uncover their goals and propose LLM-powered solutions tailored to their context
• Create and maintain reliable data processing pipelines that ensure the accuracy and efficiency of AI models
• Monitor and optimize AI system performance, with a focus on correctness, security, scalability, and compliance with relevant regulations
• Run exploratory research and fast prototypes to test technical feasibility and demonstrate the business value of AI solutions
• Stay updated onthe rapidly changing LLM landscape - new models, frameworks, and techniques

We offer

• Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota
• Competitive compensation that depends on your qualification and skills
• Career development system with clear skill qualifications
• Flexible working hours aligned to your schedule
• Options to work remotely
• Corporate medical insurance covering services of private and public medical centers
• English courses online
• Corporate parties and events for employees and their children
• Internal conferences, workshops and meetups for learning and experience sharing
• 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate