Turing

AI Engineering Lead

Turing$220K — $300K *
Enterprise Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 12+ years of professional software engineering experience
  • 2+ years of hands-on experience with LLMs and multi-agent systems
  • Expert proficiency in Python, Langgraph, and SQL
  • Experience architecting GenAI applications with various frameworks and cloud services
  • Proficient in AI observability tools like Langsmith and Langfuse
  • Proficient in cloud services (Azure, GCP, AWS) for GenAI applications
  • Strong communication skills for collaboration with business stakeholders

Responsibilities

  • Build and own the technical roadmap based on business requirements
  • Lead the engineering team to ensure timely execution of projects
  • Design multi-agent architectures with dynamic routing capabilities
  • Mentor the engineering team and share best practices in ML and LLM development
  • Lead development of LLM-based solutions using techniques like RAG and multi-agent architectures
  • Maintain high-quality, efficient code, focusing on scalability and performance
  • Collaborate with cross-functional teams to define project requirements and deliver impactful AI products

Benefits

  • Collaborative and supportive work culture with a 5-day work week
  • Opportunity to work alongside top talent from leading companies
  • Competitive compensation package
  • Flexible working hours
Full Job Description
About the role:

Turing is looking for people with GenAI experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing Intelligence delivery organization and part of a GenAI project. You will be required to lead a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems and LLM deployments for major enterprises.

Required skills:
  • 12+ years of professional experience in software engineers and building applications/systems
  • 2+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly multi-agent systems.
  • Expert proficiency in programming skills in Python, Langgraph and SQL is a must.
  • Expert in architecting GenAI applications/systems using various frameworks & cloud services
  • Expert proficiency in using AI tools like claude code, codex, cursor, windsurf and the likes.
  • Expert proficiency in AI observability & evaluation tools like Langsmith, Langfuse or similar
  • Good proficiency in using various cloud services from Azure, GCP, or AWS for building the GenAI applications
  • Experience in driving the engineering team toward a technical roadmap.
  • Excellent communication skills to effectively collaborate with business SMEs

Roles & Responsibilities:
  • Solutioning & Lead
    • Build the technical roadmap given a business requirement and own the delivery of the same.
    • Lead the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfaction.
    • Design robust multi-agent architectures including supervisor-router patterns with dynamic sub-agent routing and stopping conditions
    • Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
  • Hands-on skills
    • Develop LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like retrieval-augmented generation (RAG) and multi-agent based architectures.
    • Build and maintain agent evaluation pipelines, including offline eval datasets, LLM-as-judge, and CI-integrated eval runs
    • Codebase ownership: Build & maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
    • Cloud integration: Deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
  • Communication
    • Actively follows the frontier and has differentiated, up-to-date views on model releases, agentic architectures, evaluation methods, tool-use and computer-use patterns, multimodal capability, reasoning/test-time compute trends, and the serious open questions in the field.
    • Produce a structured, high-signal answer to an open-ended technical or strategic question - while modulating depth for a non-engineering executive audience.
  • Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.

Salary: $220k - $300k base

Values
  • We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
  • We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
  • We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing

  • Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
  • Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
  • Competitive compensation
  • Flexible working hours

Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

For applicants from the European Union, please review Turing's GDPR notice here.

About Turing

Turing is a technology company that provides a platform for companies to hire remote software developers. The company's platform uses artificial intelligence to match companies with developers who have the skills and experience they need. Turing was founded in 2018 and is headquartered in San Francisco, California. The company has raised $32 million in funding to date.
Learn more about Turing
Size
200 employees
Industry
Founded
2018

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