Turing
About this role
Turing works with frontier AI labs and large enterprises, and this role sits in its generative AI delivery organisation building systems for Fortune 500 customers. Past work named in the posting includes multi agent LLM systems, retrieval augmented generation systems and open source LLM deployments. The experience split is worth reading carefully: eight years of hands on engineering overall, four to six of those specifically building and deploying AI and ML systems, but only one year or more of generative AI and LLM application work. That last figure is far lower than the title implies and is the detail most people will miss. The required stack is Python with LangChain or LangGraph and SQL, across Azure, GCP or AWS. Bengaluru.
Who this is for
What the posting asks for:
- 8+ years of professional, hands on engineering experience.
- Within that, 4 to 6+ years specialising in building and deploying AI and ML models and systems.
- 1+ year of experience developing generative AI and LLM applications using techniques such as prompt engineering, RAG and agents. Note how much lower this figure is than the seniority of the title suggests.
- Expertise architecting generative AI applications and systems using various frameworks and cloud services.
- Good proficiency with cloud services from Azure, GCP or AWS for building generative AI applications.
- Expert proficiency in Python, LangChain or LangGraph, and SQL. The posting says this is a must.
- Experience driving an engineering team towards a technical roadmap.
- Strong communication skills for working with business subject matter experts.
Day to day: building the technical roadmap from a business requirement and owning delivery; leading the design, training, fine tuning and deployment of large language models using prompt engineering, retrieval augmented generation and agent architectures; maintaining high quality Python and SQL with reusable, scalable components; deploying generative AI applications on cloud platforms with robust CI/CD; and collaborating across product and business teams.
A note on scope: the posting says you lead the engineering team towards a technical roadmap and ensure timely execution. We read that as technical leadership rather than people management, since no hiring, performance or reporting duties appear anywhere in the posting. Turing does run separate roles that are explicitly people management, and this is not one of them.
Location and office reality: Bengaluru. Turing itself is headquartered in San Francisco. No office day policy is published on this posting.
Honest fit guidance: if you have eight years of engineering with several in ML and only about a year of hands on LLM work, you meet this posting as written. That is a genuinely more open door than the Principal title suggests, and it is the reason this role is worth a look.
- 8+ years of professional, hands on engineering experience.
- Within that, 4 to 6+ years specialising in building and deploying AI and ML models and systems.
- 1+ year of experience developing generative AI and LLM applications using techniques such as prompt engineering, RAG and agents. Note how much lower this figure is than the seniority of the title suggests.
- Expertise architecting generative AI applications and systems using various frameworks and cloud services.
- Good proficiency with cloud services from Azure, GCP or AWS for building generative AI applications.
- Expert proficiency in Python, LangChain or LangGraph, and SQL. The posting says this is a must.
- Experience driving an engineering team towards a technical roadmap.
- Strong communication skills for working with business subject matter experts.
Day to day: building the technical roadmap from a business requirement and owning delivery; leading the design, training, fine tuning and deployment of large language models using prompt engineering, retrieval augmented generation and agent architectures; maintaining high quality Python and SQL with reusable, scalable components; deploying generative AI applications on cloud platforms with robust CI/CD; and collaborating across product and business teams.
A note on scope: the posting says you lead the engineering team towards a technical roadmap and ensure timely execution. We read that as technical leadership rather than people management, since no hiring, performance or reporting duties appear anywhere in the posting. Turing does run separate roles that are explicitly people management, and this is not one of them.
Location and office reality: Bengaluru. Turing itself is headquartered in San Francisco. No office day policy is published on this posting.
Honest fit guidance: if you have eight years of engineering with several in ML and only about a year of hands on LLM work, you meet this posting as written. That is a genuinely more open door than the Principal title suggests, and it is the reason this role is worth a look.
Apply on company site
Opens job-boards.greenhouse.io, the employer's own application page. Applying is always free.