Turing.com review by ex-Facebook engineer

"The culture and experience at Turing is at par with Silicon Valley companies"

- Parv, ML Engineer from India

Parv sharing his Turing.com review

Parv, a former Facebook engineer, shared his Turing.com review in an exclusive interview with Turing Newsdesk and said that the company’s value proposition gave him access to the world’s best career opportunities. He also added that his role at Turing gave him an opportunity to interact with a diverse group of colleagues from around the world.

Life before Turing jobs

Parv is an ML engineer based out of Mumbai, India. Having studied computer science at the Georgia Institute of Technology, Parv has over eight years of experience in building platforms and production-ready machine learning and deep learning systems.

Parv’s exceptional knowledge and understanding of his subject helped him start his career with a bang. “I was with Facebook at their Silicon Valley and New York offices. I helped build a generic machine learning platform that every team uses across the company, and also worked on increasing users’ engagement with Ads,” he recalls.

“Then I moved to Instagram and created a system that would deliver a better user experience on the Hashtag pages by increasing the quality and relevancy of the images shown. I progressed rapidly from an engineer to a Tech Lead in the 5 years at Facebook.’’

After spending many years away, Parv decided to return home and spend more quality time with his family and friends. But having lived a fast life, he didn’t want to put the brakes on his career. “ I wanted to make sure that my rapid career growth continued at the same pace, despite moving out of Silicon Valley,” he says.

How did he learn about Turing US software jobs?

Being always on the lookout for relevant opportunities, Parv came across a Turing job ad on Facebook and wasted no time applying.

“Turing’s value proposition of giving me access to the world’s best career opportunities, no matter where I lived, was very compelling to me. In a few hours, I completed Turing’s tests and interviews related to Machine Learning and Data Science. Within two weeks, they offered me the position of Lead ML Engineer. I accepted,” he shares.

How has his journey with Turing.com been so far?

Since joining Turing, Parv has realised that you don't need to be away from your family to work with international industry leaders.

“Every day, I get to interact with a diverse group of colleagues from around the world and work together on products that are defining the future of work. It’s very exciting to build novel Machine Learning technologies to help solve the trillion-dollar problem of matching talent with opportunity at a global scale.”

What’s his take on Turing developers?

Being a Turing developer means you work with some of the best professionals in the world. “Working on challenging problems and collaborating with very talented colleagues from all over the world has contributed significantly to my continuous growth,’’ he mentions.

What's the final verdict?

“Having lived and worked in Silicon Valley, I can state firsthand that the culture and experience created at Turing is at par with the world’s best companies,” he concludes.

Interested in working with the best US companies while living anywhere in the world? Click here to go #Boundaryless with Turing.

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Principal GenAI Engineer

Title - Sr./Staff/Principal GenAI Engineer

Location - NYC, NY (Onsite)

Fulltime


About Turing

Based in Palo Alto, California, Turing is the world’s first AI-powered tech services company. It has reimagined tech services from the ground up with AI by offering AI-vetted and matched talent, AI-accelerated development, and access to AI transformation experts who have built many of the most iconic Silicon Valley companies.

Founded in 2018, the company has experienced tremendous growth with over two million global developers on its Talent Cloud and 900+ clients. Turing has received numerous awards, including Forbes’s 2022 “One of America’s Best Startup Employers,” being ranked #1 in The Information’s 2021 Annual List of most promising B2B Companies and Fast Company’s “Annual List of the World’s Most Innovative Companies.”

The company’s leadership team comprises both AI technologists from leading organizations including Meta, Google, Microsoft, Apple, Amazon, Twitter, Stanford, Caltech, MIT as well as tech consulting veterans from Accenture, Cognizant, Capgemini, McKinsey, Bain, and more.


About the role:

Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of  a GenAI project. You will be required to work with 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, RAG systems, and Open Source LLM deployments for major enterprises.



Mandatory Knowledge:

  • Agentic AI/Langgraph
  • MCP
  • Graph DB


Required skills:

  • 8+ years for Sr GenAI Engineer and 10+ years for Staff/Principal GenAI Engineer, of professional experience in building Machine Learning models & systems
  • 3+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents.
  • Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
  • Understanding of Cloud services from various cloud services from Azure, GCP, or AWS for building the GenAI applications
  • Excellent communication skills to effectively collaborate with business SMEs

Roles & Responsibilities

  • Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
  • Codebase ownership: 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: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
  • 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.
  • Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
  • Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.


Vetting Process

  • Technical Discussion Zoom (Live Coding while sharing screen) - 1 hour
  • Delivery Connect - ½ Hour (Zoom)
  • In person interview at NYC, NY
Finance
251-10K employees
Artificial IntelligenceLLM
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Python Gen AI

Principal GenAI Engineer – Backend / Fullstack

Location: Mumbai (3 Days WFO)
Employment Type: Full Time
Experience Level: Principal (5-9 years)

About the Role

Turing is hiring a Principal GenAI Engineer to lead enterprise-scale AI implementations for Fortune 500 clients. This role focuses on designing and building scalable, production-grade GenAI systems powered by LLMs, Retrieval-Augmented Generation (RAG), and agent-based architectures.

You will work at the intersection of backend/fullstack engineering and applied AI, building reliable, high-performance systems that integrate LLM capabilities into real-world applications.

What We’re Looking For

  • 5-9 years of experience in software engineering (backend or fullstack)
  • 2+ years of hands-on experience with LLMs (RAG, agents, prompt engineering)
  • Strong experience building production-grade distributed systems
  • Proficiency in Python 
  • Strong experience with SQL & NoSQL databases
  • Hands-on experience with LangChain, LangGraph, or similar frameworks
  • Experience deploying systems on AWS / Azure / GCP
  • Strong understanding of APIs, microservices, and system design

Key Responsibilities

  • Design and build scalable GenAI applications using LLMs and RAG pipelines
  • Develop and optimize backend services and APIs for AI-powered systems
  • Build and deploy agent-based workflows and orchestration systems
  • Integrate LLMs into real-world enterprise applications
  • Ensure performance, scalability, and reliability of AI systems in production
  • Collaborate with product, data, and engineering teams to deliver end-to-end solutions
  • Implement monitoring, evaluation, and guardrails for GenAI systems

Good to Have

  • Experience with vector databases (Pinecone, Weaviate, FAISS, etc.)
  • Exposure to frontend frameworks (React, Next.js) for fullstack roles
  • Familiarity with CI/CD pipelines and DevOps practices
  • Understanding of model evaluation, fine-tuning, or LLMOps
  • Experience building multi-tenant or enterprise SaaS platforms

Why Join Turing

  • Work on cutting-edge GenAI use cases with global enterprises
  • Opportunity to build real-world AI systems at scale
  • High ownership and leadership in technical decision-making
Finance
251-10K employees
PythonNode.jsJava+ 6
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