Protolabs

AI Engineering Manager

Posted 23 Days Ago

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Hyderabad, Telangana, IND

Hybrid

Senior level

3D Printing • Other

The Role

Lead design and delivery of production-grade GenAI systems (LLMs, RAG, embeddings, vector search). Architect cloud-native AI solutions, drive MLOps, CI/CD, deployment, monitoring, and collaborate with product and engineering teams in Agile delivery.

Summary Generated by Built In

Be yourself at Protolabs

Studies have shown that women and people of colour are less likely to apply to jobs unless they meet every single qualification.  We are an equal opportunity employer, and we are committed to building a diverse team that feels they are valued in the workplace.  So do you feel you do not meet every single requirement but still intrigued? We encourage you to still apply!  You can help make our company even better.  We do not discriminate based on race, colour, national origin, sexual orientation, gender, age, mental or physical ability, or any way you represent yourself.  We strongly believe diversity makes for more successful teams.

Why Protolabs?

We are the leaders in digital manufacturing. We hire doers, makers, and creative thinkers who tackle our roles with an entrepreneurial spirit. Our culture is centered around meaningful work that brings new and innovative products to market at unprecedented speeds. We are a diverse team that comes from all walks of life and take pride in our team who is smart, genuine, humble, and passionate about what we do. It’s our people who fuel our creativity and make our culture feel like home.

Role - AI Tech Lead

Key Competencies Technical

5+ years of hands-on AI/ML engineering experience, including modern deep learning, LLMs, transformers, vector stores, retrieval techniques, and model evaluation.  Strong Python engineering skills and experience with core AI frameworks such as PyTorch, TensorFlow/Keras, and GenAI stacks like LangChain, LangGraph, LlamaIndex, and OpenAI/Azure/AWS SDKs.  Proven ability to evaluate build vs buy vs adapt decisions based on cost, effort, risk, and long-term maintainability.  Cloud-native AI development, preferably on AWS (SageMaker, Bedrock), with experience building scalable, secure, and compliant production systems.  Demonstrated experience with production-grade GenAI systems, including RAG pipelines, hybrid search, embedding strategies, and agentic workflows.  Strong MLOps background: CI/CD, model deployment, monitoring/observability, IaC, and workflow orchestration using tools like Prefect and Weights & Biases, or equivalents.  Experience with vector databases, scalable retrieval architectures, guardrailing LLMs and prompt engineering.  Familiarity with modern AI system design, including API serving, containerization (Docker), and distributed compute. Leadership & Collaboration  Experience working in Agile environments, including running or contributing to Scrum ceremonies, breaking down work into increments, and collaborating closely with TPM and EM in iterative delivery.  Ability to lead a team through ambiguity and early-stage environments.  Proactive style and strong ability for systematic problem solving.  Excellent communication capabilities across global departments.  Critical thinking in uncertain or rapidly evolving contexts.

What to expect in the hiring process

Alignment call

Kick-off with an initial screening with one Talent Acquisition Partners, not really an interview, but the chance to learn more about how we do things, our process and a chance for you to ask all the things you want to know

Interview

A deeper dive into the role, what we're looking for the hiring manager and you to get to know one another

Further interviews

We always try to streamline our recruitment process as much as possible but may sometimes need to carry out further interviews. This may be to meet other members of the team or more senior employees. It may also be an opportunity to see the site or working area

Skills Required

5+ years of hands-on AI/ML engineering experience including deep learning, LLMs, transformers, vector stores, retrieval techniques, and model evaluation.
Strong Python engineering skills.
Experience with core AI frameworks such as PyTorch, TensorFlow/Keras.
Experience with GenAI stacks and libraries such as LangChain, LangGraph, LlamaIndex and OpenAI/Azure/AWS SDKs.
Cloud-native AI development experience, preferably on AWS (SageMaker, Bedrock).
Proven experience building production-grade GenAI systems, including RAG pipelines, hybrid search, embedding strategies, and agentic workflows.
Strong MLOps background: CI/CD, model deployment, monitoring/observability, IaC, workflow orchestration (e.g., Prefect) and experiment/metrics tooling (e.g., Weights & Biases).
Experience with vector databases and scalable retrieval architectures.
Knowledge of guardrailing LLMs and prompt engineering.
Familiarity with API serving, containerization (Docker), and distributed compute.
Experience working in Agile environments and participating in Scrum ceremonies, collaborating with TPMs and EMs.
Strong communication, critical thinking, and ability to lead teams through ambiguity.

Protolabs Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Protolabs and has not been reviewed or approved by Protolabs.

Healthcare Strength — Medical, dental, and vision options are broadly available and described as good to excellent. Additional protections like short- and long-term disability and life insurance bolster the overall package.
Leave & Time Off Breadth — A starting PTO allotment plus paid holidays, along with added wellness and volunteer time, is emphasized, with some roles noting PTO growth over tenure. Paid caregiver leave appears in postings and supports flexibility for life events.
Retirement Support — A 401(k) with company match and immediate vesting is offered, supporting long-term savings. This foundation is frequently cited alongside core financial benefits as a strong element of total rewards.

Learn more about Protolabs's Compensation & Benefits →

Protolabs Insights

What's It Like to Work at Protolabs? Protolabs Culture & Values Protolabs Career Growth & Development What's the Work-Life Balance Like at Protolabs? Protolabs Leadership & Management Protolabs Company Growth, Stability & Outlook

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The Company

HQ: Maple Plain, MN

1,085 Employees

What We Do

Protolabs is the world's fastest digital manufacturing source for rapid prototyping and on-demand production. The technology-enabled company produces custom parts and assemblies in as fast as 1 day with automated 3D printing, CNC machining, sheet metal fabrication, and injection molding processes. Our digital approach to manufacturing enables accelerated time to market, reduces development and production costs, and minimizes risk throughout the product life cycle. 3D Printing Our 3D printing service offers a wide selection of materials and technologies to create prototypes and end-use parts with complex geometries and detailed features. With tight process controls, careful design reviews, and extensive quality monitoring, we ensure precise and repeatable 3D-printed parts, every time. CNC Machining We use 3- and 5-axis milling along with turning to machine parts from commercial-grade plastics and metals. Our online quoting system and automated manufacturing process enable us to ship parts within 24 hours, helping customers accelerate development and reduce time to market. Sheet Metal Fabrication Protolabs is an industry leader in quick-turn sheet metal parts for both prototyping and low-volume production. Our digital approach to manufacturing enables us to fabricate sheet metal parts in as fast as 5 days. Additionally, we can support our customers’ development efforts with component assemblies, several finish options, and screen printing. Injection Molding Our injection molding service offers two options—prototyping and on-demand manufacturing—which provide customers a tooling solution that aligns with their project’s requirements. It’s used for quick-turn prototyping, bridge tooling, and low-volume production of up to 10,000+ parts in 15 days or less.