About the Role

Nuvo AI is looking for a Technical Project Manager to drive the planning, execution, technical coordination, and delivery of complex AI/GenAI and software engineering projects.

The role requires a strong technical background and the ability to work closely with AI/ML Engineers, Full-Stack Developers, Data Engineers, and QA/SDET teams.

This is not a traditional project coordination role. We are looking for someone who understands software architecture, AI/GenAI, APIs, databases, data pipelines, search, testing, and up-to-date application development, and can translate business/product requirements into executable technical plans.

The Technical Project Manager will act as the technical bridge between Product/Business stakeholders and engineering teams, ensuring that technical dependencies are identified, risks are managed, teams are aligned, and projects are delivered successfully.

Required Skills & Experience

Must Have

- 7–12 years of overall experience in software/technology projects.
- Strong technical background in software engineering, architecture, AI/ML, or data engineering.
- 3+ years of experience in Technical Project Management / Technical Program Management / Technical Delivery / Engineering Leadership.
- Experience managing cross-functional technical teams.
- Experience working with AI/ML or Generative AI projects.
- Strong understanding of LLMs, RAG, embeddings, vector databases, or AI-powered applications.
- Good understanding of Full-Stack application architecture.
- Good understanding of data pipelines, databases, APIs, and search technologies.
- Experience working closely with QA/SDET teams.




- Strong understanding of Agile/Scrum methodologies.
- Strong technical problem-solving and dependency-management skills.
- Excellent communication and stakeholder-management skills.

Preferred / Good to Have
- Experience working on AI-native SaaS platforms.
- Experience with Patent Intelligence, Legal Tech, Document Intelligence, Knowledge Management, or Search platforms.
- Experience handling large-scale structured/unstructured datasets.
- Experience with semantic or enterprise search systems.
- Experience working with AI-powered enterprise applications.
- Previous experience as a Software Engineer, Full-Stack Engineer, AI/ML Engineer, Data Engineer, Tech Lead, Solution Architect, or Engineering Lead.
- Hands-on coding or architecture experience.
- Experience taking products from requirements → development → testing → deployment → production.

Technical Skills

Candidates should have strong working knowledge of several of the following:

AI / GenAI

- LLMs
- Generative AI
- RAG
- AI Agents / Agentic AI
- NLP
- Embeddings
- Vector Databases
- Semantic Search
- AI Evaluation

Backend

- Node.js
- Express.js
- Python
- FastAPI
- REST APIs
- Microservices

Frontend

- React.js
- Next.js
- TypeScript
- Redux

Data

- SQL
- PostgreSQL / MySQL
- MongoDB
- ETL/ELT




- Data Pipelines
- Data Modelling
- Data Quality
- Search Indexing

Search

- Elasticsearch
- OpenSearch
- Vector Search
- Semantic / Hybrid Search

Cloud & DevOps

- AWS
- Docker
- CI/CD
- Git

Project Management

- Jira
- Confluence
- Agile/Scrum
- Sprint Planning
- Release Management
- Risk & Dependency Management

Ideal Candidate Profile

We are looking for someone who has grown from a strong technical/engineering background into a Technical Project Management or technical delivery role.

The ideal candidate should be capable of having meaningful technical discussions with:

AI Engineers about LLM/RAG/Agents,

Data Engineers about data pipelines and data architecture,

Full-Stack Engineers about APIs, application architecture and integrations,

and QA/SDET Engineers about automation, API testing and AI quality.

The candidate should be able to understand a technical problem, identify dependencies, coordinate the right teams, drive resolution, and ensure successful delivery.

What Success Looks Like In this role, you will be successful when you can:

- Convert complex product requirements into clear technical execution plans.
- Keep AI, Data, Full-Stack, and QA teams aligned.
- Identify technical dependencies before they become blockers.
- Drive timely resolution of technical issues.
- Maintain engineering quality while meeting delivery timelines.
- Communicate technical challenges clearly to management.
- Drive projects from planning through production delivery.
- Build an efficient and accountable engineering delivery process.

📌 Technical Project Manager (Vapi)
🏢 Nuvo AI
📍 Vapi