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Engineering Lead - Full Stack, Data & AI

Engineering Lead - Full Stack, Data & AI

Bloom AI
Early Applicant
  • Posted 23 hours ago
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Job Description

About Bloom AI

Bloom AI builds AI-native intelligence systems and workflows for enterprise teams across research, marketing, sales and other knowledge-intensive functions.

We combine enterprise data, external intelligence, AI and software engineering to help organizations build systems that continuously understand context, generate intelligence and support action.

Our model sits between traditional product companies and services firms. We build reusable technology and engineering patterns, while deploying them against real enterprise problems and adapting them to different client environments.

Bloom AI in based in U.S. and India (Delhi/NCR). This will be a hybrid work set-up.

The Role

We are looking for a hands-on Engineering Lead who can lead the design and delivery of modern AI and data applications, while managing a small team of engineers. The role reports to the Founder/CEO.

This is a broad engineering role and we are looking for someone with strong engineering fundamentals, good architectural judgment and enough range across software, data, cloud and AI to lead end-to-end solutions.

You will remain hands-on, lead a team of approximately 3–5 engineers, work directly with clients and help shape how Bloom builds and scales its technical capabilities.

This is not a pure product role. You will work across client solutions, reusable Bloom capabilities and internal technology. The challenge is to solve specific enterprise problems while continuously identifying what can be standardized, reused and improved across engagements.

What You'll Do

Own the technical delivery of AI and data applications from:

problem definition → architecture → build → deployment

You will work across systems that may include:

  • Modern web applications
  • Backend services and APIs
  • Structured and unstructured data
  • Data pipelines and processing
  • LLM-powered applications
  • Retrieval and search
  • Agentic workflows
  • Enterprise integrations
  • Cloud infrastructure

You do not need to build every layer yourself, but you should understand how the pieces fit together and be able to make sound technical decisions across the system.

Stay Hands On

This is not a pure management role.

You will be expected to:

  • Write and review production code
  • Build critical components yourself
  • Debug complex technical issues
  • Review system design and architecture
  • Prototype new approaches quickly
  • Help the team solve technically difficult problems

We expect you to be strongest in a few areas while being comfortable working across the broader stack.

Lead Small Engineering Team

Lead approximately 3–5 engineers across client engagements and internal development.

You will:

  • Set technical direction
  • Break complex problems into executable work
  • Review code and architecture
  • Mentor engineers
  • Maintain engineering quality
  • Manage technical priorities across multiple workstreams
  • Ensure solutions are reliable, maintainable and scalable

We are looking for someone who can raise the engineering bar while still helping the team move quickly.

Work Across Clients

Engineering at Bloom is client-facing.

You will work with both business and technical stakeholders to:

  • Understand business workflows
  • Translate problems into technical solutions
  • Assess feasibility
  • Define architecture
  • Explain technical trade-offs
  • Present prototypes and solutions
  • Work through enterprise technology constraints
  • Support deployment and adoption

You should be comfortable explaining technical decisions clearly without relying on unnecessary jargon.

What We're Looking For

  • 5–7 years of software engineering experience
  • Strong hands-on software development experience
  • Experience owning applications or systems end-to-end
  • Strong Python / backend development skills
  • Strong AI Experience and update knowledge of developments
  • Team leadership skills
  • Good understanding of modern frontend development
  • Experience designing and building APIs
  • Strong SQL and database fundamentals
  • Experience working with data-intensive applications
  • Production experience with at least one major cloud platform
  • Good understanding of software architecture, testing and deployment

Why Bloom AI

We have an exciting roadmap and client problems that we are working on. You will join a team building the future model of AI in enterprise. You will be a part of core leadership team reporting to the CEO.

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