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ValueLabs - Full Stack Lead/Architect

VALUELABS SOLUTIONS LLP
6 - 11 Years
Hyderabad

Posted on: 03/07/2026

Job Description

We're seeking a Full Stack Engineer to join us in solving real-world challenges, with strong expertise in Gen AI and Agentic AI integrations, along with hands-on experience in architectural design. This is a Lead-level role with an Architectural focus ideal for someone who thrives at the intersection of innovation, scalability, and intelligent system design.

About the Role :

- You will work on real-world problems, directly with teams and stakeholders, and build solutions that matter.

- As a Forward Deployed Engineer, your focus is simple solve problems, whatever it takes, without compromising on quality, reliability or compliance.

- Use any technology. Move fast. Deliver outcomes.

- AI is a key enabler how effectively you use it will define your speed and impact.

What We're Looking For :

- 6+ years of experience in Full Stack development

- Strong problem-solving and logical thinking this matters most

- Ability to build working solutions using any tech stack

- Hands-on use of AI tools to accelerate outcomes

- Curiosity to experiment, learn fast, and iterate

- Bias for action people who build, not just discuss

- Evidence of what you've built projects, hackathons or real-world use cases

- Clear thinking in how you break down problems and approach solutions


Required Skillset :


- Demonstrated expertise in full-stack development using Python, Node.js, Java, or .Net for backend systems, paired with frontend proficiency in React.js, Angular, or Vue.js.


- Proven ability to design and implement AI-driven solutions, specifically leveraging Python for Generative AI, LLMs, and RAG frameworks.


- Strong architectural mindset with the ability to design distributed systems that are secure, maintainable, and highly performant.


- Exceptional communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders and lead collaborative team efforts.


Why This Role :

- Work on real problems from day one

- Build fast, learn faster and see your impact

- Use AI as leverage, not just as a tool

- Be part of a team that values execution over everything else

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