Full Stack Developer - GEN AI

Newpage Solutions; Chennai District; On-site; INR 3,500,000 - 5,200,000; Full time

Job summary

Newpage Solutions is seeking a senior engineer to own end-to-end platform development across backend and frontend, with a focus on AI-enabled workflows. You will collaborate with stakeholders, architect scalable solutions, and guide multiple teams to ship high-impact products.

The role requires deep experience across Python, JavaScript/TypeScript, Next.js/React, cloud platforms, and CI/CD, plus a track record of mentoring engineers and delivering on complex, ambiguous problems.

Qualifications

• Bachelor's degree in computer science, software engineering, or a related field.
• 7+ years of relevant professional experience.
• Deep experience with Python and JavaScript/TypeScript across backend and frontend.
• Strong frontend framework experience (Next.js or React).
• Extensive cloud platform experience (AWS preferred; Azure or GCP valued).
• Knowledge of relational, document, and key-value databases (e.g., PostgreSQL, Redis).
• Experience with CI/CD pipelines (GitHub Actions) and containerization.
• Familiarity with AI coding tools and AI-augmented development practices.
• Experience architecting production generative AI apps (LLMs, vectors, RAG).
• Ability to lead multi-team initiatives and mentor engineers.
• Comfort navigating ambiguity and shipping fast with architectural integrity.
• Experience in embedded/consulting-style engineering is a plus.

Responsibilities

• Lead technical initiatives across multiple teams and establish engineering practices.
• Collaborate with business stakeholders and end users to shape solutions.
• Design and implement scalable, production-grade AI-enabled applications.
• Mentor engineers and shape engineering practices across the area.

Skills

Python

JavaScript/TypeScript

Full stack development

AI coding tools

Cloud platforms

Education

Bachelor's degree in CS/SE or related field

Tools

Next.js/React

AWS (CloudFormation / Terraform)

PostgreSQL

Redis

GitHub Actions

Docker / containerization

LLM integrations

Job description

Requirements

• Bachelor's degree in computer science, software engineering, or a related field with 7+ years of relevant professional experience.
• Deep production experience with Python and JavaScript/TypeScript across backend and frontend, with demonstrated ability to work comfortably across the full stack.
• Strong experience with modern frontend frameworks (such as Next.js or React) and backend API development.
• Extensive experience with cloud platforms (AWS preferred; Azure or GCP also valued), including infrastructure-as-code tools (such as CloudFormation or Terraform).
• Deep working knowledge of multiple database paradigms, including relational databases (such as PostgreSQL), document databases, and key-value stores (such as Redis), with the ability to select the right storage technology for each problem.
• Strong experience with CI/CD pipelines (such as GitHub Actions), containerization, and production deployment strategies.
• Demonstrable fluency with AI coding tools (such as Claude Code, Cursor, GitHub Copilot, or similar) and proven ability to design agentic engineering workflows and train teams on AI-augmented development practices.
• Hands-on experience architecting production generative AI applications (LLM integrations, vector databases, RAG systems, evaluation pipelines) is essential.
• Experience leading technical initiatives across multiple teams, mentoring engineers, and establishing engineering practices is required.
• Experience navigating ambiguous problem spaces, working directly with business stakeholders and end users, and shipping working solutions rapidly is required.
• Experience in an embedded, forward-deployed, or consulting-style engineering model is a strong plus.

Additional Notes

• Must have exceptional communication skills and demonstrated ability to influence at senior levels.
• This role requires comfort leading across ambiguous environments, building trust-based relationships with commercial stakeholders at all levels, developing junior and mid-level engineers, and making strategic decisions that balance delivery speed with architectural integrity.
• You will shape engineering practices across your area and be expected to lead multi-team initiatives.