Browse Jobs
Explore open roles across India.Explore active software roles. Sign up to apply and get AI match scores.
Top MatchesTop Job Matches
Loading jobs…
Back to Browse Jobs
Thermo Fisher Scientific
Lead Full stack Developer
Thermo Fisher Scientific
Bengaluru•On-site•7-10 Yrs•21 hours ago
Job description
Overview
Work Schedule Other Environmental Conditions Office Job Description
Responsibilities
- Summarized Purpose:
- We are looking for a Lead Full-Stack AI Engineer with strong frontend expertise to design and deliver production AI web applications end-to-end, including AI UX, React/Next.js experiences, Python APIs, RAG pipelines, enterprise integrations, LLMOps, security, and team leadership.
- Define frontend architecture, component library strategy, and design system adoption across product teams
- Design and deliver AI-enabled user experiences using React/Next.js, TypeScript, Python APIs, and FastAPI services
- Guide frontend, backend, and AI integration decisions across RAG, LLM tool calling, vector search, and enterprise systems
- Build event-driven microservices and integrations across internal platforms, SaaS applications, and AWS cloud services.
- Hands-on experience with PostgreSQL, RDS and S3.
- Lead engineering execution through architecture reviews, code reviews, security reviews, GitHub workflows, JIRA delivery tracking, and mentoring
- Strong expertise in React/Next.js, TypeScript, component-driven UI architecture, component libraries, and design systems
- Hands-on experience with Python, FastAPI, REST APIs, microservices, event-driven architecture, and AWS cloud deployment
- Knowledge, Skills, and Abilities:
Qualifications
- Knowledge of enterprise integration patterns, authentication, authorization, API security, observability, and LLMOps practices
- Ability to lead architecture decisions, mentor engineers, align stakeholders, and balance frontend, backend, and AI tradeoffs
- Lead-level React/Next.js and TypeScript frontend architecture experience
- Python, FastAPI, API design, microservices, and event-driven architecture experience
- Production AI application delivery with LLM APIs, RAG, vector databases, tool calling, and AI UX patterns
- AWS cloud deployment, enterprise integrations, GitHub, JIRA, security, and technical leadership experience
Nice to have
- Component library ownership and design system governance at enterprise scale
- LLMOps experience including evaluation, prompt/version management, monitoring, reliability, and cost optimization
- Knowledge of secure enterprise AI patterns, data privacy, access control, compliance, and production observability
- India: 05:30 PM to 02:30 AM IST
- Philippines: 08:00 PM to 05:00 AM PHT
Education
- Bachelor's degree or equivalent in Computer Science, Information Technology, or related field
- 7+ years of experience in full stack application development, frontend architecture, cloud deployment, and AI/LLM-enabled product delivery