Position:
Location:
About the Role
Senior Full Stack AI Engineers
This role requires hands-on expertise in LLM development, application architecture, and test automation, effectively helping organizations accelerate delivery while reducing dependency on traditional QA teams.
Key Responsibilities
- Design, develop, and deploy AI-powered applications using Large Language Models (LLMs), with experience in
Claude
preferred. - Architect and build scalable full stack applications using
Java, Spring Boot, ReactJS, NextJS, TypeScript, and JavaScript
. - Develop intelligent workflows utilizing AI agents, prompt engineering, retrieval-augmented generation (RAG), and model integrations.
- Create end-to-end automated test suites using
Playwright
, Perfecto
, and other modern automation frameworks to support developer-led testing. - Build and integrate RESTful APIs and microservices following modern architecture principles.
- Design and manage data solutions using
SQL, NoSQL, and MongoDB
. - Develop event-driven applications using messaging platforms such as
Kafka
. - Implement secure, scalable, and high-performance solutions using
Spring Security, OAuth, and multi-threaded programming
. - Leverage
AWS services
including ECS, Lambda, and Step Functions to build cloud-native applications. - Containerize and orchestrate applications using
Docker and Kubernetes
. - Drive quality through
TDD
, JUnit, SonarQube, CI/CD pipelines, and engineering best practices. - Collaborate with product, design, and engineering teams across global locations to build customer-centric digital products.
- Participate in Agile ceremonies and contribute to architecture, design, and technical decision-making.
Required Skills & Experience
- 5+ years of professional software engineering experience.
- Strong hands-on expertise in:
- Java, Spring Boot
- JavaScript, TypeScript
- ReactJS, NextJS
- HTML5, CSS3
- Proven experience building and integrating AI/LLM-powered solutions.
- Ability to independently develop, evaluate, and optimize LLM-based applications.
- Strong understanding of software testing, automation frameworks, and quality engineering practices.
- Experience with:
- Playwright and/or Perfecto
- SQL, NoSQL, MongoDB
- Kafka or similar messaging platforms
- Maven, Gradle, Git-based CI/CD
- REST APIs and Microservices
- AWS cloud services
- Docker and Kubernetes
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management abilities.
- Experience working in Agile and globally distributed teams.
Preferred Qualifications
- Hands-on AI practitioner with experience building production-grade AI applications.
- Experience with:
- RAG architectures
- AI Agents and workflow orchestration
- Prompt Engineering
- Model evaluation and optimization
- Claude, OpenAI, Gemini, or comparable LLM ecosystems
- Strong understanding of distributed systems and low-latency applications.
- Experience in financial services, asset management, or fintech domains.
- Expertise in microservices architecture and cloud-native design patterns.
- Experience collaborating with UX designers and frontend specialists.
- Knowledge of visualization libraries such as
HighCharts
, D3.js
, or similar frameworks. - Experience delivering high-quality backend and frontend features in fast-paced environments.
- Familiarity with CMS-driven platforms and enterprise digital ecosystems.
Ideal Candidate Profile
build AI solutions from scratch, own end-to-end application delivery, and drive quality through automation rather than manual testing practices
Please share your updated resume - Hemanth.kumars1@mphasis.com
We are looking for only Immediate joiners or Max 15 Days notice period.
Total Experience :
Relevant Experience:
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Expected CTC :
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Preferred Location:
