Full Stack Engineer

6 days ago

Pune, Maharashtra, India Cloud Data Vision Full time

Role Summary

The Full Stack Engineer will be a core member of the Kforce Consulting Solutions

(KCS) - AI CoE team, responsible for building modern applications that integrate

traditional software engineering with emerging AI capabilities. This role blends front-end

and back-end development with hands-on implementation of LLMs, agent frameworks,

retrieval pipelines, and automation tools.

The engineer will work closely with AI specialists, data engineers, TPMs, and U.S.

practice leads to deliver high-quality pilots and scalable production solutions for both

internal and client-facing use cases.

Key Responsibilities

Full-Stack Development

  • Design, develop, and deploy end-to-end web applications using modern frameworks and tools.
  • Build responsive, maintainable front-end interfaces using React, , or similar.
  • Develop secure, scalable back-ends using Python (FastAPI/Django), , Go, C#, or Java.
  • Implement RESTful APIs, GraphQL services, and microservice components.

AI Integration & Agent Workflows

  • Integrate LLM APIs, RAG pipelines, and agent/automation frameworks into applications.
  • Work with AI engineers to embed model inference, vector search, and workflow automation.
  • Implement agent-based components for task automation, reasoning, an orchestration.
  • Use tools like LangChain, LlamaIndex, or similar frameworks to build AI workflows.

Collaboration & Cross-Functional Delivery

  • Partner with TPMs, data engineers, and AI specialists to translate requirements into technical solutions.
  • Participate in architecture discussions and help shape best practices for AI- powered applications.
  • Support UI/UX, data, and DevOps teams to ensure smooth end-to-end delivery.

AI-Assisted Engineering & Productivity

  • Leverage AI coding assistants (Copilot, ChatGPT, Cody, Cursor) throughout the development cycle.
  • Maintain high development velocity while following code quality, documentation, and testing standards.
  • Contribute to reusable components and accelerators that the KCS Innovation CoE can apply across clients.
  • Operational Excellence
  • Write clean, testable code and maintain automated testing pipelines.
  • Build and maintain CI/CD workflows using modern DevOps tools.
  • Support deployments on AWS, Azure, or GCP, using Docker/Kubernetes where needed.
  • Participate in peer code reviews and ensure engineering consistency across the offshore team.
  • Required Skills & Experience
  • 5+ years of full-stack engineering experience.
  • Strong proficiency in one or more backend languages: Python, , Go, C#, Java.
  • Hands-on experience with modern front-end frameworks: React, , Vue, Angular.
  • Strong knowledge of REST APIs, GraphQL, microservices, and cloud-native architecture.
  • Experience with SQL/NoSQL databases (PostgreSQL, MongoDB, Redis).
  • Experience integrating AI/LLM APIs or agent frameworks (LangChain, LlamaIndex, or similar).
  • Comfortable using AI development tools as part of day-to-day workflow.
  • Familiarity with AWS, Azure, or GCP, and containerization (Docker, Kubernetes).
  • Strong understanding of CI/CD and software testing best practices.
  • Excellent communication, collaboration, and ability to work with cross-functional AI delivery teams.

Preferred Qualifications

  • Experience building AI agents or automation workflows.
  • Knowledge of vector databases and RAG pipelines.
  • Understanding of prompt design and LLM interaction patterns.
  • Exposure to serverless or edge computing environments.
  • Consulting or client-facing delivery experience is a plus.

Job Type: Full-time

Pay: ₹2,500, ₹3,000,000.00 per year

Work Location: In person

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