OPEN ROLE — VIA SYMPHONI HR

Software Engineer – Generative AI.

MumbaiHybridPosted 2026-10-12

This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.

About the organisation.

Our client is a leading global provider of professional services and digital transformation solutions, specializing in advanced software engineering and data-driven innovation. They operate at a significant scale, partnering with major enterprises to integrate cutting-edge technologies into complex business environments. The company fosters a culture of continuous learning and technical excellence, empowering teams to solve high-impact challenges.

About the role.

This role focuses on the end-to-end design, development, and deployment of generative AI applications. You will work at the intersection of full-stack development and machine learning, building responsive interfaces and robust backend services that leverage LLMs and agentic workflows. The position is based in Mumbai and operates on a hybrid work model.

What you will do.

  • Design, develop, and maintain end-to-end generative AI applications and services.
  • Build responsive, high-performance front-end interfaces using React.
  • Develop backend services, APIs, and data pipelines using Python frameworks like FastAPI and Flask.
  • Integrate and fine-tune large language models to meet specific business requirements.
  • Design, test, and iterate on production-grade prompts and maintain them under version control.
  • Implement retrieval-augmented generation (RAG) architectures and complex agentic workflows.
  • Evaluate model performance, manage vector databases, and optimize inference pipelines.
  • Ensure high code quality through rigorous testing, code reviews, and CI/CD practices.

What you bring.

  • 3 to 5 years of hands-on professional software development experience.
  • Strong proficiency in Python and modern web development with React.
  • Deep understanding of Generative AI concepts, including LLMs, prompt engineering, and RAG.
  • Experience with vector databases such as Pinecone, Weaviate, or ChromaDB.
  • Familiarity with cloud platforms like AWS, GCP, or Azure.
  • Knowledge of AI orchestration frameworks such as LangGraph, CrewAI, or AutoGen.
  • Experience with MLOps practices, Docker, and Kubernetes.
  • Strong grasp of software engineering best practices including version control and testing.
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