AI Engineer(backend)- Lmts/smts/mts

Salesforce Salesforce · Enterprise · Hyderabad, India, India

AI Engineer role focused on building and optimizing AI applications and agentic systems for enterprise use cases within the Salesforce ecosystem. The role involves designing, fine-tuning, and integrating LLMs and AI frameworks like Langchain into critical workflows, with a strong emphasis on backend engineering and production-grade software development.

What you'd actually do

  1. Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
  2. Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
  3. Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
  4. Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance
  5. Leverage tools such as LangChain to creatively and resourcefully tackle problems, maintaining an open-minded approach to implementation.

Skills

Required

  • Strong expertise in using LLMs & AI application frameworks(eg LangChain)
  • A demonstrated, genuine AI-first approach to engineering.
  • Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows
  • Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
  • 3+ years of professional software development experience
  • High proficiency in Python and Java programming language
  • Experience in REST-based API development, API lifecycle management and/or client SDKs development
  • Solid understanding of both relational and non-relational databases.
  • Experience with developer tools such as Git and Jenkins
  • Demonstrated experience of working with ReST and thorough understanding of its fundamentals
  • Experience with Spring, gRPC, REST and the HTTP protocol
  • Experience with Agile development methodology

Nice to have

  • Proficiency in Python and popular AI application frameworks like Langchain
  • Prior experience in building AI solutions for enterprise software or SaaS platforms
  • Working knowledge of building B2B or B2C SaaS applications using cloud providers such as AWS, GCP, or Azure is desired
  • Broad knowledge of web standards relating to APIs such as REST, SOAP, XML, WSDL, HTTP, JSON, etc.

What the JD emphasized

  • AI as a core part of your development workflow
  • AI-first approach to engineering
  • Advanced prompt engineering skills

Other signals

  • AI agents integrate seamlessly into human workflows
  • design, fine-tune, and optimize for a diverse portfolio of high-impact enterprise use cases
  • extracting the maximum potential from LLMs
  • build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow