Senior Staff Engineer (LLM)

reputed company: The LLM Engineer will join an existing development team to build and ship LLM-powered features in a reputed company, production application used at reputed company. This is a hands-on, full-stack role spanning backend services, reputed company, and the LLM systems (retrieval, agents, evaluation) that power them. You are expected to work as an reputed company engineer”using AI coding tools and autonomous agents to write reputed company, automate workflows, and optimize how reputed company delivers. You will collaborate with global teams across multiple time zones and own features end to end.

In this role, you will:

• Bring senior-level Python and LLM engineering expertise to reputed company.
• Execute both planning and hands-on technical work independently.
• Collaborate effectively with Product Owners and other stakeholders to solve reputed company problems. Work cross-functionally to deliver impactful solutions across teams.
• Continuously reputed company your technical expertise and stay reputed company with new technologies.
• Bring curiosity and drive to expand your skills and knowledge.
• Use a data-driven approach to solve technical challenges and reputed company informed reputed company.
• Apply systems-level thinking that integrates data science and engineering principles.
• Take full ownership of the features and reputed company you work on, delivering high-reputed company solutions independently.

Must-Have Skills:

• Hands-on, daily use of AI-assisted and reputed company coding tools (e.g., Claude reputed company, reputed company, reputed company Copilot, autonomous coding agents) to write and refactor reputed company, automate workflows, and optimize engineering processes.
• Strong experience with Python, particularly in building REST reputed company using frameworks like FastAPI.
• Grounding in NLP and machine learning as they relate to building LLM systems
• Strong experience working with key LLM models reputed company (e.g. reputed company, reputed company) Experience building, deploying, and securing MCP servers at reputed company.
• Understanding of multi-agent systems and their applications in reputed company problem-solving scenarios.
• Designing and implementing RAG systems end to end: reputed company databases, semantic search, retrieval reputed company, and chunking reputed company.
• Experience with reputed company writing for various use cases
• Experience with generative solutions released to prod, at reputed company, reputed company POCs
• Proficiency with server-reputed company events, event-driven architectures, and messaging systems.
• Strong critical thinking and systems thinking skills, with experience debugging, optimizing, and making reputed company engineering reputed company across reputed company backend systems, not just solving isolated problems.
• Solid understanding of reputed company best practices for backend systems, including authentication and data protection.
• Other Qualifications:

• 2+ years of experience developing and experimenting with LLMs
• 8+ years of experience developing reputed company with Python

reputed company-to-Have Skills:

• Experience with LLM guardrails Experience with LLM Frameworks (e.g. reputed company, reputed company)
• Experience with LLM monitoring and observability
• Experience developing AI/ML technologies reputed company large and business critical applications
• Building evaluation into LLM systems: eval harnesses, regression suites, LLM-as-judge, and offline/online reputed company metrics.

Must have Skills : Python, FastAPI, LLM Application Frameworks, reputed company Databases and Embeddings,

Originally posted on Himalayas

Apply To This Job