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Job description
Location : 600 California Street, San Francisco, CA (ZIP 94108)
Mode of Work: Onsite, Full-Time
About Jeeva AI:
Jeeva AI is an autonomous digital worker platform that builds long-horizon AI workers to automate the repetitive, manual work entire teams used to spend months on. Six revenue workers are in production today – Leads, Enrichment, Research, Inbound, Outreach, and Deals Intelligence – serving 36,000+ users with 30% month-over-month organic growth. Jeeva’s 2026 roadmap expands across three product teams: Front Office Workers, Back Office Workers (targeting $190B+ in US IT labor), and the Worker Builder Platform launching June 2026, enabling enterprises to design, configure, and deploy their own autonomous digital workers.
Role Overview:
We are seeking an experienced and highly motivated Sr. AI Backend Engineer to join our Agentic Platform team in San Francisco. In this role, you will design, develop, and deploy intelligent AI agents and multi-agent systems that power Jeeva’s core product. You will work at the intersection of large language models, retrieval-augmented generation, and backend engineering to build scalable, production-grade agentic workflows used by revenue teams globally. This is a senior individual contributor role requiring a minimum of 5 years of relevant experience.
Responsibilities & Expectations:
Design, develop, and deploy AI agents, generative AI applications, and multi-agent systems for production environments.
Build and optimize applications leveraging Large Language Models (LLMs) including GPT, T5, BERT, and transformer-based architectures.
Implement and enhance Retrieval-Augmented Generation (RAG) and Agentic RAG frameworks to improve agent accuracy and context-awareness
Develop agent pipelines using frameworks such as LangChain, OpenAI Gym, Rasa, Ray RLLib, or equivalent.
Apply reinforcement learning, supervised learning, and unsupervised learning techniques to enhance agent decision-making and capabilities.
Build robust backend systems and APIs using Python, integrated with databases such as MongoDB and other data stores.
Integrate external data sources, third-party APIs, and databases into AI agent workflows for dynamic, real-time decision-making and knowledge retrieval.
Deploy and manage AI workloads on cloud platforms (AWS, GCP, or Azure), utilizing containerization and orchestration tools (Docker, Kubernetes).
Collaborate cross-functionally with data scientists, product managers, and engineering stakeholders to define and deliver product features.
Contribute to architecture decisions, code reviews, and technical documentation to maintain high engineering standards.
Compensation & Benefits:
Compensation: Annual Salary Range $130,000 – $180,000
Equity: Competitive
Fully covered medical, dental, and vision insurance for employee
PTO as per the company policy
Jeeva is an equal-opportunity employer.
We celebrate diversity and are committed to creating an inclusive environment for all employees.
Authorization to Work – Should be authorized to work in the US
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.