SDE 3

Experience : 4.00 + years

Salary : Confidential (based on experience)

Expected Notice Period : 30 Days

Shift : (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type : Office ()

Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: AI Agent Builder)

**(*Note: This is a requirement for one of Uplers' client - AI Agent Builder)

**What do you need for this opportunity?

Must have skills required: Django, Python

AI Agent Builder is Looking for:**** Job description We''''re hiring an SDE3 to lead an enterprise project building agentic workflows. You''''ll work closely with the client to understand their current processes, figure out how to agentify them, finalise the flows, and then lead the team to build it — while doing hands-on IC work yourself. You''''ll be the client''''s point of contact for everything on the project. Experience: 4–6 years

• Location: Bengaluru Responsibilities Work with the client to understand their current process and identify what can be agentified. Discuss and propose agentic flows with the client, and finalise them together. Design the agent architecture and overall system for the product. Lead a small team of engineers while contributing as a hands-on IC. Act as the client''''s single point of contact for scope, timelines, demos, and escalations. Bring product thinking: prioritise what to build first and what to leave out. Has led client conversations — requirement discussions, demos, and stakeholder management Has led engineers to deliver projects on time — planning, code and design reviews Can handle difficult situations — escalations, scope changes, tight deadlines, and tough client conversations Own end-to-end project delivery — scope, timelines, quality, and outcomes. Skills Must have Strong Python, with hands-on experience in frameworks like FastAPI and Django Databases — SQL and NoSQL, schema design, query optimisation Caching — Redis or similar System design — APIs, queues, scalability, failure handling Agent loops — tool calling, state, retries, stopping conditions Agent architecture — single vs multi-agent, orchestration, memory, human-in-the-loop Page 1 of 2SDE3 – Agentic AI Lead (Enterprise Engagement) LLM engineering — prompting, RAG, structured outputs, evals Product thinking Ownership — accountable for project delivery end to end Good to have Agent frameworks (LangGraph, Claude Agent SDK, OpenAI Agents SDK) Cloud deployment (Azure, AWS, or GCP), Docker, CI/CD

How to apply for this opportunity?

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!

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