Senior Software Engineer - AI-Native Builder

Doceree Inc.; Dadri; Vor Ort; INR 800.000 - 1.500.000; Vollzeit

Benefits dieser Stelle

Competitive Salary Package

Generous Leave Policy

Flexible Working Hours

Health Care Benefits

Zusammenfassung

Doceree Inc. is seeking a Senior Software Engineer - AI-Native Builder in Noida, India. In this role, you will be part of a team building advanced AI-native platforms with a focus on maintaining high standards of latency, reliability, and privacy. Candidates should have a strong background in Python or GoLang, along with experience in multimodal AI and streaming data pipelines.

Doceree provides a competitive salary package, generous leave policy, and flexible working hours, fostering an inclusive and diverse workplace.

Qualifikationen

• 3+ years building production software.
• Strong backend experience in Python or GoLang.
• Experience with MongoDB and Redis.
• Comfortable with modern frontend technologies such as Next.js.
• Experience with LLM‑powered systems and RAG pipelines.

Aufgaben

• Own large product surfaces and backend domains end-to-end.
• Define architecture, data models, APIs, and UX flows.
• Build and optimize RAG pipelines and multimodal AI experiences.
• Implement access controls and encryption to ensure security.

Kenntnisse

Production software development

Backend experience in Python

Backend experience in GoLang

Modern frontend (Next.js)

MongoDB

Redis

Streaming data pipelines

AI-enabled tools (Cursor, Claude Code)

Multimodal AI (chat, voice, video)

Low-latency systems

Jobbeschreibung

Senior Software Engineer - AI-Native Builder

Noida, India Full-time

Purpose of the Job

We are building a new generation of AI-native platforms where AI is the core system. These platforms reason, retrieve, plan, call tools, and act across chat, voice, and video. They operate on streaming data, integrate deeply with product workflows, and must meet strict expectations around latency, correctness, reliability, and privacy.

The foundations are in motion. Now we need builders who can own the next phase—engineers who design systems, not just features; who ship weekly; who think end-to-end; and who take personal responsibility for what runs in production.

This is a role where you define what gets built, how it is built, and why it matters.

You will work with a lean, high-velocity team using Python, GoLang, Next.js, MongoDB, Redis, Snowflake, streaming data platforms, and vector databases to create multimodal, agentic, privacy-first AI systems.

Key Responsibilities

• Own large product surfaces and backend domains end-to-end
• Break big ideas into weekly deliverables
• Define architecture, data models, APIs, and UX flows
• Own quality, reliability, and operational readiness
• Build and optimize RAG pipelines (chunking, embeddings, re-ranking, caching)
• Build multimodal AI experiences across chat, voice, and video
• Tune systems for low latency, high throughput, and predictable cost
• Treat prompts, schemas, and evaluation datasets as first‑class artifacts
• Build low‑latency services in Python and GoLang
• Use MongoDB for operational data and Redis for caching, queues, and ephemeral state
• Build streaming ingestion pipelines for near real‑time freshness
• Use Snowflake for analytical workloads
• Implement retrieval layers using vector databases such as Milvus and Pinecone

Privacy, Security & Trust

• Implement access controls, encryption, and audit logging
• Ensure AI systems respect data boundaries and consent
• Build guardrails against data leakage and prompt injection

AI‑Assisted Development

• Effectively utilize AI‑enabled tools such as Cursor, Claude Code
• Use AI collaboration for planning, scaffolding, refactoring, test generation, and exploration

What We're Looking For

Must‑have

• 3+ years building production software
• AI‑enabled tools such as Cursor, Claude Code
• Strong backend experience in Python or GoLang
• Comfortable with modern frontend (Next.js)
• Experience with MongoDB, Redis, and cloud infrastructure
• Exposure to LLM‑powered systems and RAG pipelines
• High ownership and builder mindset
• Built 0→1 products or platforms
• Experience with multimodal AI (chat, voice, video)
• Experience with streaming data pipelines
• Demonstrated advanced use of AI coding assistants
• Experience building low‑latency systems

What You're Like

• You default to shipping over planning
• You thrive in ambiguity
• You care deeply about craft and reliability
• You enjoy owning problems end-to-end

Doceree India Benefits

• Competitive Salary Package
• Generous Leave Policy
• Flexible Working Hours
• Health Care Benefits

Doceree DEI Vision & Mission

Doceree DEI (Diversity, Equity & Inclusion) is to create and sustain a one team culture globally with a mission to provide equal opportunity to people from diverse social, cultural, physical and psychological backgrounds and do not discriminate on the basis of race, colour, religion, national origin, sex, age, citizenship status, disability status, genetic information, sexual orientation, or gender identity or expression of an otherwise qualified individual, or membership in any other class protected by applicable law. Doceree fosters an inclusive culture by inculcating a sense of belonging within our ONE team through appropriate behaviours, policies and systems, while also being fair to one and all. To support this Doceree has taken formal strides with a 5C model and 4E's pledge, to ensure, encourage and exhibit our commitment to DEI, and move towards our DEI vision.