GlitterLabs | Software Research Analyst | 2+ YoE

This is not a typical engineering role. And we are not looking for a typical engineer.

Glitter Technology Ventures Pvt. Ltd. (www.glitterlabs.com) is hiring a Software Research Analyst to build, research, and explain AI-native systems at the intersection of Edge AI, Vertical AI, and large-scale content generation.

We are looking for someone who can build production systems and clearly explain them, someone who writes code in the morning and turns it into technical knowledge by afternoon.

If you think in systems and communicate with precision, keep reading.

About the Role

This is a 60% engineering, 40% research + technical writing role.

You will work directly with founders and engineering to design, build, and document AI-driven systems at production scale.

You are not maintaining legacy code. You are:

• Building systems from scratch

• Designing scalable architectures

• Publishing explainable technical content for developers
  

We move fast. Deadlines are real commitments. Learning is continuous. High aptitude and speed of execution are mandatory.

Location

Remote, India

Nagpur, MS, India (local candidates preferred)

We work in person, remote, or hybrid for speed, clarity, and tight feedback loops.

What You’ll Do

• Build and ship AI-native systems, LLM workflows, and agentic applications

• Research emerging trends in LLMs, Edge AI, and developer tooling

• Translate research into production systems and implementation-ready designs

• Write technical tutorials, deep dives, and documentation at scale

• Own systems end-to-end: architecture → build → deploy → documentation → publish

• Contribute to the company’s technical content distribution engine

Core Responsibilities

Technical Research & Analysis

• Continuously track AI, LLM, Edge AI, and developer ecosystem developments

• Identify emerging tools, frameworks, and architectures early

• Translate research into actionable system and product direction

• Deliver structured research outputs on deadline

Software Engineering

• Design and build production-grade AI systems and LLM-based workflows

• Architect scalable, maintainable, real-world systems (not prototypes)

• Integrate APIs, SDKs, and external services across the stack

• Work natively with tools like Cursor, Claude Code, Codex, and LLM frameworks

• Own systems end-to-end: design → build → deploy → maintain

Technical Writing

• Produce high-quality technical tutorials, deep dives, and documentation

• Translate complex systems into clear, implementable developer content

• Maintain consistent publishing cadence as a core deliverable

• Build content that demonstrates real understanding through implementation

Operations & Discipline

• Own research backlog, project pipeline, and documentation hygiene

• Maintain structured logs of experiments and system decisions

• Communicate proactively on progress, blockers, and timelines

• Ensure zero dropped execution handoffs

Skills & Requirements

• 2+ years in software engineering, AI research, or systems engineering roles

• Proven experience building and shipping scalable production systems

• Strong proficiency in Python, Go, Rust (multi-language flexibility expected)

• Hands-on experience with AI/ML/LLM systems in production or near-production environments

• Strong understanding of system design, APIs, and distributed architectures

• Experience with AI frameworks (LangChain, LlamaIndex, or similar)

• Familiarity with cloud platforms (AWS, GCP, Azure)

• Built applications using Hermes Agent, Deer Flow, OpenClaw etc.

• Experience with Cursor, Claude Code, Copilot, or similar AI-native dev workflows

• Strong technical writing ability (blogs, docs, tutorials, or GitHub projects)

• Open-source contributions or visible technical portfolio is a strong signal

• High learning velocity and ability to go from unfamiliar → functional quickly

• Strong research mindset and ability to synthesize technical complexity

Experience

• 2+ years in software engineering, AI systems, or technical research roles

• Demonstrated ability to build systems that shipped to real users

• Startup or high-velocity environment experience strongly preferred

Qualifications

• Bachelor’s or Master’s in Computer Science, Engineering, IT, or related field

• Equivalent practical experience accepted if output is strong (code, systems, writing)

• Strong curiosity and sustained engagement with AI/LLM ecosystem is expected baseline

Why Join Us

• Work at the frontier of AI systems + technical content + research

• Build real production systems used by real users

• High ownership from day one — no bureaucracy

• Direct access to founders and fast feedback loops

• Combine engineering, research, and writing in one role

• Grow faster than traditional engineering roles if you can keep pace

Most engineers build systems. Most writers explain them.

We’re looking for someone who can do both — and do it at production scale.

Note: 

Please answer the questions below using the STAR (Situation, Task, Action, Result) format. Be specific, concise, and quantify impact wherever possible. 

We read these responses carefully and use them to understand how you think, execute, and create meaningful outcomes.