Business Operations Manager

This is not a typical engineering role. And we are not looking for a typical engineer. Glitter Technology Ventures Pvt. Ltd. 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 Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.