Technical Lead, Software Development, AI Engineer

Who We Are

Spectro Cloud aims to make infrastructure boundaryless for the enterprise, from data center to edge and every platform in between. We provide solutions that help enterprises run applications on Kubernetes, their way, anywhere.

Established by a team of multi‑cloud management experts and industry veterans with a track record of success, we’re at the forefront of multi‑cloud management solutions. What makes us stand out is our team’s commitment and strong backing from industry‑leading investors, driving our progress. Our collective focus is on delivering unmatched value that resonates with our customers, and you can take pride in being involved with it.

At Spectro Cloud, we are in search of a talented individual to become an integral part of our Engineering team, playing a pivotal role in shaping the future of our cutting‑edge Palette platform.

As a software engineer within our organization, you will be at the forefront of building an always‑on, self‑healing, and declarative platform specifically engineered for the management of both infrastructure and applications. You will have the opportunity to contribute significantly by designing, optimizing, and streamlining GoLang‑based microservices and AI‑powered capabilities that serve as the foundation of our platform. Proficiency in Kubernetes is required – it lies at the very heart of our contemporary cloud‑native, data center and edge solutions.

Your responsibilities will include building production‑grade AI systems – designing, implementing, and maintaining LLM‑powered applications, agentic AI workflows, and RAG pipelines across multiple product use‑cases. You will actively participate in guided technical labs covering prompt engineering, vector databases, LLM deployment tooling, multi‑agent orchestration, fine‑tuning strategies, and evaluation techniques. You will develop, refine, and operationalize LLM solutions, including prompt design, retrieval strategies, embedding pipelines, Lang Chain/Lang Graph workflows, and API integrations using Python, Hugging Face, FastAPI, and similar frameworks.

Your responsibilities will also include ensuring the seamless operation of our platform through a combination of automation, scripting, and rigorous testing. Our organization places a strong emphasis on code quality, and your commitment to producing clean and efficient code is highly regarded.

You will stay ahead of emerging AI trends – small models, efficient inference (vLLM/Tensor

RT), multimodal systems, on‑device LLMs – and recommend tools, frameworks, or integrations that enhance our platform. Collaboration is of utmost importance. You will work closely with cross‑functional teams to create scalable, dependable, and secure solutions that push boundaries. In this role, we encourage you to stay current with industry trends and emerging technologies, thereby ensuring that our solutions remain innovative and ahead of the curve.

By joining our team, you will become an influential driving force in shaping the future of AI‑powered Kubernetes management at scale through Palette, the modern enterprise Kubernetes management platform offered by Spectro Cloud.

As a software engineer at Spectro Cloud, you’ll succeed by embracing adaptability, tackling complex challenges, and navigating dynamic environments with confidence. Success in this role depends on your ability to break down intricate challenges into manageable steps and deliver value through iterative, test‑and‑learn approaches. At Spectro Cloud, we champion innovation and collaboration, fostering a culture where shared ideas drive progress.

While we don’t expect candidates to check every box, we do look for the following when assessing applicants:

• Bachelor’s degree in Computer Science or related technical field
• 8+ years of software development experience (or 6+ years with a Master’s degree)
• Strong LLM/GenAI fundamentals:
  Solid understanding of large language models, prompt engineering, embeddings, vector search, RAG systems, and lightweight fine‑tuning (LoRA/PEFT preferred)
• Python expertise:
  Proficiency in Python and hands‑on experience with AI/ML libraries such as…