Role: Founding Engineer

Total Experience: 35 Years

Location: Remote (UK Time Zone)

Job Summary:

We are looking for a strong Software Engineer with hands-on experience across Data Engineering and AI/ML/LLM systems to join as a Founding Engineer. This is a highly hands-on generalist engineering role. The ideal candidate should have strong Software Engineering fundamentals and be comfortable working across backend development, data pipelines, AI agents, and ML/LLM applications.

What Youll Do:

- Build and scale core platform capabilities across software engineering, AI, and data engineering.

- Develop robust backend services, APIs, integrations, and platform features.

- Build and maintain data pipelines, data processing workflows, and data infrastructure.

- Design and develop AI agents, LLM-powered applications, RAG systems, and AI workflows.

- Work with customers to understand technical requirements and build solutions using the platform.

- Use modern AI coding and development tools to accelerate engineering and prototyping.

- Work across the full development lifecycle - design, development, testing, deployment, and monitoring.

- Research and experiment with new AI/ML technologies and integrate relevant capabilities into the platform.

- Troubleshoot complex technical problems and optimise system performance.

- Work closely with the founding team on architecture, technical decisions, and product development.

- Take end-to-end ownership of projects and deliver production-ready solutions.

Required Skills & Experience:

- 35 years of experience in Software Engineering, with hands-on exposure to Data Engineering and AI/ML/LLM systems.

- Strong proficiency in Python and backend software development.

- Strong understanding of software engineering fundamentals, system design, APIs, databases, Git, testing, and deployment.

- Hands-on experience building data pipelines, ETL/ELT workflows, and data processing systems.

- Strong understanding of SQL and databases.

- Hands-on experience with LLMs, AI agents, RAG, or AI-powered applications.

- Experience working with LLM APIs such as OpenAI, Anthropic, or equivalent.

- Familiarity with frameworks such as LangChain, LangGraph, LlamaIndex, or equivalent.

- Experience with cloud platforms such as AWS, Azure, or GCP.

- Comfortable using AI-assisted coding and development tools.

- Ability to work across multiple technical domains and solve ambiguous problems independently.

- Willingness to work remotely with working hours aligned to the UK time zone.

- Educational background from reputed engineering institutions such as IITs, VIT, NITs, BITS Pilani, IIITs, or other top-tier engineering colleges is preferred.

Soft Skills:

- Strong problem-solving and analytical thinking.

- Highly adaptable and comfortable working as a technical generalist.

- Excellent communication and collaboration skills.

- Strong ownership and ability to work independently.

- Curious and eager to learn emerging AI technologies.

- Comfortable working directly with customers and internal stakeholders.

- Ability to move quickly from problem - solution - production.

- Strong startup mindset with the ability to operate in an ambiguous environment.

Preferred Qualifications:

- Experience working in a startup or early-stage technology company.

- Experience building production-grade AI/LLM applications or AI agents.

- Strong experience with cloud infrastructure and distributed systems.

- Experience with vector databases, RAG architectures, and LLM evaluation.

- Experience with Docker, CI/CD, Kubernetes, or similar technologies.

- Experience working with modern data platforms and data engineering tools.

- Open-source contributions or strong personal AI/engineering projects are a plus.

Why Join Us:

- Founding-level ownership across product, AI, and engineering.

- Build a platform at the intersection of AI, software engineering, and data engineering.

- Work directly on real-world AI agents and data engineering problems.

- Exposure to cutting-edge AI tools and technologies.

- Opportunity to influence architecture, product direction, and engineering culture.

- Fully remote role with global exposure and UK-aligned working hours.