Staff Software Engineer (AI)

TL;DR

Staff Software Engineer (AI): Leading the technical vision and development of the platform, building scalable and secure software with Generative AI capabilities with an accent on integrating LLMs and modern GenAI capabilities into the platform. Focus on developing intelligent features powered by LLMs and exploring new technologies to improve the engineering culture.

Location: Hybrid

Company

hirify.global is The Data Productivity Cloud, helping teams get data business ready, faster by allowing customers to load, transform, sync, and orchestrate their data.

What you will do

• Contribute hands-on to software development, championing high-quality code and robust architecture.
• Shape the design and evolution of systems, ensuring performance, security, and scalability.
• Work with engineers, product managers, and customer-facing teams to break down large initiatives into actionable plans.
• Mentor and support team members through code reviews, knowledge sharing, and pairing.
• Develop intelligent features powered by LLMs, integrating modern GenAI capabilities into the platform.
• Proactively explore new technologies, contribute to internal best practices, and help evolve our engineering culture.

Requirements

• Hands-on experience integrating with LLM APIs such as OpenAI, Anthropic, or Hugging Face.
• Understanding of prompt engineering — crafting and tuning prompts to optimize LLM responses.
• Experience with RAG (Retrieval Augmented Generation) to enrich LLM responses with contextual data.
• Familiarity with key LLM concepts: System/User prompts, tokens, embeddings, context windows, temperature, top-p, stop sequences.
• Hands on experience of MCP server and Agentic AI frameworks (LangChain, LangGraph, AutoGen, CrewAI, Hugging Face)
• Strong hands-on experience with Java/Python and React, grounded in solid object-oriented principles and software engineering best practices.
• Proficiency in building Java Spring microservices, containerisation with Docker, and experience with relational databases like Postgres, MySQL, or SQL Server.
• Proven track record across the full SDLC, including CI/CD and Agile methodologies.
• Deep familiarity with cloud platforms, especially AWS.
• Ability to adapt to new technologies and solve both product and platform-level challenges in a collaborative team environment.

Nice to have

• Experience with fine-tuning models and prompt compression techniques.
• Exposure to GenAI architectures like prompt chaining, agentic workflows, or routing mechanisms.
• Familiarity with Spring AI or similar libraries that abstract LLM interactions.
• Experience designing and using evals to compare LLM performance and optimize prompts.

Culture & Benefits

• Company Equity
• 27 days paid time off, 12 days of Company Holiday, and 5 days paid volunteering leave.
• Group Mediclaim (GMC).
• Enhanced parental leave policies.
• MacBook Pro
• Access to various tools to aid your career development.