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Job Description

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A rapidly expanding HR-technology and digital transformation consultancy delivering enterprise-grade Artificial Intelligence, Machine Learning, and Generative AI solutions to global clients across talent, workforce analytics, and process automation domains. Operating in a fast-growing market, we translate the latest research in large-language models (LLMs) into secure, production-ready products that drive measurable workforce impact.
Role & Responsibilities
  • Design, build, and optimise end-to-end Generative AI pipelines: data ingestion → fine-tuning → vector indexing → real-time inference.
  • Develop Python microservices that integrate LangChain workflows, RAG architectures, and vector search (FAISS/Weaviate) into scalable APIs.
  • Engineer prompt strategies, evaluation suites, and guardrails to maximise answer accuracy, reduce hallucinations, and ensure brand safety.
  • Deploy and monitor LLMs on AWS/Azure/GCP using Docker, Kubernetes, and CI/CD, achieving sub-second latency and high availability.
  • Collaborate with Data Scientists, Product Managers, and UX teams to translate business problems into AI solutions and measurable OKRs.
  • Document best practices, mentor junior engineers, and drive continuous improvement in code quality, testing, and MLOps automation.

Skills & Qualifications

Must-Have

  • 3+ years software engineering with strong Python and RESTful API design.
  • Hands-on experience building LLM or GenAI applications using LangChain/LlamaIndex or similar.
  • Solid grasp of machine-learning fundamentals, transformer architectures, and vector similarity search.
  • Proficiency with at least one major cloud platform (AWS, Azure, or GCP) and container orchestration (Docker/K8s).
  • Git-centred workflow, automated testing, and CI/CD pipeline creation.

Preferred

  • Exposure to Retrieval-Augmented Generation (RAG) patterns, multi-agent frameworks, or tool-calling orchestration.
  • Experience fine-tuning open-source LLMs (e.g., Llama, Falcon) using LoRA or QLoRA.
  • Knowledge of data privacy, security, and governance within AI solutions, especially for HR data.
Benefits & Culture Highlights
  • On-site, innovation-driven workspace fostering rapid learning and direct access to senior AI leaders.
  • Ownership of marquee GenAI projects impacting thousands of end-users across Fortune-500 HR ecosystems.
  • Competitive salary, performance bonuses, and sponsored certifications in advanced ML and cloud technologies.
Skills: ai engineer,llamaindex,azure,langchain,python,vector similarity search,restful api design,ci/cd,automated testing,aws,machine learning,git,transformer architectures,kubernetes,gcp,docker,gen ai

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