Key skills
PythonGoogle CloudAI/LLM EcosystemMLOpsVector DatabasesShell scriptingPrompt EngineeringFine-tuningSemantic SearchClean codeData EngineeringSQLShellAIMachine LearningMLGenerative AIGenAILLMLangChainPineconeGCPVertex AISDLC
About this role
Egen is a fast-growing and entrepreneurial company with a data-first mindset, seeking a Senior AI/ML Engineer to lead their Generative AI initiatives. The role involves overseeing the full lifecycle of AI features, collaborating with clients to develop high-performance AI architectures, and applying MLOps best practices for efficient model deployment.
Responsibilities:
- Architect & Build: Design and implement end-to-end GenAI applications using Python, LangChain, and LlamaIndex on Google Cloud
- Engineer for Precision: Develop advanced RAG (Retrieval-Augmented Generation) pipelines and Semantic Search systems using GCP Vector Search or Pinecone
- Optimize Models: Lead efforts in LLM and Embedding fine-tuning to improve domain-specific performance
- Agentic Ops: Build and manage agentic workflows that automate complex multi-step reasoning tasks
- Collaborate & Innovate: Work directly with customers to understand requirements, suggest novel features, and implement state-of-the-art AI techniques
- Productionize: Apply MLOps best practices to ensure models are served efficiently, monitored, and continuously improved
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field
- 5+ years of experience in AI/ML
- Proven track record of deploying GenAI products to a production environment
- Experience with Classic Machine Learning (neural nets, training, tuning) is a strong plus
- Knowledge of Data Engineering and SQL
- Mastery of Python and shell scripting
- Extensive experience with Google Gemini, GPT-4, or LLaMA; deep knowledge of Prompt Engineering and Fine-tuning
- Expertise in Vector Databases (Vertex AI Vector Search, pgvector, etc.) and implementing Semantic Search
- Hands-on experience with GCP (Vertex AI) and building scalable software architectures
- Proficiency in LangChain, LlamaIndex, or similar orchestration layers
- A strong software engineering foundation—you write clean, maintainable code and understand the full SDLC
- Ownership: You take pride in your code and see projects through from concept to deployment
- Curiosity: The AI landscape changes weekly; you are a lifelong learner who stays ahead of the curve
- Consultative Spirit: You enjoy interacting with clients and can translate technical complexity into business value
- Ethics: You prioritize responsible AI development and data privacy