Egen.ai

Egen.ai

Egen.ai specializes in providing technology services that leverage cloud computing, data analytics, and artificial intelligence to enhance document intelligence and drive productivity and growth for its clients.

IT Services
Founded 2000

Description

  • Architect and build end-to-end GenAI applications using Python, LangChain, and LlamaIndex on Google Cloud.
  • Develop advanced RAG pipelines and semantic search systems using vector search technologies.
  • Lead LLM and embedding fine-tuning efforts to improve domain-specific performance.
  • Build and manage agentic workflows that automate complex multi-step reasoning tasks.
  • Work directly with clients to gather requirements, propose AI solutions, and implement state-of-the-art techniques.
  • Apply MLOps best practices to monitor, serve, and continuously improve models in production.
  • Solve for production constraints such as latency, error handling, and cost optimization.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
  • 8+ years of experience in AI/ML.
  • Proven track record of deploying GenAI products to production environments.
  • 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 such as Vertex AI Vector Search, pgvector, or similar.
  • Hands-on experience with Google Cloud and Vertex AI.
  • Proficiency in LangChain, LlamaIndex, or similar orchestration frameworks.
  • Knowledge of data engineering and SQL.
  • Experience with classic machine learning, such as neural nets, training, and tuning, is a strong plus.

Benefits

  • Competitive salary.
  • Comprehensive health insurance.
  • Paid leave, including vacation/PTO.
  • Paid holidays.
  • Sick leave.
  • Parental leave.
  • Bereavement leave.
  • 401(k) employer match.
  • Employee referral bonuses.

Interested in this position?

Apply directly on the company website

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