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Gen AI Engineer

Gen AI Engineer

Greymatter Innovationzbaddi, India
6 days ago
Job description

Position : Gen AI Engineer / Jr. Consultant

Location : Remote

Type : Full-time / Onsite (or specify if hybrid / remote)

Job Summary :

We are seeking a Gen AI Engineer / Junior Consultant with hands-on experience in building, deploying, and optimizing Generative AI solutions. The ideal candidate will possess strong expertise in LLMs, RAG frameworks, LangChain, and Vector Databases , along with proficiency in cloud platforms (AWS, GCP, or Azure) . You will be responsible for developing AI-driven applications, integrating APIs, and enabling intelligent automation using advanced prompt engineering and agentic AI capabilities.

Key Responsibilities :

  • Design, develop, and deploy Generative AI applications leveraging Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) frameworks.
  • Implement LangChain pipelines and integrate Vector Databases (e.g., FAISS, Pinecone, Chroma, or Milvus) for efficient context retrieval.
  • Build, test, and optimize AI agents using Agentic AI frameworks.
  • Work with cloud environments (AWS / GCP / Azure) to host and scale AI services.
  • Develop APIs and backend systems using Python and SQL for data management and interaction with AI services.
  • Apply prompt engineering techniques to enhance model output accuracy and consistency.
  • Collaborate with cross-functional teams to design end-to-end AI solutions for real-world business problems.
  • Stay current with emerging trends in Generative AI and contribute to PoCs and AI model evaluations.

Required Skills & Experience :

  • Strong understanding of Generative AI , LLMs , and RAG architecture .
  • Hands-on experience with LangChain and Vector Databases (e.g., FAISS, Pinecone, Chroma).
  • Proficiency in Python , SQL , and developing RESTful APIs .
  • Practical experience with at least one cloud platform (AWS / GCP / Azure).
  • Knowledge of Prompt Engineering and Agentic AI frameworks .
  • Familiarity with data preprocessing, model evaluation, and deployment pipelines.
  • Excellent problem-solving skills and the ability to work in a fast-paced environment.
  • Preferred Qualifications :

  • Bachelor’s or Master’s degree in Computer Science, Data Science, AI / ML, or a related field.
  • Experience in developing PoCs or production-grade AI applications.
  • Familiarity with OpenAI, Anthropic, Google Vertex AI, or Azure OpenAI APIs .
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