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Generative Ai Engineer



Job description

Job Description: Generative AI Engineer


Location: Remote / Bangalore

Employment Type: Full-time

Department: AI & Research

Industry: IT Services & Consulting

Role Category: AI/ML – Generative AI


Role & Responsibilities:

As a Generative AI Engineer, you will be responsible for designing, developing, and deploying generative AI models, large language model (LLM) applications, and agentic flows.

Your core responsibilities will include:

  • Build Production RAG/Agentic Flows: Develop and implement advanced retrieval-augmented generation (RAG) flows, including tasks like chunking/embeddings, retrieval, tool/function calling, and caching for scalable AI solutions.
  • Evaluation Harnesses: Implement evaluation frameworks to assess model quality based on key metrics such as groundedness, relevance, and completeness.

    Perform regression checks to ensure the stability of models over time.
  • Guardrails & Content Safety: Integrate content safety measures, guardrails, and proactive monitoring systems to ensure responsible AI usage.

    You will be responsible for documenting prompts/configs and optimizing for cost and latency considerations.
  • API/SDK Development: Develop and ship high-performance APIs/SDKs used by both web and mobile teams, ensuring seamless integration of AI-driven features.
  • Cross-functional Collaboration: Collaborate with different teams to ensure that the AI solutions meet the needs of the business while maintaining high quality and compliance standards.


Desired Candidate Profile:
  • Experience: 1–2 years of experience in backend/application development with a focus on AI/ML systems, especially in Generative AI, LLMs, and AI-powered applications.
  • Technical Skills:
  • Proficiency in backend programming languages like Python or TypeScript.
  • Practical experience working with Generative AI models, especially around model deployment, prompt engineering, and scaling solutions.
  • Familiarity with Vector Databases (e.G., Pinecone, Weaviate) for managing embeddings and data retrieval.
  • Experience with tools like LangChain or LlamaIndex for building AI-powered systems.
  • Understanding of caching strategies to optimize system performance.
  • Knowledge of observability principles and tracing techniques to monitor AI model performance in production environments.
  • Education:
  • B.E/B.Tech/M.E/M.Tech/MCA or equivalent in Computer Science, AI, Data Science, or a related field.
Key Skills:
  • Generative AI
  • RAG (Retrieval-Augmented Generation)
  • LLMs (Large Language Models)
  • Embeddings
  • Vector Databases (e.G., Pinecone, Faiss)
  • Prompting Techniques
  • LangChain/LlamaIndex
  • FastAPI
  • Node.Js/TypeScript
  • Caching
  • Observability
  • Model Deployment
  • Content Safety
  • Monitoring & Analytics
  • Backend Development (Python/TypeScript)
Notice Period:
  • Immediate to 30 days preferred.


#GenerativeAI #BackendDevelopment #LLMs #AI #AIEngineer #RAG #Embeddings #VectorDB #LangChain #LlamaIndex #Python #TypeScript #API #Caching #Observability #AIResearch #ContentSafety #FastAPI #NodeJS #TechJobs #RemoteJobs #BangaloreJobs #AIinIT #ITConsulting #MachineLearning #AIandML


Required Skill Profession

Computer Occupations



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