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AI Application Development Engineer

AI Application Development Engineer

Nexoria Techworks Inc.Bengaluru, Republic Of India, IN
30+ days ago
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

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    Application Development Engineer • Bengaluru, Republic Of India, IN

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