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 AIRAG (Retrieval-Augmented Generation)LLMs (Large Language Models)EmbeddingsVector Databases (e.g., Pinecone, Faiss)Prompting TechniquesLangChain / LlamaIndexFastAPINode.js / TypeScriptCachingObservabilityModel DeploymentContent SafetyMonitoring & AnalyticsBackend 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