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Urgent! AI Engineer Job Opening In San Jose California – Now Hiring Spark Tek Inc



Job description


AI Engineer











Key Responsibilities:






Software Engineering & System Design









· Write, test, and deploy production-quality code with a strong focus on scalability and performance.









· Design and implement end-to-end systems including API, database, and application layers.









· Consider memory usage, performance optimization, and modular architecture in code design.









· Follow modern DevOps practices for deployment and environment management.









Python Development









· Write clean, modular Python code with proper environment management (virtualenv, poetry, conda).









· Build and deploy RESTful APIs using frameworks like FastAPI or Flask.









· Connect applications to relational and NoSQL databases.









· Containerize applications using Docker and deploy in Kubernetes / cloud environments.









Database Skills









· Write and optimize SQL and PL/SQL queries for data retrieval and transformation.









· Integrate database logic effectively into application workflows.









Generative AI Development









· Understand how Large Language Models (LLMs) work — architecture, limitations, and tuning methods.









· Design and implement RAG (Retrieval-Augmented Generation) systems:









o Build pipelines connecting vector databases, LLMs, and application layers.









o Optimize retrieval and response accuracy through prompt engineering and context management.









o Apply best practices and advanced RAG techniques (chunking strategies, caching, query re-ranking).









· Develop and manage prompt templates, parameter configurations, and evaluation metrics.









Agentic AI Systems









· Understand AI agents, their lifecycle, and how they integrate with tools and APIs.









· Implement tool calling and human-in-the-loop workflows.









· Design multi-agent architectures using frameworks such as LangChain or LangGraph.









· Apply agent orchestration best practices, ensuring reliability, observability, and control.















Required Skills & Qualifications









· Strong understanding of software design principles and ability to think like a developer (language agnostic).









· Proficiency in Python with good exposure to building APIs, database integration, and container-based deployment.









· Working knowledge of SQL / PL-SQL for querying and joining data.









· Experience in developing or integrating GenAI or RAG-based systems using OpenAI, Anthropic, or similar models.









· Familiarity with LangChain, LangGraph, or similar frameworks for AI workflow orchestration.









· Strong debugging, optimization, and analytical skills.









· Excellent communication and collaboration abilities in a fast-paced environment.















Nice to Have









· Exposure to cloud platforms (AWS, GCP, Azure) for AI workload deployment.









· Experience with vector databases (FAISS, Pinecone, Weaviate, or Chroma).









· Knowledge of monitoring and observability tools for AI systems.









· Familiarity with CI/CD pipelines, GitOps, and infrastructure automation.








Required Skill Profession

Architecture And Engineering



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    Unlock Your AI Engineer Potential: Insight & Career Growth Guide


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