Need Junior AI/ML Developer (Fulltime)

Hybrid in Fremont, CA, US • Posted 2 hours ago • Updated 1 hour ago

Full Time

No Travel Required

Able to Sponsor

Hybrid

Depends on Experience

Fitment

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Job Details

Skills

Junior AI/ML Engineer

Summary

Job Title: Junior AI/ML Developer Location: Fremont, CA Duration: Fulltime

Key Responsibilities
Agent Development: Assist in building and deploying intelligent agents using Vertex AI Agent Builder and Agent Engine.
Protocol Implementation: Write and maintain MCP Servers to connect LLMs to external tools, databases, and Salesforce environments.
A2A Orchestration: Develop standardized Agent Cards and implement messaging logic that allows different AI agents to collaborate on complex tasks.
Cloud Infrastructure: Set up and manage basic AI workflows on Google Cloud Platform, including Cloud Run deployments and Pub/Sub messaging for agents.
Testing & Tuning: Conduct rigorous testing of agentic "reasoning" loops and perform prompt engineering to optimize model performance.
Technical Requirements
Education: Bachelor s or Master s in Computer Science, Data Science, or a related quantitative field.
Core Language: Strong proficiency in Python (AsyncIO, FastAPI/Flask).
AI Fundamentals: Understanding of LLMs (Gemini, GPT), RAG architectures, and vector databases.
Cloud Exposure: Familiarity with AWS, Azure, Google Cloud Platform.
Version Control: Proficiency with Git and collaborative development workflows.
Hands-on experience with LangChain, CrewAI, or LangGraph.
Familiarity with JSON-RPC (the backbone of MCP/A2A).
Active GitHub profile or participation in AI hackathons.

Category Must-Have (Level 1-2)
Languages Python (Advanced: AsyncIO, Typing, Pydantic), SQL, Node.js, TypeScript (useful for MCP servers)
AI Foundations LLM APIs (Gemini, GPT-4), Prompt Engineering, RAG, Agentic Workflows, Chain-of-Thought reasoning
Protocols JSON-RPC 2.0, REST APIs, WebSockets, MCP, A2A Architecture
Cloud Google Cloud Platform, Azure, AWS
Frameworks LangChain, FastAPI, Flask, LangGraph, CrewAI, LlamaIndex
Data & Vectors Vector DBs (Pinecone, Chroma, or Milvus), Google Vector Search, Firestore
DevOps/Tools Git/GitHub, Docker, Basic CI/CD, MLOps basics, Weights & Biases, LangSmith
Architecture Microservices basics, JSON/XML parsing, Agent Cards, Tool-calling definitions

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10124308
Position Id: 8930391
Posted 2 hours ago

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