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FE
AI Engineer - NY
Fa Ertb Saasfaprod1 · United States
About The Role
Key Responsibilities Agentic AI Development
- Design and implement autonomous AI agents capable of reasoning, planning, and executing multi-step workflows.
- Develop multi-agent systems that collaborate to solve complex tasks.
- Build tool-using agents that interact with APIs, databases, and enterprise services.
LLM Orchestration
- Develop AI pipelines using LangChain, LangGraph, and related frameworks.
- Implement prompt engineering, memory systems, and reasoning chains.
- Integrate LLMs such as OpenAI, Anthropic, Gemini, or open-source models.
Agent Frameworks & ADK
- Build production-ready agents using Agent Development Kits (ADK).
- Implement tool registries, agent planning systems, and execution loops.
- Develop modular agent architectures that support extensibility and reliability.
Frontend AI Interaction (React Loop)
- Build interactive AI-driven user experiences using React Loop or similar frameworks.
- Design real-time interfaces for agent interaction, monitoring, and feedback loops.
- Implement streaming responses and agent status visualizations.
Backend & Infrastructure
- Develop scalable AI services using Python (FastAPI, Flask, or similar).
- Integrate agents with vector databases, RAG pipelines, and knowledge graphs.
Production AI Systems
- Implement observability, evaluation, and guardrails for agent behavior.
- Optimize AI pipelines for latency, cost, and reliability.
- Ensure security, governance, and compliance for AI systems.
Required Qualifications
- 7+ years of software engineering experience.
- Strong expertise in Python for AI/ML development.
- Hands-on experience with LangChain / LangGraph.
- Experience building agentic AI systems or autonomous agents.
- Experience with React-based AI interfaces (React Loop or similar).
- Familiarity with vector databases (Pinecone, Weaviate, FAISS, etc.).
- Experience with ADK (Agent Development Kit) frameworks.
- Experience building multi-agent systems.
- Knowledge of RAG architectures and knowledge retrieval systems.
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Compensation, Benefits and Duration
- Minimum Compensation: USD 40,000
- Maximum Compensation: USD 141,000
- Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
- Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
- This position is not available for independent contractors
- No applications will be considered if received more than 120 days after the date of this post
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