Agentic AI/ML Engineer (LangChain / Multi-Agent Systems) - Bossini Technologies - Remote | Dice.com

Bossini Technologies

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Agentic AI/ML Engineer (LangChain / Multi-Agent Systems)

Remote • Posted 22 days ago • Updated 22 days ago

Contract W2

Contract Independent

Able to Sponsor

Remote

Depends on Experience

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Bossini Technologies

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Job Details

Skills

agentic AI
autonomous systems
multi-agent systems
AI agents
Agentic Frameworks
LangChain
LangGraph
ADK
custom agent runtime
LLM Integration Platforms
OpenAI API
Anthropic Claude API
Azure OpenAI
Google Vertex AI
vLLM
TensorRT-LLM
Ollama.
function calling
API integration
IDEs (Cursor
Windsurf)
Jupyter notebooks
sandboxed tool usage.

Summary

Job description:

Role: Senior Fullstack AI/ML Engineer (Agentic Systems)
Working model: remote
Grade: Lead

What You ll Do

Design and build agentic systems that autonomously perform tasks, interact with users, and adapt to changing environments.
Write clean, scalable, and maintainable code, following best practices and solid design patterns.
Collaborate closely with architecture, product, security, and engineering teams to align technical solutions with business goals.
Research and experiment with emerging technologies, frameworks, and design principles to keep our solutions cutting-edge.
Build rapid prototypes and proof-of-concepts, evolving them into production-ready systems.
Leverage cloud platforms (AWS, Azure, Google Cloud Platform) to deploy AI solutions and manage infrastructure with high performance and scalability.

What We re Looking For

5+ years in AI/ML engineering, with at least 2+ years focused on agentic AI or autonomous systems.
Proven experience building multi-agent systems from scratch.
Strong understanding of how to move AI agents from proof-of-concept to production-ready systems.
Hands-on experience with Agentic Frameworks: LangChain, LangGraph, ADK, and custom agent runtime environments.
Proficiency with LLM Integration Platforms: OpenAI API, Anthropic Claude API, Azure OpenAI, Google Vertex AI, vLLM, TensorRT-LLM, Ollama.
Knowledge of tool-using AI systems: function calling, API integration, IDEs (Cursor, Windsurf), Jupyter notebooks, and sandboxed tool usage.
A problem-solving mindset with the ability to design emergent behaviors and deliver pragmatic autonomous solutions.

Nice to Have

Experience with Agent Orchestration Platforms: Kubernetes, Apache Airflow, Temporal, Agentspace, event-driven architectures (Kafka, RabbitMQ).
Familiarity with Vector Databases & Knowledge Systems: Pinecone, Weaviate, Chroma, Qdrant, Neo4j, Neptune.
Bachelor s degree in Computer Science or related field.

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: 91159179
Position Id: 8792885
Posted 22 days ago

Company Info

About Bossini Technologies

Are you passionate about tackling challenging assignments in the latest technologies? At Bossini, we offer a dynamic work environment where innovation thrives. We're looking for talented individuals who are eager to work on cutting-edge projects and are driven by a desire to make a tangible impact. With us, you'll enjoy competitive pay, a culture of continuous learning, and the opportunity to be part of a team that values creativity and collaboration.

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Agentic AI/ML Engineer (LangChain / Multi-Agent Systems)

Bossini Technologies

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