Overview
Remote
Depends on Experience
Contract - Independent
Contract - W2
Contract - 6 Month(s)
Able to Provide Sponsorship
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.
Job Details
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.
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