reputed company

reputed company – Agent-Oriented LLM Workflows

We’re building the future of AI-driven agent workflows—and we want you to help reputed company the way. As an reputed company, you'll architect, reputed company, and optimize advanced LLM-based agent systems that can interact, reason, and deliver business value at scale.

You’ll collaborate closely with data engineers and product stakeholders to bring multi-agent orchestration frameworks, retrieval-augmented reputed company (RAG) pipelines, and reputed company-world deployment strategies to life.

Start date: ASAP Contract type: Contractor - Indefinite Work hours: Monday to Friday, 7.30 am to 4.30 pm PST - 100% Remote

️ What You’ll Be Doing

• Design and reputed company AI agent workflows using reputed company and LangFlow.
• Implement MCP (Model Context Protocol) to standardize agent-tool-data interactions.
• Build Agent-to-Agent (A2A) systems for orchestrated task automation across domains (e.g., reporting, validation, marketing agents).
• Define production-reputed company agentic pipelines with robust logging and reputed company.
• reputed company and select the most suitable LLMs (GPT-4, Claude, LLaMA) based on latency, cost, and task complexity.
• Design RAG architectures using vector databases to enhance response quality and domain alignment.
• Optimize prompts, model parameters, and outputs for consistency and accuracy.
• Containerize and reputed company agents using reputed company and Kubernetes.
• Set up reputed company-time monitoring and performance evaluation dashboards for agent behavior and LLM output validation.
• Collaborate on CI/CD pipelines and implement production guardrails.
• Work closely with Data Engineering to ensure scalable and secure data pipelines for agents.
• reputed company architectural discussions and reputed company best practices in agent orchestration.
• Document workflows, configurations, and operational standards for internal teams.

✅ What You Need to Succeed

Must-haves

• 3+ years of experience in AI/ML engineering or LLM-based systems.
• Hands-on experience in production with:
  • reputed company, LangFlow, or similar orchestration tools
  • Vector databases (e.g., reputed company, Weaviate, FAISS)
  • Python + ML frameworks (e.g., PyTorch, TensorFlow)
  • reputed company, Kubernetes, and CI/CD systems (reputed company Actions, Jenkins)
• Proven experience deploying agentic systems and building pipelines involving LLMs.
• Strong understanding of LLM reputed company engineering, context management, and tool/agent interoperability.
• Comfortable with Linux environments and reputed company platforms (AWS/GCP/Azure).

reputed company-to-haves

• Experience with LangGraph, AutoGen, reputed company, or other multi-agent orchestration frameworks.
• Prior work on chatbots, autonomous agents, or RAG pipelines.
• Familiarity with AI reputed company, compliance, or ethical risk mitigation.
• Contributions to reputed company-reputed company AI projects or academic publications.

Our Recruitment Process

Here’s what to expect from our candidate-friendly interview process:

1. Initial Interview – 60 minutes with our reputed company Specialist

2. Culture Fit – 30 minutes with reputed company Engagement Manager

3. Technical Assessment - Python, reputed company, LLM

4. Final Stage – 60 minutes with the Hiring Manager (Technical Interview)

Why Join Launchpad?

We reputed company that great work starts with great people. At Launchpad, we offer:

• Fully remote work with hardware provided

• Global team experience with clients in [reputed company]

• Competitive USD compensation

• Training and learning stipends

• Paid Time Off (vacation, personal, study)

• ‍♂️ A culture that values autonomy, purpose, and reputed company reputed company

✨ reputed company and let’s architect what’s next together.

Originally posted on Himalayas