Agentic Engineer – Blattner Technologies  
 
Location: United States, Remote
Company Overview:
Blattner Technologies is a leader in AI-driven SaaS platforms, developing scalable solutions that optimize business workflows. Our flagship products, Superwise and Supervvisor, harness AI automation to drive efficiency and intelligence across industries. We are looking for an Agentic Engineer to develop structured, predictable, and business-aligned AI-driven automation frameworks that leverage multi-agent AI systems, LLM-powered task orchestration, and advanced AI automation frameworks.
Position Summary:
We are seeking a mid-to-senior-level Agentic Engineer with expertise in multi-agent orchestration, deterministic AI workflows, and API-driven automation. The ideal candidate will have experience in LangChain, AutoGen, DSPy, or RAG-based AI and will play a key role in refining structured AI-driven task execution frameworks. This role involves developing AI-powered reasoning engines, integrating multi-agent systems, and optimizing LLM-driven automation pipelines.
The right candidate will have deep experience in AI workflow design, retrieval-augmented generation (RAG) methods, and enterprise system integration while ensuring structured, repeatable, and scalable AI task execution.
Key Responsibilities:
•    Design, develop, and optimize deterministic AI workflows using multi-agent orchestration and AI-driven automation frameworks.
•    Develop reasoning-based AI pipelines leveraging LangChain, AutoGen, DSPy, RAG methodologies, and structured AI-driven decision-making.
•    Enhance LLM-powered task execution by implementing retrieval-augmented generation (RAG) for improved accuracy and performance.
•    Build and optimize AI-powered automation agents capable of handling enterprise workflows with structured, validated outputs.
•    Develop and integrate multi-agent systems that execute structured task orchestration with defined success metrics.
•    Implement AI-driven automation with external APIs (e.g., OpenAI, Anthropic, Hugging Face, LangGraph, Pinecone) for scalable AI execution.
•    Ensure AI workflow compliance, security, and auditability through structured validation mechanisms.
•    Work with cross-functional teams to optimize and deploy AI automation solutions that meet real-world business challenges.
•    Stay ahead of AI advancements, particularly in LLM optimization, prompt engineering, and memory-augmented AI agents.
•    Document system configurations, AI behaviors, and automation processes for technical teams and external stakeholders.
Required Qualifications:
•    4–7 years of experience in AI-driven automation, LLM-based multi-agent workflows, or enterprise AI solutions.
•    Strong Python expertise with experience in AI/ML development, API integrations, and AI automation scripting.
•    Hands-on experience with LangChain, AutoGen, DSPy, or similar AI workflow orchestration frameworks.
•    Expertise in retrieval-augmented generation (RAG) for LLM-based structured AI pipelines.
•    Experience integrating AI-driven automation with APIs such as OpenAI, Hugging Face, or Anthropic.
•    Deep understanding of multi-agent AI systems for structured, business-critical task execution.
•    Strong problem-solving skills and ability to optimize AI models for real-time, enterprise-scale applications.
•    Proficiency with cloud platforms (AWS, GCP) and AI deployment strategies.
•    Experience working with vector databases (e.g., Pinecone, Weaviate, FAISS) to support memory-enhanced AI workflows.
•    Excellent communication skills, with the ability to work effectively with both technical and non-technical stakeholders.
Preferred Qualifications:
•    Experience with reasoning-based AI automation frameworks, such as DSPy, AutoGen, or LangGraph.
•    Knowledge of AI-powered orchestration platforms (e.g., CrewAI, OpenDevin).
•    Proficiency in FastAPI, Flask, or Django for AI service deployment.
•    Experience with Git-based version control and CI/CD pipelines for AI model automation.
•    Background in AI-powered decision-making models and LLM memory optimization techniques.
Job Type:
•    Full-time
•    Remote
Compensation Range:
•    $110,000–$140,000 per year (flexible based on expertise and AI framework experience)
Benefits:
•    Comprehensive health, dental, and vision insurance.
•    Opportunities for professional growth and AI research collaboration.
•    Flexible work hours and a highly innovative team environment.
Why Join Blattner Technologies?
This role offers an opportunity to develop AI-driven automation solutions that power the future of structured AI workflows. If you are passionate about multi-agent LLM automation, AI reasoning engines, and RAG-optimized task execution, we encourage you to apply. Join our team and help shape the future of deterministic AI-driven business automation.
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