Agentic Engineer

at  Blattner Technologies

COMPANY OVERVIEW:

Blattner Technologies is a leader in AI-driven SaaS platforms, developing cutting-edge, scalable solutions that optimize business workflows. Our flagship products, Superwise and Supervvisor, leverage advanced AI automation to drive efficiency and intelligence across industries. We are looking for an Agentic Engineer to help develop and refine deterministic AI-driven automation frameworks, ensuring structured, predictable, and business-aligned AI workflows.

JOB SUMMARY:

We are seeking a mid-to-senior level Agentic Engineer with expertise in AI-driven automation, deterministic workflow orchestration, and system integration. This role will focus on building and optimizing Agentic Pipelines, ensuring precise, structured execution of AI-driven processes. You will work with LLM-powered task orchestration, API-driven automation, and enterprise system integration to deliver reliable, scalable, and repeatable AI workflows. This position requires strong problem-solving skills, Python development expertise, and a deep understanding of AI automation frameworks tailored for business applications.

REQUIRED QUALIFICATIONS:

• 3–6 years of experience in AI engineering, automation development, or intelligent systems design.

• Proficiency in Python, with experience in AI/ML development, automation scripting, and API integrations.

• Experience designing deterministic AI workflows, focusing on structured, predictable task execution.
• Expertise in multi-agent frameworks, such as LangChain, Auto-GPT, BabyAGI, or similar.
• Strong experience with LLM-driven automation, including prompt engineering and context-aware retrieval methods.
• Ability to integrate AI-driven automation with RESTful APIs and enterprise data systems.
• Strong analytical and problem-solving skills, with an ability to optimize AI models for production-scale applications.
• Excellent communication and collaboration skills, working with both technical and non-technical stakeholders.
• A self-driven, innovative mindset with a passion for AI-driven automation and structured task orchestration.

PREFERRED QUALIFICATIONS:

• Experience with autonomous decision-making models and reinforcement learning frameworks.

• Knowledge of AI-powered orchestration platforms like CrewAI or OpenDevin.

• Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) for memory-enhanced AI workflows.
• Experience with Git-based version control and CI/CD pipelines for automation.
• Basic understanding of cloud platforms (AWS, GCP) and AI deployment strategies.

Job Type: Full-time
Compensation Range: $100,000–$140,000 per year

BLATTNER TECHNOLOGIES IS AN EQUAL-OPPORTUNITY EMPLOYER, COMMITTED TO FOSTERING A DIVERSE AND INCLUSIVE WORKPLACE. WE ENCOURAGE APPLICATIONS FROM ALL QUALIFIED INDIVIDUALS, REGARDLESS OF RACE, GENDER, IDENTITY, SEXUAL ORIENTATION, DISABILITY, OR VETERAN STATUS.

Join us in shaping the future of AI-driven automation and deterministic workflow orchestration

• Design, develop, and refine Agentic Pipelines that ensure structured, deterministic AI-driven task execution.

• Implement and optimize multi-step AI workflows, integrating structured data and LLM-driven decision-making processes.

• Develop role-specific AI agents capable of handling business-critical processes with predictable and validated outputs.
• Enhance LLM prompt configurations and retrieval-augmented generation (RAG) methodologies to improve system accuracy and performance.
• Integrate AI-driven automation with external APIs (e.g., OpenAI, Anthropic, LangChain, Auto-GPT) to enable seamless enterprise automation.
• Collaborate with cross-functional teams to refine AI-driven workflows based on real-world business requirements.
• Implement robust validation mechanisms for workflow checkpoints, ensuring auditability, compliance, and security.
• Stay ahead of AI and automation trends, continuously improving models, pipelines, and business logic for optimal performance.
• Document configurations, system behaviors, and automation processes for internal teams and external stakeholders.