AI Engineer (Agentic Systems)

• Architect and develop LangChain/LangGraph-based multi-agent systems for enterprise workloads.
• Design and expose backend services and orchestration APIs using FastAPI and Python.
• Engineer scalable agentic workflows capable of processing and reasoning over large volumes of data.
• Build and optimize Retrieval-Augmented Generation (RAG) workflows integrating vector databases and relational data stores.
• Apply expert-level prompt and context engineering techniques to maximize LLM reliability and performance.
• Implement observability, telemetry, and monitoring instrumentation to ensure the operational health of agentic services.
• Maintain high code quality standards using Python best practices and Pydantic for data validation.
• Proactively identify technical debt, architectural gaps, and new workstreams, owning them through to completion.

Experience: 5+ years of software engineering experience with a strong focus on AI/ML engineering and backend systems. Deep hands-on experience with LangChain and LangGraph for building agentic and multi-agent systems is required.

Technical Skills: Expertise in Python and Pydantic is necessary. A strong understanding of Large Language Models (LLMs), including architecture, behavior, limitations, and prompt engineering, is essential. Experience integrating vector databases into RAG workflows, particularly Elasticsearch, is strongly preferred. Candidates must have demonstrated ability to design agentic workflows that handle big data processing and experience building and consuming RESTful APIs with FastAPI.

Other Qualifications: Must be self-directed and autonomous, with the ability to own a service end-to-end and execute without heavy oversight. A conceptual understanding of LLM fine-tuning and training concepts is required.

Preferred Qualifications

• Frontend experience with React, HTML, and/or TypeScript.
• A background in Data Science or familiarity with data pipelines and analytics.
• Experience with LangSmith for LLM tracing, debugging, and evaluation.
• Experience with Galileo for LLM observability and monitoring.
• Experience working in enterprise or financial services engineering environments.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.

Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at