Senior AI Engineer (Agentic AI Focus)
Senior AI Engineer (Agentic AI Focus)
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Job Description
Senior AI Engineer (Agentic AI)
Why Join Tech9
At Tech9 we are driven by a clear visionto empower organizations with AI-centered solutions that make them more adaptable efficient and future-ready. As a company at the forefront of innovation we help our clients build exceptional software that not only meets todays needs but anticipates tomorrows challenges. Our approach blends cutting-edge AI technology top-tier talent acquisition and expert project management to ensure that businesses can scale effectively and deliver high-quality world-class software on time and within budget.
Our partnerships speak volumes with clients like Instructure Young Living Imagine Learning Mars Corp. and many others trusting us to lead the way in software development. We are rapidly growing across our offices in the US LATAM and India and were creating an environment where talented individuals can thrive collaborate and have fun while building transformative solutions.
If youre excited by the opportunity to work in a fast-paced innovative environment where scaling and building the future of software is key wed love to hear from you. Join us as we work together to redefine the world of software development!
Project Overview
Were revolutionizing the online bookkeeping payroll and tax advisory space through agentic AI technology.
Our platform serves small-to-mid-sized businesses with streamlined tax services real-time bookkeeping and payroll automation. This role focuses on building a multi-agent ecosystem that can handle both internal process optimization and external client interaction.
Our goal is to enable:
- Cost efficiency through automation of repetitive internal workflows.
- Increased revenue by delivering smarter more responsive customer-facing solutions.
- Consistent value through proactive agents that augment our teams capacity and enhance the client experience.
The Agentic AI Engineer will build agents across the platform to intelligently coordinate work between systems stakeholders and clientsintegrating deeply with financial services tooling knowledge systems and APIs.
About the Role
Were looking for a highly skilled Agentic AI Engineer to design develop and operationalize smart agents capable of automating and coordinating complex workflows across a bookkeeping and tax services platform.
This individual will work closely with client stakeholders internal engineering and product teams and non-technical users to deliver an intuitive highly configurable and traceable agent system that blends autonomy with control.
This is a builder role: youll need to work from scratch when needed but also intelligently use and adapt pre-built models and frameworks to deliver scalable modular systems.
Key Responsibilities
- Build and Deploy Agentic Systems
Create AI agents using LangGraph and Python to manage internal operations and customer interactions. Architect workflows that coordinate between agents and systems across the platform. - Design Multi-Agent Ecosystem
Implement a network of agents with defined roles (e.g. task executor orchestrator client assistant) that work collaboratively to streamline bookkeeping payroll and tax workflows. - Integrate with External APIs and Services
Build tool interfaces for agents to interact with external financial software (e.g. payroll processors tax databases accounting platforms). - Ensure High Configurability
Allow non-technical users (including clients) to customize prompt instructions adjust behavior and customize rules for workflows without engineering intervention. - Deliver High Observability and Traceability
Build highly observable systems where every agent action trigger input and output can be visualized and debugged easilycritical for compliance-heavy environments. - Enable Continuous Testing & Research
Develop workflows that are resilient to change and enable testing of prompt variations edge cases and behavior tuning. - Produce Clear Technical Artifacts
Build workflow diagrams flowcharts and documentation consumable by engineers leadership and non-technical business stakeholders. - Collaborate Across Stakeholders
Work cross-functionally with product teams finance professionals and client success leaders to align AI functionality with business outcomes.
Required Qualifications
- 5 years of backend development experience with Python.
- Direct hands-on experience with LangGraph LangChain or similar agent-based/LLM frameworks.
- Understanding of agent orchestration task management and tool-based function calling.
- Proficient in integrating APIs and services
- Comfortable with AWS services and deploying agent-based systems in scalable cloud environments.
- Hands-on experience with Databricks for data workflows in multi-agent ecosystems.
- Skilled in prompt engineering and designing systems for high configurability by end users.
- Proven ability to produce workflow diagrams system maps and readable documentation for mixed audiences.
***Candidates must be located in India and have a notice period of 45 days or less to be considered.
Preferred Qualifications
- Experience in financial services bookkeeping or tax automation products.
- Familiarity with LLM observability tools tracing frameworks or agent evaluation pipelines.
- Exposure to multi-agent architectures in a production setting.
- Comfortable working as an individual contributor on lean teams where rapid execution and autonomy are key.
At Tech9 we are committed to providing a smooth efficient and transparent candidate experience. Our goal is to move quickly through the interview process typically completing it within 2-3 weeks depending on availability. We want to make sure you have clarity on every step and we will keep you informed about the next steps as we progress. The desired start date for this position is September 8th and we aim to complete the process two weeks prior to the start date.
Interview Plan
Screening Interview (On-Demand HireVue)
Duration: 30 minutes
Format: Online assessment where we will gauge your initial qualifications and experience.
Recruiter Q&A
Duration: 10 minutes
Format: Virtual discussion with our recruiter to address any initial questions and go over the job details. This is not an interview.
Take home assessment
Duration: 90-120 minutes
Format: Take home assessment used to gauge your abilities to create a mock LLM
Interview 2
Duration: 60 minutes
Format: Live virtual interview with VP of Engineering at Tech9 centered around the take home assessment. This will be focused on technical and professional/soft skill.
Client Round Interview
Duration: 3060 minutes
Format: Virtual interview with the client
Total interview time investment: 4-5 hours.
Next Steps:
We aim to finalize decisions and extend offers within a few days after the final round of interviews ensuring a swift and transparent process. Our goal is to have you ready to start by September 8th. .
We look forward to getting to know you better and moving quickly through this process to bring you on board as part of the Tech9 team!
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Required Experience:
Senior IC
Employment Type
Full-Time
