About Sirion
AI-native Contract Lifecycle Management (CLM) platform
Power the Future of AI & Why This Role Matters
AI Automation Engineer
As part of Sirion’s Automation team, you will design, build, and deploy intelligent automations in which AI agents reason over contracts and business data, call APIs and tools, and execute multi-step processes end-to-end, with appropriate human-in-the-loop controls.
How You’ll Make an Impact
- Design, develop, and deploy
agentic AI automations
that use LLMs, tool/function calling, memory, and multi-step reasoning to automate business processes end-to-end. - Build agent workflows using frameworks such as
LangGraph, LangChain, CrewAI, AutoGen
, or similar. - Build AI agents that interact with
APIs, databases, documents, web applications, and external tools
. - Design and implement
RAG-based solutions
using embeddings, vector databases, and semantic search. - Integrate
OpenAI, Anthropic, Gemini, or other LLM APIs
into production systems, including prompt engineering and structured outputs. - Develop scalable backend services and APIs in
Python
using FastAPI, Flask, or Django REST Framework
. - Build human-in-the-loop checkpoints, guardrails, and error-handling/retry logic so automations run reliably in production.
- Develop asynchronous and event-driven workflows where required.
- Evaluate agent quality, accuracy, latency, and cost; monitor, troubleshoot, and optimize automations in production.
- Work with databases such as
PostgreSQL, MySQL, MongoDB, or Redis
. - Deploy and maintain solutions using
Docker and CI/CD pipelines
. - Write clean, maintainable, testable, production-ready Python code.
- Collaborate with product managers, architects, business stakeholders, and engineering teams to identify automation opportunities and translate requirements into technical solutions.
- Stay current with developments in
Generative AI and Agentic AI
.
Skills & Experience You Bring to the Table
Python & Backend Development
- 4–6 years of professional experience in
Python development
. - Strong understanding of
OOP, data structures, exception handling, and concurrency (asyncio/threading)
. - Hands-on experience with
FastAPI, Flask, Django, or Django REST Framework
. - Strong experience developing and consuming
REST APIs
. - Good understanding of SQL and relational databases (
PostgreSQL/MySQL
); MongoDB/Redis experience preferred.
Agentic AI / GenAI
- Hands-on experience building
LLM-powered applications
beyond proofs of concept. - Understanding of
agentic AI architecture
, including planning, tool use, memory, and autonomous multi-step workflows. - Experience with one or more agent frameworks such as
LangGraph, LangChain, CrewAI, or AutoGen
. - Experience with
tool/function calling
and integrating external APIs and tools with LLMs. - Understanding of
RAG, embeddings, vector databases, and semantic search
. - Experience with LLM APIs such as
OpenAI, Anthropic, Gemini, or equivalent
. - Good understanding of
prompt engineering and structured LLM outputs
. - Experience with
MCP (Model Context Protocol)
and AI tool integrations. - Experience building
multi-agent systems
.
Cloud & DevOps
- Experience with
Docker
and containerized applications. - Understanding of
CI/CD pipelines
and tools such as Jenkins, GitHub Actions, or GitLab CI. - Exposure to
AWS, Azure, or GCP
. - Experience with logging, monitoring, debugging, and production deployments.
Education & Soft Skills
- Bachelor’s degree in
Computer Science, Information Technology, Electronics, Engineering, or a related field
. - Strong problem-solving and analytical skills.
- Ability to work independently and collaborate effectively with cross-functional teams.
- Strong communication and documentation skills.
Good to Have
- Experience with
RPA or workflow automation platforms
such as UiPath, Automation Anywhere, Power Automate, or n8n
. - Experience with
document AI
: extracting and processing data from PDFs, contracts, or other unstructured documents. - Exposure to
Contract Lifecycle Management (CLM)
or enterprise SaaS platforms. - Experience with task and message queues such as
Celery, RabbitMQ, or Kafka
. - Experience with
Kubernetes
. - Experience working with
open-source/local LLMs
and Hugging Face models. - Understanding of
LLM evaluation, observability, guardrails, and cost optimization
. - Basic understanding of frontend technologies such as
React, JavaScript, HTML, and CSS
.
What We Are Looking For
strong in Python backend development and has built real AI/agentic automation solutions
Commitment to Diversity and Inclusion
We are an equal opportunity employer committed to diversity and inclusion. We do not discriminate on the basis of any characteristic protected by law, and we provide reasonable accommodations for applicants with disabilities. These principles apply across all of our employment practices.
Excited About This Opportunity?
Sirion Careers page
