Automation Engineer
24 hours ago
We are looking for a skilled
Automation Engineer / Python Developer
to join our engineering team. You will play a key role in integrating AI tools and automation workflows into our existing web applications. The ideal candidate should have hands-on experience with Python, APIs, and AI model integration (e.g., OpenAI, Hugging Face, LangChain, or similar).
You will collaborate with our product and data teams to design, develop, and deploy automation systems, and assist in training and fine-tuning AI models to improve system performance and accuracy.
Key
Responsibilities
- Develop automation scripts and backend logic in
Python
to streamline internal and external workflows. - Integrate and manage
AI APIs
(e.g., OpenAI, Anthropic, Hugging Face, Google Vertex AI, etc.) into web applications. - Build connectors or middleware between our applications and third-party AI tools.
- Collaborate with the data and ML teams to
train, fine-tune, and deploy AI models
. - Design and implement
data pipelines
, monitoring tools, and process automation frameworks. - Maintain and improve existing automation systems and ensure performance optimization.
- Write clean, reusable, and efficient code following best practices.
- Support debugging, testing, and deployment processes in production environments.
Required Skills & Qualifications
- 3+ years
of professional experience in Python development. - Strong understanding of
REST APIs
,
webhooks
, and
automation frameworks
. - Experience working with
AI/ML APIs
(e.g., OpenAI, LangChain, Hugging Face). - Familiarity with
cloud services
(AWS, GCP, or Azure). - Experience with
data handling
,
ETL
, or
pandas/Numpy
for preprocessing. - Proficiency in
version control (Git)
and
CI/CD pipelines
. - Basic knowledge of
web technologies
(JavaScript, , or Django/Flask backend frameworks). Excellent problem-solving and communication skills.
Preferred Skills
- Experience building
chatbots, RAG systems, or AI-driven assistants
. - Familiarity with
Docker
and
containerised deployments
. - Understanding of
prompt engineering
and
vector databases
(e.g., Pinecone, Chroma, Weaviate). - Knowledge of
automation tools
like Selenium, Playwright, or RPA frameworks. - Background in
data science, NLP, or ML model integration
.
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