AI Systems Engineer – Python
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Job Location:
Monthly Salary:
Posted on:
7 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Description
AI Systems Engineer – Python
Responsibilities
Deliver high quality Python services and AI components.
Take part in team ceremonies and collaborate closely with engineers and product.
Understand product requirements and propose simple practical designs.
Implement clean testable maintainable Python code.
Build retrieval pipelines for embeddings chunking indexing and vector search.
Integrate LLMs using APIs or local models served via Ollama or similar.
Add automated tests from unit to integration.
Diagnose and fix production issues.
Improve system performance reliability and cost efficiency.
Contribute to code reviews and maintain coding standards.
Work with DevOps product QA and design to deliver reliable AI features.
Knowledge Skills and Experience Required
Proven experience required:
Clear and accurate technical communication in English.
Can write performant testable and maintainable Python code
6 years of proven commercial Python experience
2 years working directly with AI systems LLMs retrieval or model integration.
SQLite and JSON storage and Retrieval
Code UI in Streamlit or similar frameworks
Use LangChain pragmatically for orchestration tools retrievers and evals.
Experience serving quantised models using Ollama vLLM or similar.
Experience building backend services and APIs.
Familiarity with LLMs tokenisation prompting and model serving.
Experience with retrieval systems embeddings and vector databases.
Build AI data ingestion and indexing pipelines.
Build custom Docker containers for various combinations of code/tool of Python/SQLite/Ollama/FastAPI or other similar
tools
Containers (Docker) and Kubernetes one major cloud AWS or Azure.
Model relationships with graph databases Memgraph Neo4j or Neptune and blend graph plus vector search.
Understanding of Event-based framework (Pub/Sub Queues)
General Experience Required:
Knowledge of Pyventus or similar python based events framework
Knowledge of RAG evaluation frameworks.
ML in Python (will consider other ML experience as well)
Experience with monitoring and tracing for example OpenTelemetry Prometheus or Grafana.
Nice to have
Agentic framework (Claude skills MCP-server/client other similar frameworks)
PortKey or similar AI Gateways
Langfuse or similar LLM monitoring tools
Working Conditions
Hybrid work model with four days working from the Kochi office and Fridays as work-from-home.
Employees can choose from multiple shift options : 9:00 am to 6:00 pm 10:00 am to 7:00 pm and 11:00 am to 8:00 pm
Required Skills:
Clo Cto Devops Azure Sqlite Neo4j Json Python Aws Sql Docker
Key Skills
- Environment
- Academics
- Javase
- Cost Estimation
- Fire
- Business Studies
