AI Systems Engineer – Python

Responsibilitie

• 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

Posted date

19-02-2026

Job title

AI Systems Engineer – Python

Job Level

Senior

Experience level

Python - 6 + Years AI integration - 2 + years

CTC

45 LPA