Python Developer AI & Data

About the role

We're looking for a Python Developer who has built AI workflows end to end and understands what separates a working demo from a production system: retrieval that returns the right context, guardrails that hold, evaluation that tells you whether a change helped or hurt, and pipelines that stay reliable at volume.

This role sits at the centre of ourAI-assisted automation and scaling efforts.

Key Responsibilities

- Design, build, and operate AI workflows in Python, from prototype through to production
- Build RAG (Retrieval-Augmented Generation) pipelines chunking, embeddings, vector search, retrieval quality, and context management
- Implement guardrails and safety controls around LLM outputs: input/output validation, grounding, hallucination mitigation, prompt-injection defence, and fallback behaviour
- Build evaluation harnesses that measure output quality objectively rather than by impression
- Build AI-driven automation that removes repetitive manual work, and scale it reliably as usage grows
- Integrate LLMs and ML models into production: API endpoints, inference services, orchestration, and supporting pipelines
- Work with AI orchestration and agent frameworks, and integrate with external tools and services
- Instrument AI systems for observability token usage, latency, cost, failure modes, and output quality over time
- Collaborate with data scientists and ML engineers to take models from notebook to production
- Work with data science and data engineering tools (Pandas, NumPy, Jupyter) for data manipulation, analysis, and validation
- Stay updated with a fast-moving AI ecosystem, and bring back what's worth adopting

Required Skills & Qualifications

- 3+ years of backend development experience in Python
- Hands-on AI workflow experience




- Robust command of Python and at least one Python web framework (FastAPI, Django, or Flask)
- Familiarity with MySQL and BigQuery, including schema design and query optimization
- Working knowledge of core AI engineering concepts: RAG, embeddings, vector databases, guardrails, context management, and evaluation
- Hands-on experience with AI tools and frameworks LLM APIs, orchestration frameworks (LangChain, LlamaIndex, or similar), and vector stores
- Experience building AI-assisted automation and scaling it beyond a proof of concept
- Solid understanding of RESTful APIs, HTTP, JSON, and integration with external services
- Experience implementing authentication, authorization, and security best practices across services and APIs
- Proven ability to optimize applications for performance, scalability, and maintainability
- Strong problem-solving, analytical, and debugging skills
- Logical thinking and a solution-oriented approach able to break down an unfamiliar problem and work toward a workable answer
- Excellent communication and collaboration abilities, and the ability to work effectively with cross-functional teams frontend, product, QA, data, and operations
- Ability to learn new technologies quickly and adapt as business requirements change
- B.E. / B.Tech / MCA or equivalent. Equivalent practical experience will be considered.

Good to Have (Advantage)

- Experience with Docker or containerized deployments
- Experience with local / open-source LLMs running, optimizing, or integrating models such as LLaMA, Mistral, or Gemma using serving tools like Ollama or vLLM, in on-prem or containerized environments

How we work We embrace AI-assisted engineering. We'd like you to use AI pair-programming tools (Claude Code, Cursor, GitHub Copilot, or similar) as a force multiplier while retaining full ownership, review, and understanding of the code you ship.

📌 Python Developer - AI & Data (Ernakulam)
🏢 Stelling Technologies
📍 Ernakulam