Python Developer - AI & Data

Stelling Technologies; Kerala; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Stelling Technologies is seeking a Python Developer to design, build, and operate AI workflows end-to-end, with focus on retrieval, guardrails, evaluation, and scalable pipelines. You will work on RAG pipelines, vector search, and production-ready integrations with external tools and services.

The role requires strong Python skills, hands-on AI workflow experience, and familiarity with MySQL and BigQuery. Collaboration with data scientists and engineers is essential in a fast-moving AI

Qualifications

• 3+ years of backend development experience in Python.

Responsibilities

• Design, build, and operate AI workflows in Python, from prototype through to production.

Skills

Python backend

AI workflows

FastAPI/Django/Flask

MySQL

BigQuery

RAG

embeddings

vector databases

RESTful APIs

security best practices

problem solving

communication

learning quickly

Education

B.E./B.Tech./MCA or equivalent

Tools

LangChain

LlamaIndex

Pandas

NumPy

Jupyter

Docker

Job description

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
• Strong 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.