Python Developer - AI & Data

Stelling Technologies; Ernakulam; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Stelling Technologies is seeking a Python Developer specializing in AI and data workflows. You will design, build, and operate AI pipelines from prototyping to production, focusing on robust retrieval, guardrails, and scalable orchestration.

Collaboration with data scientists and ML engineers to push models from notebook to production is key. You’ll work with Pandas, NumPy, and Jupyter for data manipulation and validation, and stay current with a fast-moving AI ecosystem while delivering

Qualifications

• 3+ years of backend development experience in Python.
• Hands-on AI workflow experience with production focus.
• Strong command of Python and a Python web framework (FastAPI, Django, Flask).
• Familiarity with MySQL and BigQuery, schema design and query optimization.
• Knowledge of RAG, embeddings, vector databases, guardrails, context management and evaluation.
• Experience with LLM APIs, LangChain/LlamaIndex, and vector stores.
• Ability to optimize applications for performance, scalability, and maintainability.
• Proven problem-solving, analytical, and debugging skills.
• Excellent communication and ability to work with cross-functional teams.

Responsibilities

• Design, build, and operate AI workflows in Python from prototype to production.
• Build RAG pipelines: chunking, embeddings, vector search, and context management.
• Implement guardrails and safety controls around LLM outputs.
• Build evaluation harnesses to measure output quality objectively.
• Create AI-driven automation to scale with usage growth.
• Integrate LLMs and ML models into production: APIs, inference, orchestration.
• Collaborate with data scientists and ML engineers to move models to production.
• Work with data science tools (Pandas, NumPy, Jupyter) for data manipulation and validation.
• Stay updated with AI ecosystem and bring back relevant advancements.

Skills

Python

AI workflows

REST APIs

Security best practices

Performance optimization

Scalability

Communication

Adaptability

LLM APIs

LangChain

LlamaIndex

Embeddings

RAG

Vector databases

Context management

Evaluation

RESTful

Education

B.E. / B.Tech / MCA

Tools

Docker

Ollama

vLLM

LLaMA

Mistral

Gemma

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.