Python Developer — AI & Data

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Python Developer — AI \& Data

IntrCity By RailYatri

Kochi

3\+ years

1 day ago

$115\.7K–115\.7K/yr

Full-time

Onsite

Skills Required

RAG

LLM

Embeddings

Vector Database

LangChain

LlamaIndex

LLM APIs

vLLM

guardrails

Python

FastAPI

Django

Flask

Description

Python Developer role focused on building production-grade AI workflows, RAG pipelines, guardrails, evaluation, and automation at scale. The position emphasizes reliable deployment, observability, and collaboration with data and engineering teams.

Role:

Python Developer

Location:

Kochi, Kerala \| In person

Experience

• 3\+ years of backend development experience in Python
• Hands-on AI workflow experience
• Strong command of Python and at least one web framework
• Familiarity with MySQL and BigQuery
• Working knowledge of RAG, embeddings, vector databases, guardrails, context management, and evaluation
• Hands-on experience with LLM APIs, orchestration frameworks, and vector stores
• Experience building AI-assisted automation beyond a proof of concept
• Solid understanding of RESTful APIs, HTTP, JSON, and external service integration
• 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
• Excellent communication and collaboration abilities
• Ability to learn new technologies quickly and adapt to changing business requirements
• Python: 3 years

Qualification

• B.E.
• B.Tech
• MCA
• Equivalent practical experience considered

Responsibilities

• Design, build, and operate AI workflows in Python from prototype to production
• Build RAG pipelines including chunking, embeddings, vector search, retrieval quality, and context management
• Implement guardrails and safety controls around LLM outputs
• Build evaluation harnesses to measure output quality objectively
• Build AI-driven automation and scale it reliably as usage grows
• Integrate LLMs and ML models into production via API endpoints, inference services, orchestration, and supporting pipelines
• Work with AI orchestration and agent frameworks and integrate external tools and services
• Instrument AI systems for observability across token usage, latency, cost, failure modes, and output quality
• Collaborate with data scientists and ML engineers to move models from notebook to production
• Use data science and data engineering tools for data manipulation, analysis, and validation

Additional Responsibilities

• Stay updated with the fast-moving AI ecosystem and bring back what is worth adopting
• Implement input and output validation
• Implement grounding, hallucination mitigation, prompt-injection defence, and fallback behaviour
• Work with data science and data engineering tools including Pandas, NumPy, and Jupyter
• Use AI pair-programming tools as a force multiplier while retaining ownership, review, and understanding of shipped code
• Work with cross-functional teams including frontend, product, QA, data, and operations

Nice To Have

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

More Skills

MySQL, BigQuery, context management, evaluation, RESTful APIs, HTTP, JSON, authentication, authorization, security, performance optimization, scalability, maintainability, Pandas, NumPy, Jupyter, Docker, Claude Code, Cursor, GitHub Copilot, LLaMA, Mistral, Gemma, Ollama

Other

• AI-assisted engineering is the working style
• Pay from ₹800,000\.00 per month
• Health insurance
• Provident Fund
• Work location is in person
• Ability to commute or relocate to Kochi, Kerala is required
• Expected CTC is asked as an application question

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Prepare for this role

Recommended resources to build the skills for this position. Sponsored.

Generative AI with Large Language Models

Coursera

Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

Python for Everybody Specialization

Coursera

Learn Python from scratch — variables, data structures, web scraping, and databases.

Python 3 Programming Specialization

Coursera

Intermediate Python covering classes, inheritance, APIs, and data processing.

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