Home/Jobs/Python Developer — AI & Data Python Developer — AI & Data IntrCity By RailYatri Kochi 3+ years Today $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

Solid 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 Follow for Daily AI Tutorials 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.

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