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The job description asks for Python, AI/ML applications, LLM-powered systems, AI agent framework, prompt engineering, chain-of-thought reasoning, function calling and tool use. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

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This is based in Kolkata, West Bengal.

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AI Developer

Codebuddy Pvt. Ltd.

Kolkata, West Bengal, India

Python Developer

AI Agents, Intelligent Automation & Applied AI

Department:

Engineering / AI & Automation

Employment Type:

Full-Time

Experience Level:

Mid to Senior (3–6+ years)

ABOUT THE ROLE

We are looking for a versatile AI Developer with strong expertise in building AI agents, intelligent automation systems, and LLM-powered applications. You will architect, develop, and deploy autonomous and semi-autonomous AI solutions that streamline business operations, enhance decision-making, and create new product capabilities across our ecosystem.

KEY RESPONSIBILITIES

Architect and build AI agents using frameworks such as LangChain, LangGraph, AgnoAI, or custom multi-agent systems.
Design and implement end-to-end AI solutions — from prompt engineering and model selection to deployment and monitoring.
Integrate large language models (OpenAI, Anthropic Claude, open-source models) with external APIs, databases, and enterprise systems via function calling and tool use.
Build Retrieval-Augmented Generation (RAG) pipelines using vector databases such as Pinecone, Weaviate, ChromaDB, or pgvector.
Develop intelligent automation workflows using platforms like n8n, Make.com, Zapier, or custom orchestration engines.
Create data ingestion and processing pipelines, including web scraping, document parsing (PDF, DOCX), and structured/unstructured data extraction.
Evaluate, benchmark, and select AI models and tools based on performance, cost, latency, and accuracy trade-offs.
Deploy and manage AI services on cloud platforms (AWS) using containerized and serverless architectures.
Implement observability, logging, and evaluation frameworks to monitor agent behavior and continuously improve performance.
Stay ahead of the rapidly evolving AI landscape — proactively evaluate new models, frameworks, and agentic design patterns.
Collaborate with product, data, and engineering teams to translate business problems into AI-powered solutions.

REQUIRED QUALIFICATIONS

3+ years of experience in software development with at least 1+ year focused on AI/ML applications or LLM-powered systems.
Strong proficiency in Python; working knowledge of JavaScript/TypeScript is a plus.
Hands-on experience building AI agents or agentic workflows in production environments.
Proficiency with at least one AI agent framework: LangChain, LangGraph, AgnoAI, or equivalent.
Deep understanding of prompt engineering, chain-of-thought reasoning, function calling, tool use, and agentic design patterns.
Experience with LLM APIs (OpenAI, Anthropic, Gemini, or open-source model serving) and embedding models.
Familiarity with vector databases and RAG architecture patterns.
Working knowledge of RESTful APIs, webhooks, and system integrations.
Experience with Git, CI/CD pipelines, and agile development practices.
Strong problem-solving mindset with the ability to work independently in a fast-paced, evolving environment.

PREFERRED QUALIFICATIONS

Experience fine-tuning or deploying open-source LLMs (LLaMA, Mistral, Kimi, etc.) using frameworks like vLLM, Ollama, or Hugging Face.
Familiarity with multi-agent orchestration, task decomposition, and autonomous planning systems.
Knowledge of cloud infrastructure (AWS ECS, Lambda, EC2, SageMaker) and containerized deployments (Docker, Kubernetes).
Experience with workflow automation platforms such as n8n, Make.com, or Temporal.
Background in building conversational AI, chatbot platforms, or voice AI systems.
Experience with computer vision, NLP, or other specialized ML domains.
Understanding of AI safety, evaluation methodologies, and responsible AI practices.
Contributions to open-source AI projects or published work in applied AI.

TECH STACK

AI/ML: LangChain, LangGraph, AgnoAI, OpenAI API, Anthropic API, vLLM, Ollama Languages: Python (primary), JavaScript/TypeScript, SQL

Databases: PostgreSQL, MongoDB, Redis, Pinecone, ChromaDB, Weaviate

Cloud & DevOps: AWS (ECS, Lambda, S3, RDS, SageMaker), Docker, GitHub Actions, Jenkins Automation: n8n, Make.com, Zapier, custom orchestration engines

Tools: Git, VS Code, Postman

WHAT WE OFFER

Competitive salary with performance-based bonuses.
Opportunity to work on cutting-edge AI agents and automation projects with real-world impact.
Flexible remote/hybrid work arrangements.
Professional development budget for AI courses and certifications.
Access to the latest AI tools, models, and compute resources.
A collaborative, innovation-driven team culture that encourages experimentation.

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