Python AI/ML Developer

Description :

Posting title : Python AI/ML Developer

Experience : 2-4 Years

Location : Makarba, Ahmedabad

Work mode : On-site

Primary skills : Python, AI/ ML, Django/ Flask/ Fast API, OpenAI, Langchain, RAG, NoSQL/ MySQL/ PostgreSQL

Qualification : Any Technical Degree

About the Role :

We are seeking a highly skilled and passionate Python AI Developer to join our growing team. The ideal candidate will have strong experience in backend development using Flask, Django, or FastAPI, along with hands-on expertise in AI/ML model integration, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) architectures.

Youll work on building scalable backend systems, AI-driven applications, and intelligent APIs by leveraging OpenAI, LangChain, Hugging Face, and other leading AI frameworks.

Key Responsibilities :

- Backend Development : Design, develop, and deploy scalable backend systems using Flask, Django, or FastAPI.

- AI/ML Model Integration : Build and integrate AI/ML models, including LLMs for NLP and automation use cases.

- RAG Pipelines : Implement Retrieval-Augmented Generation architectures with vector databases (Pinecone, FAISS, Chroma, Weaviate).

- AI Ecosystem Integration : Work with tools such as OpenAI, Hugging Face, LangChain, and LlamaIndex to develop advanced AI applications.

- API Development : Develop and manage RESTful and GraphQL APIs for seamless system integrations.

- Optimization & Scalability : Enhance performance, ensure data security, and maintain reliability of production systems.

- Cross-functional Collaboration : Work closely with data scientists, frontend developers, and product teams to deliver end-to-end AI solutions.

- Research & Innovation : Explore emerging AI frameworks, libraries, and tools to drive continuous innovation.

Required Skills & Qualifications :

- Programming : Strong proficiency in Python.

- Frameworks : Hands-on experience with Flask, Django, and FastAPI.

- Expertise with OpenAI API, LangChain, Hugging Face.

- Knowledge of RAG pipelines and vector databases (Pinecone, FAISS, Chroma, Weaviate).

- Experience with LlamaIndex or similar AI orchestration tools.

- Databases : Proficiency with PostgreSQL, MySQL, MongoDB, Redis.

- Cloud & DevOps : Experience with AWS, Azure, or GCP; familiarity with Docker and Kubernetes preferred.

- Version Control : Proficient in Git/GitHub or GitLab.

- Architecture : Strong understanding of RESTful APIs, microservices, and JSON-based integrations.

- Education : Bachelors or Masters in Computer Science, AI, Data Science, or related field.

- AI Expertise : Experience with prompt engineering, fine-tuning LLMs, and MLOps practices.

Soft Skills :

- Strong analytical and problem-solving mindset.

- Excellent communication and collaboration skills.

- Team-oriented with a proactive and innovative approach.

- Passionate about exploring and implementing emerging AI technologies.