Python / AI Developer – GenAI | RAG | AI Agents (Pune)

Python / AI Developer – GenAI | RAG | AI Agents (Pune)

30 Sep
|
Philodesign Technologies
|
Pune

30 Sep

Philodesign Technologies

Pune

? Hiring: Python / AI Developer – GenAI | RAG | AI Agents

Experience: 4–7 Years

Relevant AI/GenAI Experience: 1–3 Years

Location: PAN India

Employment Type: Contract / Project-Based

Openings: 5

Note: If you are immediate joiner then apply only. 30/60/90 Days notice period will not consider.

? Role Overview

We are looking for Python / AI Developers with strong hands-on experience in Python, Generative AI, LLMs, RAG, AI Agents, Machine Learning, and Data Engineering .

The ideal candidate should be capable of developing scalable AI applications, building data pipelines, integrating LLM-based solutions, and deploying production-ready AI/ML solutions.

? Key Responsibilities

- Develop AI/GenAI applications using Python, LLMs, RAG, and AI Agents .
- Build and maintain data pipelines for structured and unstructured data.
- Develop RAG-based applications using vector databases and embeddings.
- Implement prompt engineering and LLM integration techniques.
- Develop and deploy machine learning models in production.
- Work with large datasets and distributed data-processing frameworks.
- Integrate AI/ML solutions with cloud and data platforms .
- Collaborate with Data Scientists, ML Engineers, Software Developers, and business teams.
- Optimize Python and AI applications for performance, scalability, and reliability.

? Mandatory Skills
- Python – Mandatory
- SQL – Mandatory
- Generative AI / LLMs
- RAG – Retrieval-Augmented Generation
- Vector Databases
- LangChain / LlamaIndex / Hugging Face
- PyTorch / TensorFlow / Scikit-learn
- Data Structures & Algorithms
- Data Pipelines / Data Engineering
- PySpark
- Azure / AWS / Databricks
- Prompt Engineering
- Machine Learning fundamentals

? Positive to Have
- AI Agents / Agentic AI
- LLM APIs
- Embeddings & Semantic Search
- Fine-tuning / Model Evaluation
- FastAPI
- Docker / Kubernetes
- MLflow




- Azure OpenAI / AWS Bedrock
- Knowledge of cloud-native AI solutions

? Candidate Profile Looking for candidates who have:

✅ 3–7 years of overall software/AI development experience

✅ 1–3 years of hands-on AI/GenAI experience

✅ Strong Python programming and SQL skills

✅ Hands-on experience building RAG / LLM applications

✅ Experience with LangChain, LlamaIndex, or Hugging Face

✅ Experience with Vector Databases

✅ Exposure to ML frameworks and data-processing technologies

✅ Strong analytical and problem-solving skills

✅ Good communication and collaboration skills

? Interview Process

Round 1: Customer Interview

Round 2: 1–2 Subsequent Client Interview Rounds

? Apply Now

Interested candidates can share their updated CV along with:

- Total Experience
- Python Experience
- AI/GenAI Experience
- RAG Experience
- LLM Experience
- LangChain/LlamaIndex/Hugging Face Experience
- Vector Database Experience
- PySpark/Databricks Experience
- Cloud Experience
- Current Location
- Notice Period / Availability
- Current CTC & Expected CTC

? Email: [email protected] ? WhatsApp: +91 92848 05350

? LinkedIn Recruiter Search Keywords

Python Developer, Python AI Developer, AI Developer, AI Engineer, Generative AI Developer, GenAI Developer, Machine Learning Engineer, ML Engineer, LLM Engineer, LLM Developer, NLP Engineer, RAG Developer, RAG Engineer, AI Agent Developer, Agentic AI Engineer, Python ML Engineer, LangChain, LlamaIndex, Hugging Face, RAG, LLM, Generative AI, GenAI, Vector Database, Pinecone, FAISS, ChromaDB, Weaviate, PyTorch, TensorFlow, Scikit-learn, PySpark, Databricks, Azure, AWS, SQL, Machine Learning, NLP, Prompt Engineering.

#Hiring #PythonDeveloper #AIDeveloper #GenAI #GenerativeAI #LLM #RAG #AIEngineer #MachineLearning #LangChain #LlamaIndex #HuggingFace #PySpark #Databricks #Hiring

📌 Python / AI Developer – GenAI | RAG | AI Agents (Pune)
🏢 Philodesign Technologies
📍 Pune

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