Python / AI Developer – GenAI | RAG | AI Agents

🚀 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
🔹 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
🔹 Good 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: priyanka.jadhav@philodesigntech.com
📱 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.
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Work arrangement
No