Generative AI Developer

1 week ago

Pune, Maharashtra, India Synapse Tech Services Inc Full time ₹ 1,04,000 - ₹ 1,30,878 per year

About The Role
We are seeking an experienced Python and Generative AI Developer to design, develop, and deploy intelligent AI-driven solutions.

The ideal candidate will have strong expertise in Python backend frameworks, Natural Language Processing (NLP), and hands-on experience with Generative AI models (LLMs).

This role involves working on end-to-end AI pipelines, integrating APIs, and collaborating with cross-functional teams to deliver scalable and impactful applications.

Key Responsibilities

  • Develop and maintain scalable backend applications using Python, Flask, and FastAPI.
  • Design, integrate, and fine-tune Generative AI solutions leveraging LLMs (GPT, LLaMA, Claude, etc.
  • Build and optimize data pipelines using Pandas, NumPy, and SQL.
  • Architect and implement APIs/services to seamlessly interface applications with GenAI models.
  • Manage and query databases (SQL and MongoDB) for structured and unstructured data storage.
  • Apply advanced NLP algorithms such as Named Entity Recognition (NER), document classification, and sentiment analysis.
  • Implement prompt engineering and build RAG (Retrieval-Augmented Generation) pipelines.
  • Work with vector databases (FAISS, Pinecone, Chroma) for embedding and retrieval tasks.
  • Collaborate with product, data science, and DevOps teams for smooth deployment of AI-powered solutions.
  • Ensure scalability, performance, and reliability of deployed AI systems.

Required Skills & Qualifications

  • Strong proficiency in Python, with production experience using Flask and FastAPI.
  • Solid expertise in Pandas, NumPy, and SQL for data handling and transformations.
  • Hands-on experience with MongoDB and schema design.
  • Proven experience in working with LLMs (OpenAI, Hugging Face, Anthropic APIs, etc.
  • Strong understanding of NLP tasks (NER, text classification, sentiment analysis, summarization).
  • Familiarity with AI/ML libraries such as SpaCy, Hugging Face Transformers, and LangChain.
  • Experience with vector databases for semantic search and retrieval-based workflows.
  • Proficiency in RESTful API development and integration.
  • Knowledge of Git, Docker, and CI/CD pipelines for collaborative development.
  • Exposure to cloud platforms (AWS, GCP, or Azure) and MLOps tools.

Preferred Qualifications

  • Experience in fine-tuning or training LLMs.
  • Familiarity with Kubernetes and container orchestration.
  • Knowledge of data security and compliance in AI workflows.
  • Strong problem-solving, analytical, and communication skills

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