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Job Title: AI ML developer
Location: Raritan, NJ
Experience: 1–5 Years
We are seeking an AI ML Developer with a strong foundation in Generative AI (GenAI) to develop and deploy AI-enabled applications and services. The role focuses on building scalable Python-based backends and integrating Large Language Models (LLMs) into real-world workflows. The ideal candidate combines strong Python development skills with hands-on experience using APIs or frameworks like OpenAI, Hugging Face, LangChain, or LlamaIndex to create intelligent and interactive applications.
Key Responsibilities:
Job Title: AI ML developer
Location: Raritan, NJ
Experience: 1–5 Years
We are seeking an AI ML Developer with a strong foundation in Generative AI (GenAI) to develop and deploy AI-enabled applications and services. The role focuses on building scalable Python-based backends and integrating Large Language Models (LLMs) into real-world workflows. The ideal candidate combines strong Python development skills with hands-on experience using APIs or frameworks like OpenAI, Hugging Face, LangChain, or LlamaIndex to create intelligent and interactive applications.
Key Responsibilities:
- Develop robust, modular, and testable Python applications and APIs using frameworks like FastAPI, Flask, or Django.
- Build backend services that consume or serve LLM responses, handle session context, and manage prompt workflows.
- Optimize performance, concurrency, and error handling for GenAI-powered applications.
- Integrate with LLM APIs (OpenAI, Azure OpenAI, Cohere, Gemini, Claude, Hugging Face, etc.) to build intelligent assistants, summarization tools, and AI copilots.
- Implement Retrieval-Augmented Generation (RAG) pipelines using frameworks such as LangChain, LlamaIndex, or Haystack.
- Engineer and manage effective prompts for tasks like Q&A, semantic search, content generation, or entity extraction.
- Work with embedding models (e.g., Sentence Transformers, OpenAI Embeddings, BERT) to convert unstructured text into vector representations.
- Integrate and query vector databases like FAISS, Pinecone, Weaviate, or ChromaDB to power semantic search or document retrieval.
- Package and deploy GenAI services using Docker, Kubernetes, or AWS Lambda for scalable access.
- Collaborate with DevOps and platform teams to integrate CI/CD pipelines, logging, and monitoring.
- Bachelor’s or Master’s in Computer Science, Engineering, or a related field.
- 2–5 years of hands-on Python development experience, with emphasis on backend/API design.
- Experience integrating GenAI or NLP models using OpenAI, Hugging Face Transformers, Cohere, etc.
- Proficiency with RESTful APIs, JSON handling, and web-based integration patterns.