Generative AI & NLP Developer
First seen by Alion on Oct 7, 2026.
Role Description :
As a Generative AI & NLP Developer (Python/LLMs) at Incedo, you will design, build, and deploy LLM-powered and NLP-driven applications. You will focus on text processing, extraction, summarization, conversational AI, and retrieval-augmented generation (RAG) solutions.
Your expertise in Python, LLM frameworks, NLP pipelines, and vector databases will be critical in delivering scalable, production-grade AI applications for enterprise use cases.
Roles & Responsibilities :
- Develop and deploy NLP and GenAI applications : text extraction, summarization, chatbots, document intelligence, and knowledge assistants.
- Build Python APIs and services (Flask/FastAPI) to integrate LLM/NLP models into enterprise workflows.
- Implement embedding-based retrieval and semantic search using vector databases (FAISS, Pinecone, Weaviate, Milvus).
- Work with LLM and NLP frameworks (Hugging Face Transformers, LangChain, LlamaIndex, SpaCy, NLTK) for fine-tuning and orchestration.
- Optimize pipelines for scalability, accuracy, and performance.
- Collaborate with engineering teams to ensure smooth integration into production environments.
Skills & Competencies :
Must-Have Technical Skills :
- Expert in Python programming : OOP, APIs, data structures, concurrency.
- Strong experience with NLP frameworks (Hugging Face, SpaCy, NLTK, Transformers).
- Practical expertise in text extraction, preprocessing, and information retrieval.
- Hands-on with LLMs and GenAI tools : Hugging Face, LangChain, LlamaIndex.
- Knowledge of vector databases : FAISS, Pinecone, Weaviate, Milvus.
- Familiarity with Pandas/NumPy for data wrangling and preprocessing.
Nice-to-Have Technical Skills :
- Exposure to TensorFlow / PyTorch for fine-tuning.
- Understanding of MLOps (Docker, Kubernetes, CI/CD).
- Experience with cloud platforms (AWS, Azure, GCP).
Skills
Generative AI, NLP, Artificial Intelligence, Python, LLM, AI Integration, OOPS, Flask, FastAPI, RAG, Agentic AI