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Apptware

AI Engineer – GenAI / LLM / RAG | Python | LangChain

Department
Engineering
Job Type / Location
Pune
Experience Required
4+ years
Posted On

About Apptware

At Apptware, we are building AI-driven systems that solve complex, real-world business problems. We are looking for an AI Engineer who enjoys working with GenAI, LLMs, and scalable machine learning solutions.

Role: AI Engineer – GenAI / LLM / RAG | Python | LangChain

Experience: 4–6 years
Location: Pune or Bangalore

What you should bring

  • Strong background in Computer Science, AI, Mathematics, Statistics, or a related quantitative field discipline
  • Hands-on experience with Python and statistical libraries
  • Strong fundamentals in probability, statistics, ML algorithms, and computer science
  • Experience with ML techniques such as classification, regression, feature engineering, hyperparameter tuning, unsupervised learning, and time-series analysis
  • Proven experience in training, fine-tuning, and deploying Generative AI models
  • Hands-on experience with LLMs such as GPT, LLaMA, Mistral, Claude, or similar
  • Experience building RAG pipelines using vector databases like Pinecone, Weaviate, Milvus, or FAISS
  • Good understanding of embeddings and their use in semantic search and recommendations
  • Exposure to agentic AI frameworks like LangChain, LlamaIndex, AutoGen, or CrewAI
  • Experience with R, SAS, SPSS, Strata, or MATLAB is a plus

What you will work on

  • Build and deploy GenAI and LLM-based applications, including chatbots, copilots, and agents
  • Design and optimise RAG pipelines for enterprise knowledge systems
  • Develop embedding-based solutions for search, personalisation, and recommendations
  • Work with unstructured data to build scalable ML and AI solutions
  • Design experiments, test hypotheses, and communicate insights clearly

Nice to have

  • Experience with NLP techniques and libraries such as SpaCy, NLTK, Hugging Face, or OpenAI APIs
  • Understanding of BERT, ELMo, LSTM, and CNN architectures
  • Exposure to cloud AI platforms like AWS SageMaker or Azure Machine Learning
  • Experience with multimodal AI or advanced ML techniques
  • Personal projects or Kaggle experience

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Think you'll be a good fit?