Generative AI Architect/Developer
Role details
Job location
Tech stack
Job description
- Architect and implement GenAI solutions using open-source and proprietary LLMs.
- Design and execute fine-tuning pipelines for LLMs using custom datasets.
- Develop Retrieval Augmented Generation patterns and scalable inference services.
- Build and integrate APIs for model serving using REST, FastAPI, or Flask.
- Apply classical ML and deep learning methods to NLP tasks and evaluations.
- Deploy applications and models to platforms such as Azure ML, Streamlit, or Hugging Face Spaces.
- Collaborate in Agile teams and contribute to solution design, code reviews, and documentation.
Requirements
We are seeking a Senior Architect / Senior Developer to join our dynamic team on the ENACT Modernization project. The ideal candidate will have strong experience in designing and delivering Generative AI solutions on cloud platforms and a proven ability to build, fine-tune, and deploy large language model solutions using Python., + Proven hands-on GenAI project experience with open-source LLMs (Llama, Gemma, Mistral, GPT OSS) and proprietary APIs (OpenAI, Anthropic).
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Experience fine-tuning LLMs such as Llama 2 and GPT-4 for task-specific outcomes with custom datasets.
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Prompt engineering expertise with GPT-4, GPT-3, Llama 2, and Gemini Pro.
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Strong Python skills with Pandas, NumPy, Scikit-learn; experience with PyTorch and Hugging Face.
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Background in Retrieval Augmented Generation and vector search (FAISS, ElasticSearch).
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Experience with NLP techniques, including embeddings (Word2Vec, GloVe, FastText, Universal Sentence Encoder), topic modeling (LSA), and deep learning for NLP.
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Knowledge of ML models such as SVM, Logistic Regression, Random Forest, Naive Bayes, and Neural Networks.
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Experience deploying models and apps to Azure ML and platforms like Streamlit, Hugging Face Spaces, or Heroku.
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API development experience with REST, FastAPI, or Flask for serving models.
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Familiarity with discourse-level NLP concepts and tools is a plus (DRT/DRS, Boxer, Neural DRS, JAMR).
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Cloud familiarity with AWS, Azure, or GCP; hands-on Azure ML preferred.
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Experience working within Agile methodologies with strong problem-solving and communication skills. Preferred Skills:
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Experience with SQL and related data tools.
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Familiarity with Horizon toolset and change management practices.
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Knowledge of agentic AI frameworks and orchestration.
Benefits & conditions
- Competitive compensation and benefits
- Opportunities for growth with global clients
- A supportive, inclusive culture that values innovation and people
- Exposure to cutting-edge technologies and projects About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status.