Senior Software Engineer - AI & Data EngineeringSaviance • Boston, MA, United States
Senior Software Engineer - AI & Data Engineering
Saviance • Boston, MA, United States
2 days ago
Job type
- Full-time
Job descriptionLearn domain-specific AI applications in automation, search, and decision support. Own AI-driven product features with ongoing model improvement and fine-tuning. Actively engage in agile ceremonies with an AI-first mindset. Volunteer for GenAI-related backlog items, such as : RAG model refinement Prompt engineering enhancements LLM evaluation and response tuning Participate in scrum (stand-ups, sprint planning, retrospectives) with focus on iterative AI model scaling. Promote self-organization and effective GenAI adoption across teams. Work closely with Technology, Product, AI / ML, and DevOps teams to align AI solutions with business outcomes. Partner with AI engineers, data scientists, and cloud architects to optimize LLM-based solutions. Ensure compliance with AI governance, privacy, HIPAA, GDPR, SOC2, and ethical AI standards . Train and mentor developers on GenAI integration, API usage, embeddings, and vector search. Guide team members in prompt engineering, RAG optimizations, and API latency improvements . Encourage use of AI-powered developer workflows (Copilot, AI-driven testing, code generation). 5-10 years in engineering roles with exposure to AI / ML. Bachelor's degree (or equivalent) in Computer Science, Engineering, or related field. Strong background in software engineering with AI / GenAI model integration . Proficiency in Python (preferred for AI work). Familiarity with Unix / Linux, Big Data, SQL, NoSQL, and AI pipelines. Hands-on experience with OpenAI GPT, Hugging Face Transformers, LangChain, LlamaIndex . Exposure to RAG models, embeddings, similarity search, and vector databases (FAISS, Pinecone, ChromaDB) . Experience deploying AI solutions on AWS or Azure OpenAI . Strong knowledge of AI evaluation metrics (BLEU, ROUGE, BERT Score, cosine similarity). Agile environment experience preferred. Strong ability to design and implement AI-powered solutions that enhance software functionality. Analytical problem-solver skilled in debugging and optimizing AI-generated responses. Collaborative mindset to work across engineering, DevOps, and AI / ML functions. Deep knowledge of AI-driven feature development, prompt engineering, and embedding optimizations . Capable of evaluating AI outputs for bias, accuracy, and compliance . Curious, eager to explore new AI models, frameworks, and best practices for scalable GenAI deployment.
Senior Software Engineer - AI & Data Engineering
Location : Boston, MA (Onsite every Thursday)
About BigRio
BigRio is a Boston-based technology consulting firm specializing in AI / ML, data engineering, custom software development, and digital transformation, with a strong focus on the healthcare and life sciences domains. We partner with leading organizations to deliver cutting-edge, secure, and scalable solutions that drive innovation, improve efficiency, and create measurable business impact. Our team brings deep expertise in emerging technologies such as Generative AI, cloud platforms, and data-driven automation, helping clients transform their operations while ensuring compliance with industry regulations.
Role Overview
We are seeking a highly skilled Senior Software Engineer with strong expertise in AI and Data Engineering. This position emphasizes hands-on technical execution, contributions to team success, cross-functional collaboration, and mentorship, with a strong focus on Generative AI, LLM integrations, and AI-enhanced workflows.
Responsibilities
50% - Technical Execution
- Contribute to clear and precise technical design specifications, focusing on GenAI system integration and AI-driven workflows.
- Deliver high-quality AI-powered components and services while ensuring security, performance, scalability, and automation best practices.
- Estimate development tasks in story points, factoring in LLM inference latency and API rate limits.
- Adhere to coding conventions, architectures, and best practices for GenAI applications, prompt engineering, and RAG models.
- Write, debug, and deploy production-ready code, ensuring quick fixes for GenAI APIs, embeddings, and microservices.
- Integrate and optimize tools / frameworks such as OpenAI, Azure OpenAI, Hugging Face, LangChain, and LlamaIndex .
- Utilize vector databases ( Pinecone, FAISS, ChromaDB ) for similarity search and retrieval pipelines.
- Meet sprint "Definition of Done (DOD)" including :
- Unit and functional testing
- LLM benchmarking (BLEU, ROUGE, cosine similarity)
- Model validation & API optimization (temperature, top-k, tokens)
- Code reviews, bug fixes, and documentation
- Responsible AI & governance compliance
30% - Team Contributions
10% - Cross-Functional Collaboration
10% - Mentorship & Knowledge Sharing
Education, Experience & Skills
Behaviors & Abilities
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