Python GenAI Developer
Lead software engineer at Virtusa in Mississauga designing scalable, API-driven solutions with Generative AI: integrating LLMs (OpenAI, Claude, Cohere), building LangChain agents and prompt engineering, working with vector databases, and handling basic data engineering. Core stack is Python (Django/Flask/FastAPI) with PySpark or Java; requires 7+ years of experience.
- Compensation
- Not disclosed
- Location
- Mississauga, Canada
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 7+ years of experience in software engineering or data analytics roles
- Strong programming skills in Python (mandatory), plus PySpark or Java
- Hands-on experience with Python frameworks like Django, Flask, or FastAPI
- Proven experience building API-based scalable solutions
- Hands-on experience with LLM integration and prompt engineering
- Familiarity with modern AI frameworks and orchestration tools (e.g., LangChain)
- Experience integrating LLMs (OpenAI GPT, PaLM 2, Claude 2, Cohere, etc.) via API endpoints
Nice to have
- Experience with vector databases like Pinecone, Chroma, or FAISS
- Exposure to Gen AI platforms and advanced AI model experimentation
- Strong understanding of data engineering principles
- Excellent communication and project management skills
Full description
Job Requirements
We are seeking a highly skilled and experienced Lead Software Engineer to join our team. In this role, you will lead the design and development of scalable, API-driven solutions leveraging modern technology stacks and Generative AI capabilities. You will collaborate closely with cross-functional teams to deliver innovative solutions that meet client requirements, timelines, and budgets.
Key Responsibilities
- Design and implement scalable software solutions using modern technology stacks.
- In-depth knowledge and hands-on experience with Python frameworks like Django, Flask, FastAPI, or others depending on the specialization.
- Develop and integrate APIs for Gen AI orchestration and data analytics workflows.
- Integrate popular Large Language Models (LLMs) such as OpenAI GPT, PaLM 2, Dolly, Claude 2, Cohere, etc., via API endpoints.
- Apply prompt engineering techniques and implement LLM agents (e.g., LangChain).
- Work with vector databases like Pinecone, Chroma, or FAISS for advanced AI solutions.
- Conduct rapid experiments to evaluate new LLM versions and features.
- Collaborate with Gen AI leads and other team members to deliver high-quality solutions.
- Perform basic data engineering tasks to load structured and unstructured data from source systems to target data stores.
- Debug and troubleshoot software or design issues effectively.
Required Qualifications
- Minimum 7+ years of experience in software engineering or data analytics roles.
- Strong programming skills in Python (mandatory), PySpark or Java
- Proven experience in building API-based scalable solutions.
- Hands-on experience with LLM integration and prompt engineering.
- Familiarity with modern AI frameworks and orchestration tools.
Preferred Skills
- Exposure to Gen AI platforms and advanced AI model experimentation.
- Strong understanding of data engineering principles.
- Excellent communication and project management skills.
Work Experience
- 5-7Years