Usage of Conventional AI
Virtusa utilizes Artificial Intelligence (AI) technology for the purpose of conducting candidate pre-employment assessments. This AI may include both text-based and voice-based functionalities. The AI technology will have access to the data that you upload or provide during your interaction with the AI bot and will use such data solely for the purpose of performing assessment in accordance with Virtusa policies and practices. The AI is not used to substantially assist or replace discretionary employment decisions. Read our full employee privacy policy here.
Job description
Job Title Senior Developer Python AI LLM and API Development
Experience 5 to 8 Years
Employment Type Contract
Role Overview
We are hiring a hands on Senior Developer to build production grade AI applications using Large Language Models and Retrieval Augmented Generation. The role involves designing scalable backend systems developing APIs and implementing AI assistants knowledge search and automation solutions.
Key Responsibilities
Develop scalable backend services using Python FastAPI and C sharp Net APIs.
Design and implement RAG pipelines including ingestion embeddings vector search and response generation.
Deploy and manage local LLMs using Ollama or similar tools.
Configure and tune LLM parameters such as temperature tokens and context handling.
Integrate embedding models and optimize semantic search.
Implement and manage vector databases such as Pinecone Weaviate Milvus Chroma and Qdrant.
Build document ingestion pipelines for structured and unstructured data.
Ensure performance security and scalability of applications.
Collaborate with product and business teams to convert requirements into AI solutions.
Required Skills
Strong Python development experience with clean coding practices.
REST API development including authentication documentation and integration.
Hands on experience with LangChain or similar LLM frameworks.
Experience with RAG architecture and vector databases.
Knowledge of embeddings retrieval and reranking techniques.
Experience with LLM hosting model selection and parameter tuning.
Experience
Six plus years of software development experience.
Two plus years building Python backend services or APIs.
One plus year working with LLM RAG or vector database systems.
Nice to Have
Experience with production RAG deployments.
Experience with agentic AI and tool calling workflows.
Docker or containerized deployments.
Prompt engineering and evaluation.
Monitoring and observability for AI applications.
Python development
REST API
LangChain or similar LLM frameworks
RAG architecture and vector databases
Qualification
Job Title Senior Developer Python AI LLM and API Development
Experience 5 to 8 Years
Employment Type Contract
Role Overview
We are hiring a hands on Senior Developer to build production grade AI applications using Large Language Models and Retrieval Augmented Generation. The role involves designing scalable backend systems developing APIs and implementing AI assistants knowledge search and automation solutions.
Key Responsibilities
Develop scalable backend services using Python FastAPI and C sharp Net APIs.
Design and implement RAG pipelines including ingestion embeddings vector search and response generation.
Deploy and manage local LLMs using Ollama or similar tools.
Configure and tune LLM parameters such as temperature tokens and context handling.
Integrate embedding models and optimize semantic search.
Implement and manage vector databases such as Pinecone Weaviate Milvus Chroma and Qdrant.
Build document ingestion pipelines for structured and unstructured data.
Ensure performance security and scalability of applications.
Collaborate with product and business teams to convert requirements into AI solutions.
Required Skills
Strong Python development experience with clean coding practices.
REST API development including authentication documentation and integration.
Hands on experience with LangChain or similar LLM frameworks.
Experience with RAG architecture and vector databases.
Knowledge of embeddings retrieval and reranking techniques.
Experience with LLM hosting model selection and parameter tuning.
Experience
Six plus years of software development experience.
Two plus years building Python backend services or APIs.
One plus year working with LLM RAG or vector database systems.
Nice to Have
Experience with production RAG deployments.
Experience with agentic AI and tool calling workflows.
Docker or containerized deployments.
Prompt engineering and evaluation.
Monitoring and observability for AI applications.
Python development
REST API
LangChain or similar LLM frameworks
RAG architecture and vector databases
Key job details
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 30,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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