Python - AI Engineer

Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com.

Job Title: AI Engineer

Position: Senior Software Engineer

Experience: 7-12 Years

Category: Software Development/ Engineering

Shift: Hybrid - (1PM to 10 PM Shift)

Main location: Hyderabad, Bangalore

Position ID:J0826-0281

Employment Type: Full Time

Position Description: We are looking for a Lead AI Developer to join our team. This position involves design, develop, and lead enterprise-grade Generative AI solutions. This role requires deep hands-on expertise in Python, Large Language Models (LLMs), prompt engineering, embeddings, vector databases, and agent-based architectures

Your future duties and responsibilities

• Lead the design and development of scalable Generative AI solutions using LLMs
• Define and implement architectures for RAG, agentic, multi-agent, and multimodal systems
• Review and guide solution designs to ensure alignment with AI CoE standards and enterprise architecture
• Mentor and guide developers on GenAI patterns, tools, and best practices
• Develop end-to-end AI solutions using Python
• Design, test, and optimize prompt engineering strategies
• Build and manage embeddings, vector search, and semantic retrieval pipelines
• Develop applications using LangChain and monitor, evaluate, and debug workflows using LangSmith
• Integrate LLMs with enterprise systems, APIs, and structured/unstructured data sources
• Implement agent-based and multi-agent workflows for task orchestration and automation
• Work with multimodal models involving text, documents, and images
• Work closely with the AI CoE to align on AI frameworks, reusable components, and architectural standards
• Contribute to enterprise GenAI accelerators, reference architectures, and best practices
• Support governance, security, responsible AI, and compliance requirements
• Share learnings, patterns, and improvements across teams to drive consistency and adoption
• Apply deep understanding of LLM capabilities, limitations, and optimization techniques
• Implement techniques such as RAG, tool/function calling, memory, and agents
• Evaluate and recommend appropriate models (OpenAI, Azure OpenAI, open-source models)
• Ensure performance, scalability, cost optimization, and reliability of AI solutions

Required Qualifications To Be Successful In This Role Must-Have Skills:

• Strong programming experience in Python and API development using FastAPI or similar frameworks.
• Hands-on experience with OpenAI, Azure OpenAI, Anthropic Claude, and Google Gemini.
• Build AI applications using LangChain, LangGraph, OpenAI Agents SDK, and Semantic Kernel.
• Design and implement Agentic AI solutions, including multi-agent workflows, tool orchestration, memory management, and human-in-the-loop capabilities.
• Develop RAG solutions using embeddings, chunking, vector search, reranking, and enterprise knowledge retrieval.
• Experience with Model Context Protocol (MCP), function calling, and enterprise tool integrations.
• Hands-on experience with Vector Databases such as Pinecone, ChromaDB, pgvector, FAISS, or Azure AI Search.
• Strong knowledge of Prompt Engineering, Context Engineering, prompt optimization, and AI evaluation techniques.
• Experience with relational and NoSQL databases (PostgreSQL, MongoDB, Redis) and enterprise data integration.
• Strong analytical, problem-solving, debugging, communication, and stakeholder management skills.

Good-to-Have Skills:

• Deploy and manage AI applications on AWS, Docker, and OpenShift/Kubernetes using CI/CD pipelines.
• Build secure, scalable AI solutions with monitoring, guardrails, observability, and Responsible AI practices.
• Collaborate with product, architecture, and engineering teams to deliver AI-powered enterprise solutions

CGI is an equal op…