What are the responsibilities and job description for the Python Developer position at Deloitte?
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Python Developer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.
Work You'll Do/Responsibilities
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Our AI & Engineering - Industry Solutions teams works with the Customer group to bring a flexible capability and fluid capacity model to the delivery of small technology projects and enhancements.
Required Qualifications
Work You'll Do/Responsibilities
- Build and orchestrate LLM workflows in Python using LangChain/LangGraph, including tool/function calling, structured outputs, error handling, and performance/cost tuning.
- Design and operate RAG pipelines: data ingestion/chunking, embeddings vector search, retrieval/reranking, grounding/citation, and evaluation to reduce hallucinations.
- Implement multi-agent and memory systems: agent roles/handoffs, state management, short/long-term memory persistence, conversational checkpoints, and guardrails/observability in production.
- Documentation & Knowledge Sharing: Create and maintain comprehensive documentation for cloud architectures, configurations, and operational procedures. Mentor junior engineers and contribute to knowledge sharing within the team. Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Our AI & Engineering - Industry Solutions teams works with the Customer group to bring a flexible capability and fluid capacity model to the delivery of small technology projects and enhancements.
Required Qualifications
- 3 yrs Python (strong proficiency)
- 3 yrs LangChain & LangGraph
- 3 yrs RAG (Retrieval-Augmented Generation)
- Multi-agent systems
- Memory systems (long-term/short-term, persistence, conversational checkpoints). A strong commitment to Site Reliability Engineering (SRE) principles and practices, including operational ownership
- Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
- Limited immigration sponsorship may be available
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
- Public cloud provider certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer, Google Cloud Professional Cloud Architect, Google Cloud Professional DevOps Engineer).
- Experience with serverless computing (e.g., AWS Lambda, Google Cloud Functions).
- Familiarity with configuration management tools like Ansible.
- Experience with database services (relational and NoSQL) in the cloud.
- Knowledge of disaster recovery and business continuity strategies in a multi-cloud environment.
- Experience with GitOps principles and tools.
- Analytical/ Decision Making Responsibilities
- Analytical ability to manage multiple projects and prioritize tasks into manageable work products
- Can operate independently or with minimum supervision
- Excellent Written and Communication Skills
- Ability to deliver technical demonstrations