Python Developer

1 week ago


Halifax, Canada NTT DATA North America Full time

OverviewAt NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees have been key factors in our company's growth and market presence. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here.Job Description: We are seeking a Python Developer with Agentic AI development knowledge to design, build, and deploy intelligent, autonomous AI agents that can reason, plan, take actions, and collaborate with humans and systems to achieve complex goals. This role focuses on developing agent-based architectures using Large Language Models (LLMs), tools, memory, and orchestration frameworks to solve real-world business problems.ResponsibilitiesDesign and implement autonomous and semi-autonomous AI agents capable of goal planning, decision-making, and task executionBuild multi-agent systems that collaborate, communicate, and coordinate actionsIntegrate LLMs (e.g., OpenAI, Anthropic, open-source models) with tools, APIs, databases, and enterprise systemsDevelop agent orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI, Semantic Kernel)Implement memory systems (short-term, long-term, vector-based retrieval) to support agent learning and context retentionOptimize prompts, workflows, and policies to ensure accuracy, reliability, and cost efficiencyImplement safeguards including human-in-the-loop, observability, logging, and fallback mechanismsEvaluate agent performance using benchmarks, simulations, and real-world metricsCollaborate with ML, DevOps, and Security teams to deploy AI agents in production environmentsStay current with advancements in agentic AI, LLM tooling, and AI safety best practicesRequired Technical Skills5+ years of expertise in building AI workflows using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel5+ years of experience in understanding of agent architectures (ReAct, Plan-and-Execute, Tool-Using Agents, Multi-Agent Systems)5+ years of experience in integrating APIs, databases, and external tools into AI workflows5+ years of experience with cloud platforms such as AWS, Google Cloud, or Azure, and tools like Docker and Kubernetes is highly valued5+ years of experience with vector databases (e.g., Pinecone, FAISS, Chroma, Weaviate)5+ years of solid understanding of software engineering best practices (version control, testing, CI/CD)Preferred / Nice-to-Have SkillsExperience with multi-agent coordination and negotiationKnowledge of reinforcement learning or planning algorithmsExperience deploying AI systems on cloud platforms (AWS, Azure, GCP)Familiarity with MLOps, monitoring, and observability toolsExperience with AI governance, security, and responsible AI frameworksBackground in NLP, ML, or data scienceAbout NTT DATA ServicesNTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients\' long-term success. Visit nttdata.com or LinkedIn to learn more.NTT DATA Services is an equal opportunity employer and considers all applicants without regard to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team. #J-18808-Ljbffr


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