AI Engineer - Agentic Systems

Design and Build

You will design and build agentic AI pipelines using Python and LLM frameworks (LangChain, LangGraph, or similar).

Responsibilities

• Develop multi-step agents capable of reasoning, planning, and executing complex workflows autonomously.
• Integrate frontier AI models — Claude (Anthropic) and GPT-4o — for code generation, summarization, and task automation.
• Build RAG pipelines and apply prompt optimization techniques to improve agent performance.
• Collaborate with product and platform teams to translate business requirements into agentic AI solutions.
• Monitor deployed agents in production — tracking token usage, latency, failure modes, and hallucination rates.
• Document architecture decisions, agent design patterns, and operational runbooks.

Requirements

• 3+ years of Python development, including async patterns and API integration.
• Hands-on experience building AI agents with LangChain, LangGraph, or equivalent frameworks.
• Familiarity with agent architectures such as ReAct or Plan-and-Execute.
• Proficiency with Claude (Anthropic) and OpenAI APIs, including tool use and function calling.
• Experience building RAG pipelines with vector databases.
• Strong prompt engineering skills (chain-of-thought, few-shot, structured outputs).
• Basic cloud deployment on AWS, GCP, or Azure, and familiarity with Docker.

Qualifications

• Good to have: Fine-tuning methodologies (LoRA, RLHF, DPO, SFT), Kubernetes and CI/CD pipelines, Agent evaluation frameworks (RAGAS, DeepEval), Observability tooling (LangSmith, Weights & Biases, Arize Phoenix), MCP (Model Context Protocol) integrations, OCR / Document Intelligence services, GitHub Copilot experience, Enterprise security for LLM deployments (PII masking, audit logging), Microsoft Copilot Studio or Azure AI Foundry, Multimodal or voice agent experience.

Skills

• Python development
• LLM frameworks (LangChain, LangGraph)
• Frontier AI platforms (Claude, GPT-4o)
• RAG pipelines
• Prompt engineering
• Cloud deployment (AWS, GCP, Azure)
• CI/CD pipelines
• Agent evaluation frameworks
• Observability tools
• Model Context Protocol integrations
• OCR / Document Intelligence services
• GitHub Copilot experience
• Enterprise security for LLM deployments
• Microsoft Copilot Studio or Azure AI Foundry
• Multimodal or voice agent experience

Benefits

• Annual salary between $120,500K – $141,500 K depending on experience and other qualifications of the successful candidate.
• Eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
• Medical/Dental/Vision/Life Insurance
• Payroll deductions for retirement savings through the 401(k) plan
• Long-term/Short-term Disability Insurance
• Paid holidays plus Paid Time Off
• Employee Stock Purchase Plan