Prompt Engineer
About the Role
As a Prompt Engineer (LLM / Generative AI), you will make an impact by designing and delivering intelligent AI-powered solutions using large language models. You will be a valued member of the engineering team and collaborate with product managers, data scientists, and business stakeholders to build scalable, production-ready AI applications.
Please note, this role is not able to offer visa transfer or sponsorship now or in the future.
In This Role, You Will:
- Design, develop, and deploy LLM-powered applications using Python
- Integrate and manage OpenAI APIs (GPT models, embeddings, function calling, assistants, fine-tuning)
- Create, test, and optimize prompt engineering strategies for accuracy, reliability, and cost-efficiency
- Build pipelines for retrieval-augmented generation (RAG) using vector databases
- Implement LLM evaluation, monitoring, and observability techniques (prompt versioning, output scoring, hallucination detection)
- Optimize latency, token usage, and cost for production LLM workloads
- Develop APIs, backend services, and microservices to support AI solutions
- Collaborate with cross-functional teams to translate business requirements into AI-driven features
- Ensure solutions follow security, privacy, and responsible AI best practices
- Stay current with evolving LLM technologies and prompt engineering techniques
Work Model
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in Norfolk, Virginia, United States. Regardless of your working arrangement, we are here to support a healthy work-life balance through our wellbeing programs.
What You Need to Have to Be Considered:
- Strong proficiency in Python (data structures, APIs, async programming)
- Hands-on experience with OpenAI APIs or comparable LLM providers
- Practical experience with prompt engineering techniques (few-shot, chain-of-thought, system prompts, guardrails)
- Experience building production-ready applications using LLMs
- Familiarity with REST APIs, JSON, and backend frameworks (FastAPI, Flask, or Django)
- Solid understanding of NLP concepts and limitations of LLMs
- Experience with version control systems (Git)
Preferred Qualifications:
- Experience with frameworks such as LangChain or LlamaIndex
- Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate)
- Knowledge of SQL / NoSQL databases
- Experience with cloud platforms (AWS, GCP)
- Exposure to DevOps practices such as Docker and CI/CD pipelines
Salary and Other Compensation
Applications will be accepted until July 31, 2026.
The annual salary for this position is between $95,000 – $130,000, depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to applicable plans.
Benefits
Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical / Dental / Vision / Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term / Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer
The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
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私たちについて：
コグニザント（NASDAQ: CTSH）は、AI builderおよびテクノロジーサービスプロバイダとして、AI投資を企業価値へとつなげるフルスタックのAIソリューションを提供しています。業界、業務プロセス、エンジニアリングに関する深い専門性を強みに、各企業固有のコンテキストをテクノロジーシステムに組み込み、人の力を最大限に引き出すとともに、具体的な成果の創出と、急速に変化する世界におけるグローバル企業の競争力維持を支援します。詳しくは、当社ウェブサイト www.cognizant.com をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
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