Job Description:-
Role:- AI Prompt Engineer
Location:- Jersey City NJ / New York NY
Job Type:- Full-Time with TCS
Salary :- $100K to $120K Plus Client Benefits
Must Have Technical/Functional Skills:-
We are looking for experienced Prompt Engineers with strong hands-on expertise in Large Language Models (LLMs) to design optimize and operationalize high quality prompts for enterprise-grade GenAI solutions. The role demands deep understanding of model behavior prompt patterns and real world deployment in regulated environments.
- 4 7 years overall experience with 2 3 years hands-on Prompt Engineering / GenAI work
- Strong experience with LLMs (GPT 4 / GPT 4o / Gemini / Claude / LLaMA or equivalent)
- Hands-on knowledge of RAG frameworks embeddings vector databases and semantic search
- Experience with Azure OpenAI / OpenAI APIs / Google Vertex AI / Hugging Face
- Strong NLP fundamentals and ability to interpret LLM behavior
- Programming experience in Python (FastAPI / Flask exposure preferred)
- Experience using LangChain / LlamaIndex or similar orchestration frameworks
- Strong analytical skills to evaluate and improve model output quality
Roles & Responsibilities
Design test and optimize advanced prompts (zero-shot few-shot chain-of-thought tool calling RAG-based prompts) for LLM-driven applications
Analyze model outputs and continuously refine prompts to ensure accuracy consistency and business relevance
Collaborate with Data Scientists ML Engineers and Product teams to integrate prompts into end to end AI workflows
Support RAG architectures by crafting effective prompts leveraging vector search embeddings and enterprise knowledge sources
Implement guardrails validation strategies and hallucination mitigation techniques
Fine tune prompt strategies based on domain-specific use cases (knowledge extraction summarization classification Q&A reasoning tasks)
Document prompt patterns best practices and reusable templates for enterprise adoption
Support client demos POCs and pilot rollouts of GenAI solutions
Kind Regards
Yogesh Kumar
Sr. IT Recruiter
Work#:
Job Description:- Role:- AI Prompt Engineer Location:- Jersey City NJ / New York NY Job Type:- Full-Time with TCS Salary :- $100K to $120K Plus Client Benefits Must Have Technical/Functional Skills:- We are looking for experienced Prompt Engineers with strong hands-on expertise in ...
Job Description:-
Role:- AI Prompt Engineer
Location:- Jersey City NJ / New York NY
Job Type:- Full-Time with TCS
Salary :- $100K to $120K Plus Client Benefits
Must Have Technical/Functional Skills:-
We are looking for experienced Prompt Engineers with strong hands-on expertise in Large Language Models (LLMs) to design optimize and operationalize high quality prompts for enterprise-grade GenAI solutions. The role demands deep understanding of model behavior prompt patterns and real world deployment in regulated environments.
- 4 7 years overall experience with 2 3 years hands-on Prompt Engineering / GenAI work
- Strong experience with LLMs (GPT 4 / GPT 4o / Gemini / Claude / LLaMA or equivalent)
- Hands-on knowledge of RAG frameworks embeddings vector databases and semantic search
- Experience with Azure OpenAI / OpenAI APIs / Google Vertex AI / Hugging Face
- Strong NLP fundamentals and ability to interpret LLM behavior
- Programming experience in Python (FastAPI / Flask exposure preferred)
- Experience using LangChain / LlamaIndex or similar orchestration frameworks
- Strong analytical skills to evaluate and improve model output quality
Roles & Responsibilities
Design test and optimize advanced prompts (zero-shot few-shot chain-of-thought tool calling RAG-based prompts) for LLM-driven applications
Analyze model outputs and continuously refine prompts to ensure accuracy consistency and business relevance
Collaborate with Data Scientists ML Engineers and Product teams to integrate prompts into end to end AI workflows
Support RAG architectures by crafting effective prompts leveraging vector search embeddings and enterprise knowledge sources
Implement guardrails validation strategies and hallucination mitigation techniques
Fine tune prompt strategies based on domain-specific use cases (knowledge extraction summarization classification Q&A reasoning tasks)
Document prompt patterns best practices and reusable templates for enterprise adoption
Support client demos POCs and pilot rollouts of GenAI solutions
Kind Regards
Yogesh Kumar
Sr. IT Recruiter
Work#:
View more
View less