Prompt Engineer

Agivant Technologies

8 years

0 Lacs

hyderabad telangana india

Posted:23 hours ago| Platform:

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Skills Required

engineering design ai model programming reliability creativity testing semantics learning benchmarking workflow automation analytics analyze data strategies evaluation analysis openai metrics troubleshooting ml retrieval server tuning reinforcement chatbot development sql nosql deployment docker

Work Mode

On-site

Job Type

Full Time

Job Description

Prompt Engineering Specialist

Key Responsibilities

Prompt Design & Optimization
: Create, refine, and maintain high-performing AI prompts for diverse use cases.
NLP Application
: Apply linguistic principles (syntax, semantics, pragmatics) to improve contextual accuracy and clarity.
Model Performance Tuning
: Use techniques such as chain-of-thought prompting, few-shot learning, and role prompting to enhance responses.
Testing & Evaluation
: Conduct A/B testing, version control, and performance benchmarking to optimize results.
Tool Integration
: Leverage tools such as PromptFlow, n8n, and workflow automation platforms.
Analytics & Insights
: Analyze model outputs, identify improvement areas, and implement corrective strategies.
Collaboration
: Partner with AI engineers, data scientists, and product managers to align prompt strategies with business goals.
Documentation
: Maintain comprehensive records of prompt versions, evaluation results, and methodologies.

Required Qualifications

Strong proficiency in
Python
for testing, data analysis, and automation.
Hands-on experience with
OpenAI GPT
or similar LLM platforms.
Expertise in prompt engineering techniques (few-shot, chain-of-thought, role-based).
Familiarity with
A/B testing, evaluation metrics, and prompt versioning
.
Knowledge of workflow automation tools (PromptFlow, n8n).
Strong analytical and troubleshooting skills.

Requirements

Preferred Qualifications

6–8 years in AI/ML, including 2+ years in Generative/Agentic AI.
Experience with frameworks such as
LangChain, LangGraph, AutoGen, CrewAI, Google ADK
.
Exposure to
RAG (Retrieval-Augmented Generation)
pipelines and vector databases (Pinecone, Weaviate, Milvus).
Experience with
MCP server implementation and agent-to-agent communication
.
Hands-on with fine-tuning, reinforcement learning, and chatbot development (Teams, Slack).
Proficiency with
SQL/NoSQL databases
and cloud-native deployment (Docker, Kubernetes).

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