Associate – Agentic AI Automation Engineer

Emplay; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

Emplay Analytics Inc is seeking an Associate – Agentic AI Automation Engineer for a remote, full-time role. The candidate will lead client-facing AI automation use cases, translate business needs into scalable AI copilots, and mentor junior team members.

Proficiency in SQL and Python, plus experience with LLMs, RAG, and multi-agent orchestration, is required. You will own delivery, oversee quality, and collaborate on problem solving, while exploring new tools and frameworks to enhance AI

Qualifications

• 2–4 years of experience in Business Analyst, Solution Consultant, Product Analyst, or AI Automation Engineer roles in SaaS or enterprise software.
• Demonstrated ability to translate business needs into functional workflows and technical specs.
• Proficiency in SQL for data validation and extraction.
• Working knowledge of Python (pandas, numpy) for analysis, scripting, and debugging.
• Strong understanding of BI reporting – trends, anomalies, actionable insights.
• Familiarity with LLMs, prompt design, RAG architectures, and multi-agent orchestration.
• Exposure to solution architecture diagrams and systems integration flows.
• Strong communication skills; comfortable leading client discussions at use case level.

Responsibilities

• Own delivery of small-to-medium AI automation use cases end-to-end.
• Review outputs for accuracy, completeness, and business alignment; provide feedback.
• Translate requirements into agent workflows, prompts, and data pipelines; support debugging.
• Collaborate on multi-turn conversation design, fallback logic, and prompt optimization.
• Maintain sprint hygiene, track progress, and ensure timely delivery of use cases.
• Act as the point of contact for use case-level discussions, requirements, and testing feedback loops.
• Research new AI tools and frameworks and share adoption opportunities.
• Mentor Associates and Interns in execution and best practices.
• Participate in interviews, onboarding, and training for new team members.

Skills

Use case leadership

Quality control

Solution design

Prompt engineering

Client engagement

Mentorship

Hiring & training

Ownership

Team leadership

Python

SQL

BI reporting

Education

Bachelor’s degree in CS/IS/Engineering

MBA/M.Tech/M.Sc. encouraged

AI/ML, Python, SQL, or prompt engineering

Tools

LangChain

LangGraph

vector databases (pgvector, Pinecone, Weaviate)

Python (pandas, numpy)

SQL

Job description

Associate – Agentic AI Automation Engineer

Job Title: Associate – Agentic AI Automation Engineer

Experience: 2–4 Years

Job Type: Full-time Company – Emplay Analytics Inc

Job Location: Remote

Salary Range (CTC): As per company standards

About the Role :

As an Associate at Emplay, you’ll go beyond task execution. You’ll lead individual use cases, directly engage with clients to ensure successful delivery of agentic AI solutions. Your role combines technical problem-solving, workflow design, and hands‑on AI automation with mentoring and guiding junior team members.

You’ll be responsible for transforming business requirements into scalable AI copilots powered by LLMs, RAG pipelines, and agent orchestration frameworks. You’ll also play a key role in quality control, backlog management, and client‑facing delivery.

This position is ideal for those who have mastered the fundamentals of AI solutioning and now want to step up into ownership, leadership, and deeper technical specialization.

Educational Qualifications :

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
• Postgraduates (MBA, M.Tech, M.Sc.) with relevant experience in technology, analytics, or AI are encouraged to apply.
• Certifications or coursework in AI/ML, Python, SQL, or prompt engineering strongly preferred.

Key Responsibilities :

• Use Case Leadership: Own delivery of small-to-medium AI automation use cases end-to-end.
• Quality Control & Review: Review Associates’ outputs for accuracy, completeness,and business alignment. Provide constructive feedback.
• Solution Design & Debugging: Help translate requirements into agent workflows, prompts, and data pipelines. Support debugging and close technical gaps.
• Prompt Engineering & Flow Building: Collaborate on multi-turn conversation design, fallback logic, and prompt optimization.
• Backlog & Timeline Management: Maintain sprint hygiene, track progress, and ensure timely delivery of assigned use cases.
• Client Engagement: Act as the point of contact for use case-level discussions, requirement clarification, and testing feedback loops.
• Exploring New Tech: Research new AI tools, libraries, or frameworks (e.g., LangChain, LangGraph, vector DBs) and share adoption opportunities.
• Mentorship: Guide Associates and Interns in execution, accountability, and best practices.
• Hiring & Training: Participate in interviews, onboarding, and training programs for new team members.

Required Skills & Qualifications :

• 2–4 years of experience in Business Analyst, Solution Consultant, Product Analyst, or AI Automation Engineer roles in SaaS or enterprise software.
• Demonstrated ability to translate business needs into functional workflows and technical specs.
• Proficiency in SQL for data validation and extraction.
• Working knowledge of Python (pandas, numpy) for analysis, scripting, and debugging.
• Strong understanding of BI reporting – ability to interpret trends, anomalies, and actionable insights.
• Familiarity with LLMs, prompt design, RAG architectures, and multi-agent orchestration.
• Exposure to solution architecture diagrams and systems integration flows.
• Strong communication skills; comfortable leading client discussions at use case level.

Preferred Qualifications :

• Hands‑on exposure to LangChain, LangGraph, or vector databases (pgvector, Pinecone, Weaviate).
• Prior experience in consulting, enterprise delivery, or cross‑functional product roles.
• Experience mentoring junior team members or leading small workstreams.

What You’ll Gain :

• Ownership of end-to-end AI automation use cases with client visibility.
• Opportunity to mentor junior engineers and grow into Team Lead or Solution Architect roles.
• Deeper expertise in LLM-driven agentic workflows, multi‑agent design, and AI copilots.
• Exposure to cross‑vertical enterprise use cases spanning sales, procurement, and marketing.
• A chance to directly influence product direction by experimenting with new tools and frameworks.