Associate – Agentic AI Automation Engineer (Exp-2Yrs & abv)

Job Title: Associate – Agentic AI Automation Engineer

Experience: 2–4 Years

Job Type: Full-time, Company – Emplay Analytics Inc

Job Location: Remote / Work from Home

Salary Range (CTC): 12 LPA +

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.