at Emplay, you'll go beyond task execution. You'll
lead individual use cases, review Associate-level work, and 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.
Job Type: Full-time
Pay: ₹1,200,000.00 - ₹1,600,000.00 per year
Benefits:
Cell phone reimbursement
Health insurance
Provident Fund
Work from home
Application Question(s):
Current CTC ?(In Lakhs per Annum)
Expected CTC? (In Lakhs per Annum)
Notice Period ? (In days)
Linkedin profile Link?
Reason for job change?
Education:
Bachelor's (Required)
Work Location: Remote
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