? Job Details at a Glance ? Location Bengaluru, Karnataka, India ? Company Retail Insights ? Experience 3-5 years ? Qualification Relevant degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science or a related discipline preferred ? Eligible Batch 2023, 2024, 2025, 2026 ? Job Type Full Time ? Salary ₹12–₹20 LPA ? Industry Technology ? Key Skills Agentic AI multi-agent systems LLMs RAG prompt engineering AI orchestration frameworks Python machine learning NLP data modelling Agentic AI/ML Specialists at Retail Insights — Full Details &

How to Apply Retail Insights is seeking Agentic AI/ML Specialists in Bengaluru, Karnataka, India , to innovate in AI-driven solutions. This role offers a unique chance to work with advanced technologies in a thriving tech hub, directly influencing the development of autonomous AI agents that enhance user experience and operational efficiency for clients. The demand for Agentic AI/ML Specialists is surging in India, particularly as industries increasingly adopt AI technologies.

This role is crucial for Retail Insights as it aligns with the company's strategic initiatives to leverage AI for retail analytics, ensuring that they remain at the forefront of technological advancements in the sector. Founded in 2015 , Retail Insights has rapidly grown to over 500 employees , specializing in AI-driven retail analytics and insights. The company's commitment to innovation and technology creates a vibrant work culture that encourages professional growth and collaboration, making it an attractive employer for aspiring tech professionals.

We invite 2023, 2024, 2025, 2026 graduates with a relevant degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science or a related discipline preferred , and 3-5 years experience to apply. The salary for this position ranges from ₹12–₹20 LPA , reflecting the value placed on skilled professionals in this field. In this role, you will gain hands-on experience with cutting-edge technologies such as Agentic AI , multi-agent systems , LLMs , RAG , prompt engineering , and AI orchestration frameworks

- This experience will set you apart in the job market and open doors to advanced career opportunities in AI and machine learning. ? Role Difficulty: Medium | Competition Level: High | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role &

Responsibilities The Agentic AI/ML Specialist at Retail Insights will design and implement innovative AI solutions, focusing on enhancing retail operations through advanced technologies like multi-agent systems and LLMs

- Design and implement autonomous AI agents using Python , focusing on multi-agent architectures to address complex retail challenges. Integrate LLMs with enterprise systems to enhance data processing capabilities and improve user interactions. Collaborate with cross-functional teams, including Data Science and Product Management , to align AI solutions with business objectives.

Monitor and analyze performance metrics such as accuracy and latency to ensure optimal functioning of AI systems. Define agent memory and planning logic, driving innovation in AI orchestration frameworks

- Document AI processes and communicate findings to stakeholders, ensuring transparency and alignment with project goals. Engage with clients to understand their needs and provide tailored AI solutions , enhancing customer satisfaction. This role fosters a culture of ownership, allowing specialists to directly impact the effectiveness of AI implementations in the retail sector.

Required Skills &

- Technical Competencies The ideal candidate will possess a robust skill profile, emphasizing technical expertise in Agentic AI , multi-agent systems , and prompt engineering to drive AI initiatives.

Technical Skills

Agentic AI — advanced — essential for developing autonomous systems that operate independently in retail environments. Multi-agent systems — advanced — critical for building scalable AI solutions that handle multiple tasks simultaneously. LLMs — intermediate — utilized for enhancing data processing capabilities and improving user interactions.

Prompt engineering — advanced — used daily to optimize LLM interactions, ensuring accurate and contextually relevant AI responses. APIs — intermediate — necessary for seamless integration of AI solutions with existing systems, requiring practical experience in data management. Databases — intermediate — essential for managing data effectively within AI applications.

Agile — intermediate — evaluated through participation in sprints and project management, ensuring timely delivery of AI projects. Scrum — intermediate — applied in managing project timelines and team collaboration for AI initiatives. When showcasing these technical skills in your resume or interview,



emphasize specific projects and outcomes that demonstrate your proficiency and impact.

Eligibility Criteria

This role is designed for candidates with a strong academic background and relevant experience in AI and machine learning. Candidates must hold a degree in Computer Science , AI , ML , or Data Science

- Eligible batches include 2023 to 2026 , allowing recent graduates to apply their academic knowledge. A minimum of 3 years of experience is required, ensuring hands-on exposure to AI/ML projects. Academic performance expectations include a minimum CGPA of 7.0 , reflecting robust analytical skills. A portfolio or GitHub showcasing relevant projects will significantly enhance a candidate's application. Documentation &

- Portfolio Requirements Ensure your resume is clear and concise, highlighting your educational background, relevant experience, and specific projects related to AI and ML.

Pro tip: Include links to your GitHub or project portfolio to demonstrate your practical skills and contributions to AI/ML initiatives.

Salary for Agentic AI/ML Specialists at Retail Insights ? Compensation ₹12–₹20 LPA The advertised compensation for the Agentic AI/ML Specialists role at Retail Insights is ₹12–₹20 LPA

- The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage.

Recommended

Courses &

- Preparation Tips for Agentic AI/ML Specialists Upskilling with the right resources significantly enhances your chances of selection for this specialized role in AI/ML.

Recommended

Courses &
- Resources Agentic AI — Essential for understanding multi-agent systems and their applications. Python — A fundamental programming language for AI/ML development. machine learning — Core concepts and techniques vital for AI specialists. APIs — Understanding APIs is crucial for integrating AI solutions. KodNest — Provides hands-on experience with real-world AI projects. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply.

Common

Mistakes to Avoid ❌ Failing to tailor the resume to highlight relevant AI/ML skills — fix by customizing for each application. ❌ Neglecting to showcase practical experience in AI projects — fix by including specific examples from internships or coursework. ❌ Overlooking the importance of soft skills in teamwork — fix by providing examples of collaboration in previous roles. ❌ Submitting a generic cover letter — fix by personalizing it to reflect genuine interest in Retail Insights and the role. ❌ Ignoring the application deadline — fix by setting reminders to ensure timely submission. ❌ Not preparing for technical interviews — fix by practicing common AI/ML interview questions and case studies.

Before You

Apply — Checklist ✅ Research Retail Insights and understand its core products and culture before applying. ✅ Update your resume to reflect relevant skills and experiences tailored to the . ✅ Prepare a portfolio showcasing your AI/ML projects and relevant coursework. ✅ Gather references who can speak to your technical skills and work ethic. ✅ Review the application requirements and ensure all documents are ready for submission. ✅ Practice common interview questions related to AI/ML and problem-solving. ✅ Set up a professional LinkedIn profile to connect with industry professionals. ✅ Follow up on your application status after submission to express continued interest.

Resume

Tailoring &
- ATS Keywords for Agentic AI/ML Specialists Optimizing your resume for ATS is crucial to ensure it passes initial screenings for this role. ATS Keywords to Include Agentic AI multi-agent systems LLMs RAG prompt engineering AI orchestration frameworks Python machine learning NLP data modelling APIs Agile Resume Tips for This Role Highlight specific projects related to Agentic AI or multi-agent systems to demonstrate relevant experience. Emphasize teamwork and collaboration skills, particularly in Agile environments, to align with the company's culture. Include a link to your portfolio or GitHub showcasing relevant AI/ML projects to provide tangible evidence of your skills. Optimize your resume for ATS by including keywords from the , ensuring it passes initial screenings. Avoid including unrelated work experience that does not demonstrate your capabilities in AI/ML. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers.

Pro tip: Avoid including generic skills that do not pertain to AI/ML, as they dilute your focus.





How to Apply for Agentic AI/ML Specialists at Retail Insights Apply Now — Retail Insights Visit the application portal and create an account to start your application. Upload your resume in PDF format, ensuring it is tailored to the . Fill out the application form accurately, providing all required information.

After submission, expect a confirmation email and keep an eye on your inbox for further communication. Use the application tracking feature on the portal to monitor your application status. Applications reviewed on rolling basis — early submission recommended.

Apply

Now — Retail Insights NexisGrow.com does not charge any fees for job applications.

Retail Insights Retail

Insights was founded in 2015 in Bengaluru, Karnataka

- Since its inception, the company has expanded its operations to serve clients in over 10 countries

- With a focus on retail analytics, Retail Insights has established itself as a key player in the technology sector, leveraging data to drive business success. The core offerings of Retail Insights include advanced AI-driven platforms that provide actionable insights tailored for retailers. Notable products such as Retail AI Suite and Insight Engine utilize cutting-edge technologies like multi-agent systems and large language models (LLMs) to enhance decision-making processes and operational efficiency.

Retail

Insights has cultivated a positive company culture, reflected in its Glassdoor rating of 4.5

- The organization is recognized for its employee satisfaction and creative programs, including mentorship initiatives that foster professional growth. These accolades highlight the company’s dedication to creating a supportive work environment. Recently, Retail Insights secured ₹100 crore in funding to bolster its AI capabilities and expand its product offerings.

This investment underscores the company’s commitment to innovation and growth, positioning it to further enhance its technological solutions in the retail sector. For freshers looking to launch their careers in technology, Retail Insights offers access to cutting-edge projects and mentorship from industry leaders. The company’s focus on AI orchestration frameworks and data modeling provides an ideal environment for skill development and professional advancement in the rapidly evolving tech landscape.

Company Details Industry Technology Location

Bengaluru, Karnataka, India Connect With Us Careers Apply Now Website ? theretailinsights.com Frequently Asked Questions Interview

- Role

- Salary
- Growth ? Who can apply for Agentic AI/ML Specialists at Retail Insights?

Eligibility

Tap to expand + Answer Candidates with Relevant degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science or a related discipline preferred and 3-5 years experience are eligible.

Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role?

Skills Tap to expand + Answer Key skills: Agentic AI, multi-agent systems, LLMs, RAG, prompt engineering. Strong fundamentals and practical project experience matter most. ? What is the salary for this position?

Salary Tap to expand + Answer Compensation: ₹12–₹20 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Retail Insights?

Interview

Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite?

Work Mode

Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role?

Growth

Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply?

Application

Tap to expand + Answer Apply via the official link in How to Apply section.

Highlight: Agentic AI, multi-agent systems, LLMs, RAG, prompt engineering. ? Is there a probation period?

Probation

Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Agentic AI/ML Specialists interview?

Preparation

Tap to expand + Answer (1) Core concepts of Agentic AI, multi-agent systems, LLMs, RAG, prompt engineering, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Retail Insights research, (5) Clear communication. ? What is the work culture like at Retail Insights?

Culture

Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. ? Explore More on NexisGrow More jobs in Bengaluru Browse all Tech jobs Latest Fresher jobs More jobs at Retail Insights Work From Home jobs Ready to Apply? Don't Miss This Chance!

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