Mantra Softech
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Ahmedabad · On-site · 3-6 Yrs · 21 hours ago
Electronics Manufacturing · 501 to 1000 Employees · Ahmedabad, India
Mantra Softech is a global hi-tech manufacturer of biometric product and solutions provider. We offer the wide range of products in biometric and RFID industry. The dream project of like-minded visionaries started in 2006 continues to push the envelope on biometric system capabilities. Customers rapidly growing requirement for the complex and sophisticated security system is the inspiration behind Mantra's Innovative products and solution.
What employees say
+ technology and product self learning freedom
− salary and increments are not as per market standard
More reviews on the company profile.
Interview experience · Research Associate Intern
1 take home assignment with interview questions completely aligned with the assignment. 3 days time in between to finish the assignment. Questions were easy to medium level touching foundations of ML.
Easy difficulty · Bengaluru · 17 reports
More interview insightsJob description
Overview
About Us – Mantra Softech
Responsibilities
- We're looking for a AI Research Engineer who thrives at the intersection of AI, embedded systems, and real-world impact. You will lead initiatives in LLMs, Edge AI, sensor fusion, ML Models and natural language interfaces to build AI-powered experiences across a new class of smart home devices.
- About the Role
- We are building the next wave of agentic AI systems that combine large language models, real-time streaming data, and edge-to-cloud intelligence. If you're passionate about GenAI applications, AI agents, and turning complex natural language prompts into production-grade actions and insights, this role will give you the opportunity to work across LLMOps, multimodal AI, and real-world deployments.
- This is not just a research role — we're looking for someone who has hands-on experience in delivering AI systems end-to-end, from proof-of-concept to production deployment.
- Lead the design and development of GenAI-driven AI agents that can interpret multimodal inputs (voice, vision, text, sensors) and perform context-aware actions.
- Drive initiatives in agentic AI frameworks, building pipelines where LLMs interact with tools, APIs, and real-world devices.
- Architect and implement LLMOps workflows: continuous training, fine-tuning, versioning, monitoring, and evaluation of large models.
- Build and deploy real-time AI applications across cloud and edge environments with measurable performance and reliability.
- Deliver LLM-based interfaces for natural language to SQL, command execution, and intelligent assistants.
- Optimize GenAI solutions for latency, accuracy, and cost-efficiency while scaling across embedded platforms and cloud infrastructure.
- Collaborate with product and research teams to take prototypes into production, ensuring robust deployments and maintainability.
- Integrate real-time streaming data (audio/sensor) into agentic workflows and analytics pipelines.
- Continuously evaluate advancements in LLMs, agent frameworks (LangChain, LlamaIndex, custom orchestrators), and apply them to real-world use cases.
- Ensure AI system reliability through safety, robustness, and explainability techniques.
Qualifications
- 3–5 years of proven experience in designing, deploying, and delivering AI/ML systems into production.
- Hands-on expertise in LLMs, GenAI pipelines, prompt engineering, and agentic AI.
- Strong track record of deploying real-world AI solutions with measurable outcomes.
- Proficiency in Python (and/or C/C++), PyTorch/TensorFlow, and AI/ML frameworks.
- Strong background in time-series analysis, predictive modeling, and sensor analytics.
- Deep knowledge of SQL and exposure to NoSQL databases (Redis, MongoDB).
- Proven ability to prototype quickly and deliver production-grade AI systems on tight timelines.
- Exposure to digital twins, telemetry, and real-time condition monitoring.
- Knowledge of AI safety, robustness, and explainability for LLM-based systems.
- Hands-on experience with cloud deployment (AWS/Azure/GCP) and edge-cloud orchestration.
- Familiarity with microservices, Docker, Kubernetes, and scalable backend architecture.
- Master's degree in AI/ML, Computer Science, or a related field from a reputed institute.
- 4–6 years of industry experience with hands-on GenAI and production deployments.
- Strong background in Computer Science
- Proficiency in Natural Language Processing (NLP)
- Software Development skills
- Excellent problem-solving and analytical skills
- Bachelor's or Master's degree in Computer Science, AI, or related field
- Excellent collaboration and communication skills
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Job application FAQ
Last updated 18 September 2026
- How do I apply for Artificial Intelligence Researcher at Mantra Softech?
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- Is Artificial Intelligence Researcher remote or on-site in Ahmedabad, Gujarat?
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- What skills matter for this Artificial Intelligence Researcher role at Mantra Softech?
- Key skills for this role include skills listed in the job description. Upload a resume to see which requirements you already meet and which are gaps.