

Grid Dynamics
https://grisdynamics.comAbout
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Jobs at Grid Dynamics
Job Description:
Experience: 7 -15 Years
Job Description :
Key responsibilities
As an GEN AI Expert [Min 4 + years of relevant exp on NLP, CV and LLMs], you will be responsible for designing, building, and fine-tuning NLP models and large language model (LLM) agents to solve business challenges. You will play a key role in creating intuitive and efficient model designs that enhance user experiences and business processes. The position demands strong design skills, hands-on coding expertise, advanced proficiency in Python development, specialized knowledge in LLM agent design and development, and exceptional debugging capabilities.
- Model & Agent Design: Conceptualize and design robust NLP solutions and LLM agents tailored to specific business needs, with a focus on user experience, interactivity, latency, failover and functionality.
- Hands-on Coding: Write,test, and maintain clean, efficient, and scalable code for NLP models and AI agents, with a strong emphasis on Python programming.
- Build high quality multi-modal & multi-agents applications/frameworks
- Knowledge on input/output token utilization, prioritization and consumption w.r.t AI agents
- Performance Monitoring: Monitor, optimize LLM agents, implementing model explainability, handling model drift, and ensuring robustness.
- Research Implementation:Ability to read, comprehend, and implement AI Agent research papers into practical solutions. Stay abreast of the latest academic and industry research to apply cutting-edge methodologies and techniques.
- Debugging & Issue Resolution: Proactively identify, diagnose, and resolve issues related to AI agents, including model inaccuracies, performance bottlenecks, and system integration problems. Utilize debugging tools and techniques to troubleshoot complex problems in model behavior, data inconsistencies, and deployment errors.
- Innovation and Research:Stay updated with the latest advancements in AI agents technologies,experimenting with new techniques and tools to enhance agent capabilities and performance.
- Continuous Learning: Adaptability to unlearn outdated practices, patterns, technologies and quickly learn and implement new technologies & papers as the ML world evolves. Maintain a proactive approach to staying current with emerging trends and technologies in Agent based solutions (Text & Multi Modal).
- Clear understanding of tool usage and structured outputs in agents
- Clear understanding of speculative decoding and AST-Code RAG
- Clear understanding of Streaming and Sync/Async processing
- Clear understanding of embedding models and their limitations
Tech stack required:
Programming languages: Python
Public Cloud: Azure
Frameworks: Vector Databases such as Milvus, Qdrant/ ChromaDB, or usage of CosmosDB or MongoDB as Vector stores. Knowledge of AI Orchestration, AI evaluation and Observability Tools. Knowledge of Guardrails strategy for LLM. Knowledge on Arize or any other ML/LLM observability tool.
Experience: Experience in building functional platforms using ML, CV, LLM platforms. Experience in evaluating and monitoring AI platforms in production.
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About the company
At Zobaze, we're not just developing apps; we're crafting the future of SMEs worldwide. Our quest to become the premier business utility app drives us to deliver revolutionary solutions like Zobaze POS and Restokeep. These tools don't just manage business—they propel it, enabling owners to monitor everything from sales to staff performance with unparalleled ease and efficiency.
With a remarkable footprint spanning 192 countries and over 2.5+ million downloads, our apps have already generated 140+ million receipts, evidencing our substantial global impact.
As a 100% bootstrapped company, our journey from inception to cash-positive operations exemplifies our dedication and resilience. We stand as a beacon of innovation and sustainability in the SME sector.
🤑 Funding
We are proud to be cash flow positive and have not yet tapped into VC funding, setting us apart from 99% of startups. This financial stability allows us to invest in our team's growth through a robust ESOP pool.
Securing funding will further accelerate our growth. Joining our team now offers a unique opportunity to create significant value, especially before our fundraising efforts take off.
⚠️ Before you apply
If you're looking for a standard 9-5 job, we are not a match. However, if you seek an exceptional learning curve, exposure to multiple verticals, and the opportunity to help establish processes that will propel our growth, we encourage you to apply. Our journey is dynamic, requiring flexibility and adaptability to changing needs.
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We are Proximity - a global team of coders, designers, product managers, geeks and experts. We solve hard, long-term engineering problems and build cutting edge tech products.
About us
Born in 2019, Proximity Works is a global, fully distributed tech firm headquartered in San Francisco - with hubs across Mumbai, Dubai, Toronto, Stockholm, and Bengaluru. We’re in the business of solving high-stakes engineering challenges with AI-powered solutions tailored for industries like sports, media & entertainment, fintech, and enterprise platforms. From real-time game analytics and ticketing workflows to creative content generation, we help build software that serves millions every day.
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At the helm is Hardik Jagda, CEO - a technologist with a startup DNA who brings clarity to complexity and a passion for building delightful experiences.
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- Trusted by some of the world’s biggest players - from major media & entertainment giants to one of the world’s largest cricket websites and the second-largest stock exchange in the world.
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- People-first culture: Community events, “Proxonaut battles,” monthly off-sites, and a liberal referral policy keep us connected even when we’re apart.
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