GYTWorkz Technologies Pvt Ltd
https://gytworkz.comAbout
We are a bunch of engineers, designers, thinkers – united by the desire to solve problems. Having come from varied backgrounds, our perspectives are varied and yet, have a common objective. Our diversity is what keeps us enthusiastic, united, and driven.
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Jobs at GYTWorkz Technologies Pvt Ltd
Design and develop Agentic AI systems using LLMs, tools, memory,
workflows, and MCP.
Build production-grade RAG pipelines, including ingestion, chunking,
embeddings, retrieval, reranking, and evaluation.
Implement context engineering strategies for improving LLM accuracy,
relevance, and reliability.
Develop and integrate MCP-based tools and services for AI agents.
Work with LLMs, SLMs, quantized models, and model optimization
techniques for efficient inference.
Develop scalable backend services and APIs for AI applications.
Design databases and data models supporting AI/agentic applications.
Implement AI observability covering latency, token usage, cost, failures,
quality, and agent/tool execution.
Apply AI governance and responsible AI practices, including security,
access control, data privacy, and auditability.
Optimize AI systems for latency, scalability, cost, and reliability.
Collaborate with engineering and product teams to take AI solutions from
POC to production.
Strong hands-on experience with GenAI, LLMs, and Agentic AI.
Experience building RAG applications.
Strong understanding of Context Engineering and prompt/context
optimization.
Role Overview
We are looking for a hands-on AI/ML Engineer to design, develop, and deploy
production-ready GenAI and Agentic AI applications. The role involves building
intelligent agents, RAG pipelines, AI APIs, backend services, and scalable AI
infrastructure with a strong focus on context engineering, observability,
governance, and model optimisation.
Key Responsibilities
Required Skills
Practical experience with MCP (Model Context Protocol).
Experience with frameworks such as LangChain, LangGraph,
LlamaIndex, or equivalent.
Knowledge of LLM/SLM deployment and quantization techniques.
Strong Python backend development experience.
Experience developing REST APIs using FastAPI/Flask or equivalent.
Strong understanding of SQL/NoSQL databases and database design.
Experience with vector databases such as Qdrant, Pinecone, Weaviate,
ChromaDB, or FAISS.
Understanding of AI observability, evaluation, monitoring, and
governance.
Experience with cloud platforms and production deployment is preferred.
Strong understanding of software engineering principles, Git, testing, and
CI/CD.
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Business is about solving problems for the customer. We solve technology problems for the business. Your big, ambitious plans require a strong technology backbone. Using a skilful combination of creativity, code, and commitment, we help solve the problems of scalability, dexterity, and agility for your business, allowing you to do what you do best - create continuous value for your customers.
We take our quality of delivery and security as the highest priority, which is backed by ISO/IEC 27001:2013 (ISMS) certification for international security, reliability, quality, data protection, and trust standards. We have helped few of our clients to architect and comply with their platform/application for SOC 2 standards.
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StepSecurity is dedicated to enhancing CI/CD security by providing solutions to prevent pipeline attacks. Founded by seasoned security professionals with experience at Microsoft, Uber, and Plaid, StepSecurity addresses the security gaps highlighted by major breaches like SolarWinds and Codecov.
Founders:
- Varun Sharma: CEO & Co-Founder, formerly at Microsoft.
- Ashish Kurmi: CTO & Co-Founder, with experience at Plaid, Uber, and Microsoft.
Advisors:
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Investors:
StepSecurity is backed by leading VCs and notable angel investors, including Anmol Malhotra (Coinbase), Ash Devata (GreyNoise), and David Cross (Rain Capital).
Funding raised: $3M - Seed Funding
For more detailed information, visit - https://www.stepsecurity.io/team
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