In Time Tec
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Jaipur · Hybrid · 1-3 Yrs · Oct 1
Computer Hardware Development · 501 to 1000 Employees · Meridian, US
In Time Tec provides progressive software development services, enabling its clients' to keep their brightest and most valuable talent focused on innovation. In Time Tec has a leadership team averaging 15 years in software/firmware R&D, and 20 years building onshore/offshore R&D teams. Every company has core and context work. As defined by author and speaker Geoffrey Moore, core work is your differentiator, your 'secret sauce'. Context work is non-core work that must get done. In Time Tec helps you focus on core work by taking on your context work. By using a blended model of onshore and offshore talent, we offer the following software development services: Design: Model-View-Controller architecture Cloud - enabled UI/UX Development: Web application development Mobile development Salesforce development DevOps Continuous Integration Qualification: Automated testing Performance testing Technical Documentation: Copy editing Content Development
Hiring: Engineering
What employees say
+ Resignation feels more rewarding than working.
− 1. Absolutely terrible work life balance I remember working 15+ hours a day during my "reviews" because apparently they hire for fun and harass employees once they step in the offi
More reviews on the company profile.
Interview experience · Junior Software Engineer
The interview process had two rounds: technical and managerial. The technical round mainly focused on OOPs, DSA, and DBMS, with emphasis on strong fundamentals and problem-solving. Candidates were also asked about their
Average difficulty · Jaipur, Rajasthan · 240 reports
More interview insightsJob description
Overview
In Time Tec is an award-winning IT & software company.
Responsibilities
- Design and implement agentic AI systems, including multi-agent workflows, orchestration logic, and tool-integrated agents
- Build Generative AI applications using LLMs for use cases such as conversational AI, content generation, and intelligent automation
- Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases and semantic search techniques
- Integrate and work with multiple LLMs and AI models, selecting and optimizing them based on performance, cost, and use case requirements
- Design and develop scalable backend systems and APIs to support AI applications
- Implement prompt engineering strategies, structured outputs, and guardrails to improve model reliability
- Evaluate, monitor, and optimise AI system performance, including accuracy, latency, and cost efficiency
- Collaborate with cross-functional teams to translate business requirements into AI-driven solutions
- Stay updated with advancements in Gen AI, agentic frameworks, and emerging AI tooling
- Contribute to system documentation, architecture discussions, and knowledge sharing across teams
- Strong programming skills in Python (and familiarity with backend frameworks)
- Hands-on experience with Generative AI and LLMs in real-world applications
- Experience with RAG architectures, embeddings, and document processing pipelines
- Familiarity with agentic frameworks (such as LangChain, LangGraph, CrewAI, or similar)
- Understanding of API design, system architecture, and scalable backend development
- Experience with vector databases (e.g., Qdrant, Weaviate, FAISS, or similar)
- Solid understanding of prompt engineering, model behaviour, and output control techniques
- Experience with multi-agent systems and workflow orchestration
- Exposure to knowledge graphs or hybrid retrieval systems
- Familiarity with cloud platforms and containerisation (Docker, Kubernetes)
- Experience in evaluation frameworks, monitoring tools, and model optimisation techniques
- Understanding of voice-based systems (STT/TTS) or multimodal AI applications
- Strong problem-solving ability with a focus on building scalable, production-ready systems
- Ability to work in fast-paced and ambiguous environments
- Ownership mindset with attention to quality, performance, and reliability
- Clear communication and ability to collaborate across teams
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Job application FAQ
Last updated 19 October 2026
- How do I apply for AI Engineer Generative AI & Agentic AI (Jaipur) at In Time Tec?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. In Time Tec may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this AI Engineer Generative AI & Agentic AI (Jaipur) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AI Engineer Generative AI & Agentic AI (Jaipur) remote or on-site in Jaipur, Rajasthan?
- This listing is marked hybrid with location Jaipur, Rajasthan. Confirm details on the job description before applying.
- What skills matter for this AI Engineer Generative AI & Agentic AI (Jaipur) role at In Time Tec?
- This is a mid-level AI Engineer Generative AI & Agentic AI (Jaipur) role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.