Generative AI Engineer
Konstant Infosolutions
Generative AI Engineer role at Konstant Infosolutions in Jaipur, Rajasthan. The employer's own role page states Location: Jaipur and shows a posting date of 22 Oct 2026; it was listed as open when we checked on 1 Nov 2026.
About Konstant Infosolutions
Konstant Infosolutions is a long-running Jaipur IT services company - its careers page cites 23+ years in business, 2,500+ clients and a 150+ person team, and it is a certified Great Place to Work. The company now markets itself heavily around AI engineering work.
The role in plain terms
This is applied generative AI work: building GenAI features - chat, summarization, RAG-style retrieval over client data - into delivered products.
What the employer asks for
These duties and requirements are quoted or closely condensed from the employer's listing so the details are not distorted:
Duties:
- Design and build production LLM-powered applications and API integrations using OpenAI, Anthropic, Google, and open-source model APIs
- Implement RAG architectures, vector databases, and knowledge retrieval systems for enterprise AI applications
- Develop agentic AI workflows using LangChain, LlamaIndex, AutoGPT, and equivalent frameworks
- Fine-tune and evaluate foundation models for domain-specific enterprise use cases using LoRA/QLoRA and PEFT techniques
- Deploy and monitor generative AI systems in production with appropriate guardrails, evaluation frameworks, and observability
- Optimize LLM inference performance, cost, and output quality through quantization, pruning, and distillation
- Build prompt engineering and context engineering pipelines for deterministic, high-quality outputs
- Implement LLM observability: tracing, logging, dashboards to monitor prompts, responses, token usage, and failure cases
- Collaborate with product, data, and infrastructure teams to integrate AI capabilities into business workflows
- Stay current with emerging GenAI frameworks, multi-agent orchestration, MCP, and model routing tools
Skills and experience:
- Bachelor's or Master's degree in Computer Science, Software Engineering, AI/ML, or related technical discipline
- 3+ years of software engineering experience, including 1–2+ years of hands-on experience building and deploying GenAI/LLM applications in production
- Strong proficiency in Python and backend development (FastAPI, Flask, or Django)
- Hands-on experience building RAG pipelines, vector databases, and semantic search systems in production
- Deep understanding of transformer architectures, LLM fundamentals, and prompt engineering techniques
- Experience with fine-tuning foundation models using LoRA, QLoRA, or other PEFT methods
- Proficiency with GenAI frameworks: LangChain, LlamaIndex, or equivalent agent orchestration tools
- Knowledge of MLOps/LLMOps practices: model deployment, monitoring, evaluation frameworks, and CI/CD for AI
- Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes)
- Strong problem-solving skills and ability to translate business requirements into technical AI solutions
- Excellent communication skills to articulate technical decisions to both technical and non-technical stakeholders
- Experience with multi-agent systems and autonomous workflow orchestration
- Knowledge of model optimization techniques: quantization, distillation, pruning for inference efficiency
- Familiarity with MCP (Model Context Protocol) and emerging AI integration standards
Experience required: 3+ Years.
Who this role suits
This suits an engineer with 3+ years who knows the GenAI stack (LLM APIs, embeddings, vector stores, prompt design) and has shipped at least one real GenAI feature.
Practical notes
No salary is stated on the listing.
How to apply
Apply on the company's own role page: Generative AI Engineer at Konstant Infosolutions. Before applying, re-read the employer's own description in full, since eligibility details, deadlines and process steps can change at any time and the employer's page is always the final word. Tailor your resume to the specific requirements above rather than sending a generic one: mirror the skills and tools the listing names where you genuinely have them. Never pay a fee to apply or interview; a genuine hiring process does not charge candidates.
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This is our short summary of the employer's listing. The full description, eligibility and deadline are on the employer's page.