About this role
Accountabilities:
- Design and develop high-performance generative AI applications using commercial and open-source large language models, including models such as GPT-4, Claude, Llama 3, and Mistral.
- Develop, test, and systematically refine prompt templates, system instructions, and few-shot learning examples to improve model accuracy, consistency, relevance, and compliance.
- Prepare custom training datasets and implement parameter-efficient fine-tuning approaches such as PEFT and LoRA to adapt language models for domain-specific tasks and use cases.
- Integrate LLM services into scalable backend and microservices architectures using efficient API frameworks, asynchronous processing, message queues, and supporting infrastructure.
- Implement strategies such as semantic caching, token optimization, and model routing to improve production performance while managing inference costs and response latency.
- Work with embedding models, vector indexes, and retrieval-oriented architectures to support robust enterprise search and other knowledge-intensive AI applications.
- Establish systematic approaches for evaluating LLM outputs through automated evaluation suites, structured testing, and human-in-the-loop validation frameworks.
Requirements:
- 3–7 years of relevant professional experience in software engineering, artificial intelligence, machine learning, or related technical fields, with strong hands-on exposure to generative AI and LLM applications.
- Strong Python programming skills and extensive experience with LLM development frameworks such as LangChain, LlamaIndex, and/or Semantic Kernel.
- Deep understanding of transformer architectures, tokenization methods, quantization techniques, and the execution and integration of open-source language models.
- Practical experience building scalable REST APIs using technologies such as FastAPI or Flask and integrating AI services with message brokers, vector indexes, or other backend infrastructure.
- Experience with LLM application architecture, prompt engineering, model adaptation, and production deployment of AI-powered applications.
- Strong analytical and testing skills, with the ability to systematically evaluate model outputs using automated metrics, evaluation suites, and human validation approaches.
- Bachelor’s degree or equivalent technical education, combined with strong problem-solving skills and the ability to work independently in a fast-moving AI engineering environment.
Benefits:
- Annual compensation ranging from INR 2,400,000 to INR 3,800,000 CTC, depending on relevant experience, skills, and qualifications.
- Full-time, mid-senior-level opportunity focused on cutting-edge generative AI and large language model technologies.
- Remote work flexibility across India, with opportunities to work from Bangalore or Pune through hybrid or remote-flexible arrangements.
- Opportunity to work with leading commercial and open-source LLMs and modern AI development frameworks.
- Exposure to advanced areas including prompt engineering, fine-tuning, embeddings, model optimization, AI evaluation, and scalable LLM application architecture.
- Opportunity to contribute to enterprise-focused AI products involving search, summarization, content generation, and other high-impact use cases.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
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