Idea Infotech Private Limited
AI Engineer
Skills
18 days ago
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Important information
Contract type:
Permanent, Temporary
Work mode:
Onsite
Published on:
6 October 2026
What they need
About the Role
We at Idea Infotech are seeking a skilled AI Engineer with hands-on experience in developing, optimizing, and deploying LLM-driven solutions in production environments. The ideal candidate will have strong expertise in prompt engineering, Retrieval-Augmented Generation (RAG), and AWS AI/ML services, particularly Bedrock, Lambda, and document-processing workflows. The role offers the opportunity to build scalable AI applications and contribute to next-generation automation and knowledge management systems.
Key Responsibilities
- Design, craft, and optimize prompts for generative AI models across diverse use cases, ensuring accuracy, robustness, and reliability in production settings.
- Develop and maintain RAG pipelines, integrating vector stores, embeddings, and retrieval strategies for high-precision LLM outputs.
- Implement and automate AI workflows using AWS services such as:
- Bedrock (Knowledge Bases, Agents, Blueprints, Model Evaluation)
- Lambda for serverless orchestration
- Textract for document extraction
- S3, API Gateway, CloudWatch, IAM, and related services
- Build and deploy end-to-end document-processing solutions using LLMs, OCR, and structured data extraction.
- Collaborate with cross-functional teams to translate business problems into scalable AI-driven solutions.
- Monitor and optimize LLM performance, response quality, latency, and cost.
- Ensure best practices in data handling, prompt versioning, observability, and secure deployment.
- Prepare technical documentation, demos, and communication for internal and client-facing stakeholders.
Required Skills & Qualifications
- Bachelor’s/Master’s degree in Computer Science, Engineering, Data Science, or related field.
- 3+ years of hands-on experience in prompt engineering or applied generative AI development.
- Proven expertise in designing prompts for LLMs and implementing prompt chaining, tool use, and agent-based workflows.
- Strong understanding of RAG pipelines, vector databases, embeddings, and knowledge bases.
- Experience working with AWS Bedrock, especially Knowledge Bases and Agents.
- Proficiency with AWS services such as Lambda, API Gateway, S3, CloudWatch, Textract, and AWS security/IAM.
- Experience building and maintaining document-processing pipelines combining OCR, extraction, and LLM interpretation.
- Ability to work on production-grade projects with clear evidence of deployments and user adoption.
- Solid programming skills in Python (preferred) or JavaScript/TypeScript.
- Strong communication, documentation, and client-interaction skills.
Job Type: Full-time
Pay: ₹700,000.00 - ₹800,000.00 per year
Ability to commute/relocate:
- Panchkula, Haryana: Reliably commute or planning to relocate before starting work (Required)
Application Question(s):
- Are you an immediate joiner? If not, please share your notice period and earliest date of availability.
- What is your current CTC ?
- What is your expected CTC?
- How many years of experience do you have as an AI Engineer?
Experience:
- AWS: 3 years (Required)
Work Location: In person
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