Added 7 Nov 2026 · Engineering
Job description
Role Overview
We are seeking a highly motivated and technically skilled GenAI Automation Specialist to join our Automation & Asset Development & Deployment team. This role will focus on designing, developing, and optimizing generative AI solutions using Python and large language models (LLMs). You will be instrumental in building intelligent automation workflows, refining prompt strategies, and ensuring scalable, secure AI deployments.
Key Responsibilities
Design, test, and optimize prompts for LLMs to support use cases which benefit the infra & application managed services.
Build and maintain Python-based microservices and scripts for data processing, API integration, and model orchestration.
Collaborate with SMEs to convert business requirements into GenAI-powered workflows, including chunking logic, token optimization, and schema transformation.
Work with foundation models and APIs (e.g., OpenAI, Vertex AI, Claude Sonnet) to embed GenAI capabilities into enterprise platforms.
Ensure all AI solutions comply with internal data privacy, PII masking, and security standards.
Conduct A/B testing of prompts, evaluate model outputs, and iterate based on SME feedback.
Maintain clear documentation of prompt strategies, model behaviours, and solution architectures.
Required Skills
Strong proficiency in Python, including experience with REST APIs, data parsing, and automation scripting.
Deep understanding of LLMs, prompt engineering, and GenAI frameworks (e.g., LangChain, RAG pipelines).
Familiarity with data modelling, SQL, and RDBMS concepts.
Experience with agentic workflows, token optimization, and schema chunking.
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Pay, skills & work eligibility
Compensation
A clear compensation amount was not identified. Ask the employer for the range, currency, pay period and whether it covers base pay or total compensation.
Location, eligibility & working hours
- Listed work location
- Gurugram, India / Bengaluru, India / Kolkata, India / Pune, India
- Visa sponsorship
- Not stated clearly
- Relocation support
- Not stated clearly
- Working hours / time zone
- Not stated clearly
- Work authorization wording
- All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by
Remote does not automatically mean work from any country. A location match does not confirm work authorization, sponsorship or relocation eligibility.
Requirements at a glance
Named skills identified in the listing. A mention is not always a requirement; read the full description and employer conditions.
Location & work arrangement
Listed work locations
- Gurugram, India
- Bengaluru, India
- Kolkata, India
- Pune, India