AI Engineer

InfoCepts; Maharashtra; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

InfoCepts is seeking an AI/ML Engineer (Generative AI) to develop and deploy cutting-edge AI capabilities within enterprise data environments. The role emphasizes hands-on model development, prompt engineering, and integration support under mentorship from senior engineers.

You will collaborate across data science, software, and cloud teams to deliver scalable AI features while following governance and security standards.

Qualifications

• :

Responsibilities

• Develop and fine-tune machine learning and generative AI models using established frameworks and best practices.
• Assist in implementing LLM-based solutions under defined architectures and guidelines.
• Support model training, evaluation, and validation activities.
• Design and refine prompts for LLM-based applications to improve output relevance and accuracy.
• Assist in testing and evaluating generated responses against defined quality metrics.
• Work with APIs and foundation models as per solution requirements.
• Perform data preprocessing, transformation, and validation for structured and unstructured datasets.
• Ensure data quality and consistency during model development and testing phases.

Skills

Machine learning

Generative AI

Prompt engineering

LLM usage

Data preprocessing

CI/CD

MLOps

API integration

Troubleshooting

Documentation

Tools

Python

LLM APIs

Cloud services

Job description

The AI/ML Engineer (Generative AI) - G4 role focuses on developing, implementing, and supporting generative AI and machine learning solutions under the guidance of senior engineers and architects. The role is primarily an individual contributor position, responsible for building models, experimenting with GenAI techniques, supporting deployments, and contributing to AI solutions that address business requirements.

This role emphasizes hands-on model development, prompt engineering, integration support, and continuous learning, with exposure to LLMs, retrieval-augmented generation (RAG), and AI pipelines within enterprise environments. The engineer will work closely with data scientists, software engineers, and cloud teams to deliver reliable AI features while adhering to security, governance, and quality standards defined by the organization.

InfoCepts is a global leader of end-to-end data and analytics solutions with nearly 20 years’ experience enabling customers to derive value from a variety of data-driven capabilities. Unique among its peers, InfoCepts operates with the scale of a global consulting firm, yet the expertise of a niche partner.

At InfoCepts, you'll be challenged to think innovatively, while growing your own personal and professional skills designed with the future in mind. We have more than 1200 global professionals working on cutting edge technology solutions with a single mission - transforming our customers' journey with data-driven modernization.

• InfoCepts has been recognized as Gartner Peer Insights Customers' Choice for two consecutive years in 2020 and 2021 which recognizes our best-in-class services that help our customers approach any data analytics problem.
• We are certified by Great Place to Work, India in 2021 and recognizes our high-trust and high-performance work culture, and great employee experience in the industry.
• Our award-winning reusable solutions approach is well recognized in the D&A industry and lets our associates leverage our collective and proven consultative expertise, accelerate solution delivery through automation, enable faster time to value with reusable toolkits - all while delivering exceptional customer experience.

Our success has been unique, and we are looking for professionals who are enthusiastic and passionate about data & analytics, delivering differentiated experiences, and solving real world problems for our global customers. This position works with the competency and delivery team to execute on the assigned responsibilities.

• Develop and fine-tune machine learning and generative AI models using established frameworks and best practices.
• Assist in implementing LLM-based solutions under defined architectures and guidelines.
• Support model training, evaluation, and validation activities.

Prompt Engineering & LLM Usage

• Design and refine prompts for LLM-based applications to improve output relevance and accuracy.
• Assist in testing and evaluating generated responses against defined quality metrics.
• Work with APIs and foundation models as per solution requirements.
• Perform data preprocessing, transformation, and validation for structured and unstructured datasets.
• Ensure data quality and consistency during model development and testing phases.

Integration & Support

• Support integration of AI/ML models into applications and workflows in collaboration with software engineering teams.
• Assist in deploying models using existing CI/CD and MLOps pipelines.
• Participate in troubleshooting model or application issues.
• Stay updated with advancements in machine learning and generative AI.
• Contribute to knowledge sharing, documentation, and technical discussions within the team.