Generative AI Engineer

Headway Tek Inc; India; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

Headway Tek Inc is seeking a highly skilled AI/ML Engineer in India to design, develop, and deploy solutions with Generative AI and Large Language Models. The role requires experience in creating data pipelines, optimizing LLMs, and contributing to the AI lifecycle from prototyping to production. The ideal candidate will have practical experience with data engineering tools and frameworks, and will work closely with cross-functional teams to deliver scalable AI solutions. This position offers a dynamic environment focused on innovation and collaboration.

Qualifications

• Hands-on experience with Large Language Models (e.g., GPT, LLaMA, Mistral).
• Practical experience in designing and managing data pipelines and ETL/ELT workflows.
• Demonstrated expertise with advanced Generative AI frameworks.

Responsibilities

• Apply advanced Generative AI techniques to build AI workflows.
• Design scalable data pipelines for AI/ML model development.
• Collaborate with product managers and engineers for AI solutions.

Skills

LLM Proficiency

Data Engineering Skills

Generative AI Frameworks

Tools

Apache Spark

Databricks

Apache Airflow

Azure Data Factory

Job description

We are seeking a highly skilled and innovative AI/ML Engineer to join our team. This role focuses on designing, developing, and deploying cutting‑edge solutions using Generative AI (GenAI), Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), Azure OpenAI Service, and modern Data Engineering practices.

Primary Responsibilities

• Apply advanced Generative AI techniques to build AI workflows
• Design and implement scalable data pipelines and data transformation workflows to support AI/ML model development and deployment
• Participate actively in the full AI lifecycle: contributing to brainstorming and conceptualization, rapid prototyping, experimentation, and writing high‑quality, robust production code
• Develop, fine‑tune, and optimize Large Language Models (LLMs) for domain‑specific use cases, including prompt engineering, few‑shot learning, and model evaluation
• Collaborate closely with product managers, designers, and other engineers to understand requirements, refine technical approaches, and deliver scalable, impactful AI solutions
• Stay current with the latest advancements in AI/ML, LLMs, and Data Engineering, evaluate new technologies, and propose innovative ways to tackle healthcare challenges
• Troubleshoot complex technical issues, identify root causes, and implement effective solutions in both development and production environments

Required Qualifications

• LLM Proficiency: Hands‑on experience working with Large Language Models (e.g., GPT, LLaMA, Mistral), including prompt engineering, fine‑tuning, and building RAG pipelines for enterprise‑scale applications
• Data Engineering Skills: Practical experience in designing and managing data pipelines, ETL/ELT workflows, and working with large‑scale structured and unstructured datasets using tools such as Apache Spark, Databricks, Apache Airflow, or Azure Data Factory
• Generative AI Frameworks: Demonstrated expertise in working with advanced Generative AI frameworks, LLMs, and RAG pipelines