aimlroles

India: AI Engineer

Hpinc Open · verified Oct 22, 2026
Taleigao - Goa Full-time Mid-level AI Engineering

At a glance

Mid-level AI Engineering role at Hpinc. Taleigao - Goa · full-time.

Pay not stated AI Engineer salary

RoleAI Engineering
SeniorityMid-level
LocationTaleigao - Goa
EmploymentFull-time
PostedSep 7, 2026 · 6w ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Develop machine learning models for business problems, using Python and techniques such as classification, clustering and deep learning
  • Apply language-processing methods to pull insights from document text and classify or process its contents
  • Build RAG workflows and LLM agents that automate tasks and support decisions
  • Create front-end and back-end applications and APIs that bring AI capabilities to users
  • Prepare and analyze data, then share findings and project progress with stakeholders

What you bring

  • At least two years of professional Python and machine-learning work, including deep learning
  • A bachelor's degree or higher in computer science, AI/ML or a related discipline
  • Experience delivering full-stack applications that use AI/ML or generative AI
  • Hands-on work with RAG-based applications, LLM orchestration and vector databases

Who this fits

This role suits a mid-level engineer comfortable across machine learning, language processing and full-stack development. You'll work with cross-functional teams and stakeholders, while managing multiple projects and learning new technologies.

From the employer

At H&P, our people are our strength.

We are seeking a skilled and experienced AI Engineer with expertise in Python, Machine Learning, Deep Learning, and full-stack software development. The ideal candidate will have a strong background in machine learning and a deep understanding of Natural Language Processing and will be equally comfortable building the front-end and back-end of the applications that put those models to work including agentic and generative AI (GenAI) solutions such as Retrieval-Augmented Generation (RAG) systems to develop advanced solutions for intelligent document processing. The role involves leveraging advanced analytical techniques and modern software engineering practices to drive data-driven decision-making and deliver innovative, end-to-end solutions to our Internal and External Customers.

Responsibilities:

  • Design, develop, and implement advanced machine learning models and algorithms to solve complex business problems.
  • Leverage expertise in Python, Machine Learning to develop cutting-edge data-driven solutions.
  • Utilize NLP and NLU techniques to extract insights, classify, and process information from unstructured text data in documents.
  • Design, build, and deploy agentic AI and generative AI (GenAI) applications, including Retrieval-Augmented Generation (RAG) pipelines and LLM-powered agents, to automate workflows and enhance decision-making.
  • Build and maintain full-stack applications — front-end interfaces and back-end services/APIs — that deliver AI/ML and GenAI capabilities to end users.
  • Conduct data analysis, pre-processing, and modeling to extract valuable insights and drive data-driven decision-making.
  • Collaborate with cross-functional teams to understand business requirements and translate them into actionable AI/ML solutions.
  • Stay up to date with the latest advancements in AI/ML technologies, frameworks, and tools, and proactively learn and adopt new technologies to enhance our offerings.
  • Communicate effectively with stakeholders, presenting findings, recommendations, and project progress in a clear and concise manner.

Primary Skills:

  • Machine Learning (e.g., CNN, RNN, GAN, Transformers, Encoder-Decoder architectures, NLTK, Transformers).
  • Knowledge and experience in Python.
  • Full-Stack Software Development: Proficiency building complete web applications, including front-end (e.g., JavaScript/TypeScript, React, HTML/CSS) and back-end development (e.g., Python frameworks such as FastAPI, Flask, or Django; RESTful/GraphQL API design; SQL/NoSQL databases).
  • Agentic AI & Generative AI: Hands-on experience designing, building, and deploying agentic AI systems and LLM-powered applications, including orchestration and agent frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, LangGraph, AutoGen, CrewAI), vector databases (e.g., FAISS, Pinecone, Azure AI Search), and prompt engineering.
  • Data Analysis and Modeling.
  • AI/ML Architecture: Design and develop scalable and efficient AI/ML architectures to support the deployment of machine learning models.
  • Data Engineering: Work closely with data engineers to ensure the availability, quality, and reliability of data required for AI/ML projects.
  • RAG Pipelines: Implement robust and reliable RAG (Retrieval - Augmented Generation) pipelines to automate the end-to-end AI/ML workflow.
  • MLOps: Implement MLOps practices to streamline the development, deployment, and management of AI/ML models.
  • Azure AI Tools: Experience with Azure AI tools and services, such as Azure Machine Learning, Azure Databricks, and Azure Cognitive Services.
  • Research and Problem-Solving.

Qualification & Requirements:

  • Bachelor's degree or higher in Computer Science, AI/ML, or a related field.
  • Minimum of 2+ years of relevant professional experience in Python, Machine Learning, Deep Learning.
  • Strong expertise in data analysis, modeling, and machine learning techniques (e.g., regression, classification, clustering, deep learning).
  • Proficiency in Python and relevant libraries/frameworks for NLP (e.g., NLTK, spaCy, Transformers).
  • Proficiency in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Demonstrated experience building and deploying full-stack applications (front-end and back-end) that integrate AI/ML or GenAI capabilities.
  • Practical, hands-on experience developing agentic AI and GenAI applications using RAG architectures, LLM orchestration frameworks, and vector databases.
  • Experience in working with large and complex datasets, data pre-processing, and feature engineering.
  • Solid understanding of statistical concepts and their applications in data analysis.
  • Proven track record of delivering successful AI/ML projects and driving business impact.
  • Excellent communication, presentation, and documentation skills.
  • Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies.
  • Ability to work independently, manage multiple projects simultaneously, and collaborate effectively with diverse stakeholders.

Thank you for your interest in joining our team!