– AI/ML Engineer (Generative AI & LLM)

Experience: 2+ Years

Role: AI/ML Engineer – Generative AI & LLM

Employment Type: Full-Time

Location: Bangalore

About the Role

We are looking for a hands-on AI/ML Engineer with 2+ years of experience to design, develop, and deploy AI-driven applications using Python, Large Language Models (LLMs), LangChain, and modern Generative AI technologies.

The ideal candidate should have practical experience building real-world AI/ML solutions, with a strong understanding of LLM-based applications, RAG pipelines, prompt engineering, model evaluation, NLP, and machine learning fundamentals. The candidate will work closely with software engineers, data scientists, and product teams to develop scalable and production-ready AI solutions.

Key Responsibilities

Design, develop, and implement AI/ML and Generative AI applications using Python and modern AI frameworks.

Develop LLM-powered applications using LangChain, LLM APIs, prompt engineering, and RAG architectures.

Build and optimize Retrieval-Augmented Generation (RAG) pipelines using document processing, embeddings, vector databases, retrieval, and response generation.

Integrate and work with LLMs such as OpenAI, Gemini, Claude, Llama, or other open-source/proprietary models.

Develop machine learning and deep learning solutions for AI-driven business applications.

Perform data collection, preprocessing, cleaning, transformation, and analysis to prepare high-quality datasets for AI/ML applications.

Implement and evaluate prompt strategies, retrieval techniques, model outputs, and AI application performance.

Fine-tune or optimize models and AI pipelines where required to improve accuracy, relevance, latency, and overall performance.

Work with embeddings, vector databases, semantic search, and knowledge retrieval systems.

Develop APIs and backend services for AI applications using frameworks such as FastAPI or Flask.

Integrate AI/ML solutions with existing applications, databases, and third-party APIs.

Conduct model and application evaluation using appropriate accuracy, relevance, latency, and quality metrics.

Troubleshoot and optimize AI/ML pipelines for reliability,



scalability, and production readiness.

Write clean, modular, maintainable, and efficient Python code following software engineering best practices.

Participate in code reviews, technical discussions, and architecture/design reviews.

Collaborate with data scientists, software engineers, product managers, and other stakeholders to translate business requirements into AI solutions.

Stay updated with the latest developments in Generative AI, LLMs, Agentic AI, NLP, and machine learning and identify opportunities to apply them.

Prepare and maintain technical documentation, architecture documents, model evaluation reports, and implementation details.

Required Skills & Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or a related field.

2+ years of hands-on experience in AI/ML development or real-time AI/ML projects.

Strong programming skills in Python.

Hands-on experience developing Generative AI and LLM-based applications.

Strong practical knowledge of LangChain and its application in LLM-based solutions.

Good understanding of Large Language Models (LLMs) and their practical implementation.

Hands-on understanding of RAG, embeddings, vector databases, semantic search, and prompt engineering.

Experience working with LLM APIs such as OpenAI, Gemini, Claude, or similar platforms.

Good understanding of Machine Learning and Deep Learning concepts.

Experience with at least one deep learning framework such as PyTorch or TensorFlow.

Familiarity with NLP concepts and techniques.

Experience with data preprocessing, data analysis, and working with structured/unstructured datasets.

Valuable understanding of REST APIs and experience with frameworks such as FastAPI or Flask is preferred.





Familiarity with databases such as PostgreSQL, MySQL, MongoDB, or similar.

Understanding of Git, version control, and software development best practices.

Knowledge of AI model evaluation, experimentation, and performance optimization.

Strong problem-solving and analytical skills.

Good communication and collaboration skills.

Ability to independently take ownership of assigned AI/ML projects and deliver production-ready solutions.

Preferred Skills

Experience with Agentic AI, AI Agents, or multi-agent systems.

Experience with LangGraph or similar agent orchestration frameworks.

Experience working with Vector Databases such as Pinecone, Weaviate, Chroma, FAISS, or Milvus.

Familiarity with Docker and CI/CD pipelines.

Experience deploying AI/ML applications on AWS, Azure, or Google Cloud Platform.

Knowledge of MLflow or similar model experimentation/evaluation tools.

Understanding of LLM observability, guardrails, hallucination reduction, and AI application security.

Experience working with open-source LLMs and model-serving frameworks is an added advantage.

Key Technical Skills

Programming: Python

Generative AI & LLM: LLMs, Prompt Engineering, RAG, Embeddings, AI Agents

Frameworks: LangChain, LangGraph, PyTorch / TensorFlow

AI/ML: Machine Learning, Deep Learning, NLP, Model Evaluation

Vector & Data: Vector Databases, Semantic Search, SQL, Data Preprocessing

Backend: FastAPI, Flask, REST APIs

Cloud & DevOps: AWS / Azure / GCP, Docker, CI/CD

Version Control: Git, GitHub / GitLab

What We Are Looking For A candidate with strong hands-on experience rather than only theoretical knowledge.

Ability to independently build an AI/ML application from requirement → data preparation → model/LLM integration → evaluation → API/application → deployment.

Strong understanding of how LLM-based applications work beyond simply using an LLM API.

Candidates who have worked on real-time projects or production-oriented AI/ML applications will be preferred.

A proactive learner who can quickly adapt to evolving Generative AI and LLM technologies.

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