AI engineer Intern

About the Role

We are looking for enthusiastic LLM Interns to join our team remotely for a 3-month internship. This role is ideal for students or graduates interested in AI, Natural Language Processing (NLP), and Large Language Models (LLMs). You will gain hands-on experience working with cutting-edge AI tools, prompt engineering, and model fine-tuning. While this is an unpaid internship, interns who successfully complete the program will receive a Completion Certificate and a Letter of Recommendation.

Responsibilities

• Research and experiment with LLMs, NLP techniques, and AI frameworks.
• Design, test, and optimize prompts and workflows for different use cases.
• Assist in fine-tuning or integrating LLMs for internal projects.
• Evaluate model outputs and improve accuracy, efficiency, and reliability.
• Collaborate with developers, data scientists, and product managers to implement AI-driven features.
• Document experiments, results, and best practices.

Requirements

• Strong interest in Artificial Intelligence, NLP, and Machine Learning.
• Familiarity with Python and ML libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers).
• Basic understanding of LLM concepts such as embeddings, fine-tuning, and inference.
• Knowledge of APIs (OpenAI, Anthropic, Hugging Face, etc.) is a plus.
• Good analytical and problem-solving skills.
• Ability to work independently in a remote environment.

What You’ll Gain

• Practical exposure to state-of-the-art AI tools and LLMs.
• Mentorship from AI and software professionals.
• Completion Certificate upon successful completion.
• Letter of Recommendation based on performance.
• Experience to showcase in research projects, academic work, or future AI roles.

Internship Details

• Duration: 3 months
• Location: Remote (Work from Home)
• Stipend: Unpaid
• Perks: Completion Certificate + Letter of Recommendation

Company Name: WINIT

Location: Hyderabad

Experience: 0–2 Years

Role Overview

We are looking for a talented AI/ML Trainee to build intelligent automation solutions for Legal Process Outsourcing (LPO). The role involves leveraging Python, SQL, AWS, and Generative AI (LangChain, LLMs, RAG) to automate document-heavy workflows such as contract analysis, data extraction, and legal document processing.

Key Responsibilities

• Develop and deploy AI/ML models for legal document processing and automation.
• Build Python-based pipelines for data processing, automation, and model integration.
• Design and optimize SQL queries for efficient data management and reporting.
• Work with AWS services (S3, Lambda, EC2, Bedrock, etc.) for scalable deployments.
• Develop Generative AI solutions using:
• LangChain
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Implement document intelligence solutions (classification, summarization, entity extraction).
• Integrate AI models into business applications via APIs.
• Collaborate with cross-functional teams to understand automation needs.
• Ensure model performance, scalability, and data security.

Required Skills

• Strong proficiency in Python 
• Good knowledge of SQL.
• Understanding of machine learning fundamentals.
• Hands-on or conceptual knowledge of:
• LangChain
• LLMs
• RAG architectures
• Familiarity with AWS cloud platform.
• Basic understanding of NLP / text processing.

About WINIT

For more information, please visit: www.winitsoftware.com

We are seeking Generative AI Developers with strong Python programming and AI/ML expertise to build, deploy, and optimize LLM-powered applications. The role involves developing RAG solutions, AI agents, and enterprise GenAI applications while collaborating with cross-functional teams.

Key Responsibilities

• Develop and enhance Generative AI applications using LLMs and AI frameworks.
• Build and optimize RAG pipelines, vector search, and AI-powered workflows.
• Design effective prompts and fine-tune models using techniques such as LoRA and QLoRA.
• Develop REST APIs and integrate AI capabilities into enterprise applications.
• Deploy, monitor, and maintain AI solutions in cloud and containerized environments.
• Ensure code quality through testing, debugging, documentation, and code reviews.
• Follow Responsible AI, security, and data governance practices.

Required Technical Skills

• Strong proficiency in Python, OOP, APIs, debugging, and software development best practices.
• Good understanding of Data Structures & Algorithms, complexity analysis, and problem-solving.
• Hands-on experience with LLMs, Prompt Engineering, RAG, AI Agents, and embeddings.
• Experience with LangChain, LangGraph, LlamaIndex, Hugging Face, or similar frameworks.
• Knowledge of vector databases, semantic/hybrid search, and retrieval architectures.
• Experience with PyTorch, TensorFlow, or Keras.
• Familiarity with Docker, Git, CI/CD, and cloud platforms (Azure/AWS/GCP).
• Understanding of AI governance, data privacy, and Responsible AI principles.

Preferred Skills

• Experience with Agentic AI frameworks (CrewAI, AutoGen, Semantic Kernel).
• Exposure to Azure AI Foundry, Databricks, or enterprise AI platforms.
• Knowledge of multimodal AI applications.

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
• 5 years of software development experience, including AI/ML or Generative AI projects.
• Experience building and deploying production-grade AI solutions.

Assessment Focus Areas

Candidates will be evaluated on:

• Python coding and problem-solving
• Data Structures & Algorithms
• LLMs, RAG, and Agentic AI concepts
• API development and system design
• Cloud deployment and AI solution architecture

About LeadSquared

LeadSquared is a leading sales execution and marketing automation platform trusted by 2,000+ businesses globally, including healthcare, education, financial services, and real estate. Headquartered in Bengaluru with offices across the US, UK, UAE, and Southeast Asia, we empower sales teams to close faster, smarter, and at scale.

Our AI team is at the forefront of integrating cutting-edge large language model capabilities into enterprise workflows — building intelligent agents, copilots, and automation systems that redefine how businesses operate.

Role Overview

We are looking for a Senior AI Engineer with hands-on experience building LLM-powered agents and agentic AI systems. You will design, develop, and deploy autonomous AI pipelines that solve complex, multi-step business problems — from lead qualification and follow-up automation to intelligent CRM workflows and beyond.

This role is ideal for someone who is deeply excited about the frontier of AI, can move fast, and wants their work to directly impact millions of sales professionals worldwide.

Key Responsibilities

•

Design and build LLM-powered agentic systems using frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI to automate complex, multi-step workflows.

•

Develop and maintain Retrieval-Augmented Generation (RAG) pipelines with vector databases (Pinecone, Weaviate, Chroma, pgvector) for domain-specific knowledge grounding.

•

Build and integrate tool-use and function-calling capabilities into AI agents, enabling dynamic interaction with internal APIs, databases, and third-party services.

•

Implement prompt engineering strategies including chain-of-thought, few-shot prompting, and structured output parsing to ensure reliable agent behavior.

•

Design evaluation frameworks and observability pipelines (LangSmith, Helicone, custom metrics) to monitor agent performance, accuracy, and cost.

•

Collaborate with product, sales, and domain teams to translate business requirements into AI-driven solutions and features.

•

Optimize LLM inference for latency and cost using techniques like caching, model distillation, quantization, and batching.

•

Stay current with the rapidly evolving LLM ecosystem and proactively propose improvements and new approaches.

•

Contribute to internal best practices, documentation, and knowledge-sharing across the engineering org.

Required Qualifications

Experience

•

2–4 years of professional software engineering experience, with at least 1–2 years focused on LLM/AI systems.

•

Proven experience shipping LLM-based products or agentic AI systems into production environments.

Technical Skills

•

Strong proficiency in Python and familiarity with async programming patterns for AI pipelines.

•

Hands-on experience with LLM APIs: OpenAI (GPT-4o), Anthropic (Claude), Google (Gemini), or open-source models (Llama, Mistral).

•

Experience with agentic frameworks: LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, or similar.

•

Solid understanding of RAG architectures, embedding models, and semantic search.

•

Experience with vector databases and similarity search infrastructure.

•

Knowledge of REST APIs, microservices architecture, and containerization (Docker/Kubernetes).

Problem-Solving & Mindset

•

Strong ability to decompose ambiguous, open-ended problems into structured AI system designs.

•

Experience with prompt debugging, LLM evaluation, and iterative refinement workflows.

•

Ability to balance research exploration with engineering pragmatism to ship reliable systems.

Preferred Qualifications

•

Experience with multi-agent orchestration and agent memory systems (short-term and long-term).

•

Familiarity with fine-tuning or RLHF workflows for domain adaptation.

•

Background in NLP, information retrieval, or conversational AI.

•

Prior experience in B2B SaaS or CRM domain is a plus.

•

Contributions to open-source AI/ML projects or published research/blogs.

•

Experience with cloud platforms: AWS, GCP, or Azure — particularly AI/ML services

Strong AI Engineer / Machine Learning Engineer profiles.

2

Mandatory (Experience 1) – Must have minimum 3+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.

3

Mandatory (Experience 2) – Must have strong hands-on experience in Python programming, SQL, data analysis, feature engineering, model development, and production-grade ML applications.

4

Mandatory (Experience 3) – Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, or equivalent.

5

Mandatory (Experience 4) – Must have hands-on experience working on NLP, embeddings, semantic search, text classification, document understanding, recommendation systems, or similar AI/ML use cases.

6

Mandatory (Experience 5) – Must have experience working with Large Language Models (LLMs) such as GPT, Llama, Mistral, Claude, Gemini, Phi, or similar foundation models.

7

Mandatory (Experience 6) – Must have hands-on experience building or implementing RAG (Retrieval Augmented Generation) systems, vector search, knowledge retrieval, embeddings, chunking, indexing, or semantic retrieval solutions.

8

Mandatory (Experience 7) – Must have experience working with Git, CI/CD practices, production environments, and scalable AI/ML systems.

9

Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

10

Mandatory (Age) - Candidate's Age should be below 28 Years

11

Preferred (Experience 1) – Experience with MLFlow, Kubeflow, Airflow, Prefect, Feature Stores, Model Registry, or MLOps/LLMOps frameworks.

12

Preferred (Experience 2) – Experience working with Vector Databases, Spark, PySpark, distributed ML pipelines, large-scale data processing, or real-time ML systems..

13

Preferred (Experience 3) – Familiarity with Docker, Kubernetes, Azure, AWS, GCP, cloud-native AI deployments, and scalable ML architecture.

14

Preferred (Company) – Candidates from AI-first startups, Fintech, Banking, Lending, Fraud Analytics, Risk Analytics, Product Companies, SaaS organizations, or data-driven technology companies

15

Mandatory ( Pedigree) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered.

Job Description:

We are looking for a hands-on AI Engineer with experience in Generative AI and Agentic AI to build and deploy production-ready AI solutions.

Key Responsibilities:

• Develop and deploy GenAI and Agentic AI applications.
• Build RAG pipelines, LLM workflows, and AI agents.
• Develop solutions using Python, LangChain, LangGraph, LlamaIndex, or similar frameworks.
• Implement tool calling, context retrieval, and LLM orchestration.
• Integrate AI solutions with APIs and cloud platforms.
• Work with AWS/Azure/GCP, Docker, and CI/CD.

Required Skills:

• Strong Python programming skills.
• 3+ years of GenAI/Agentic AI experience.
• RAG and LLM orchestration.
• LangChain / LangGraph / LlamaIndex / AutoGen / CrewAI / Semantic Kernel.
• MCP and A2A knowledge.
• Cloud, APIs, Docker, and CI/CD experience.

Preferred Experience:

Hands-on experience building and deploying production-ready AI solutions.

About Nexora Group

Nexora Group is a technology and innovation-driven organization dedicated to building intelligent solutions that leverage Artificial Intelligence, Machine Learning, Data Analytics, and emerging technologies. We are committed to fostering talent by providing aspiring professionals with practical exposure, mentorship, and opportunities to work on real-world projects.

Internship Overview

Nexora Group is looking for enthusiastic and driven AI/ML Interns to join our team. This internship is ideal for students and recent graduates who are passionate about Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI. Interns will gain hands-on experience working on real-world AI projects, developing intelligent models, and solving complex business challenges using data-driven approaches.

Key Responsibilities

• Assist in developing, training, and evaluating Machine Learning models.
• Collect, clean, and preprocess datasets for AI/ML applications.
• Conduct exploratory data analysis and feature engineering.
• Work on Deep Learning, Natural Language Processing (NLP), and Computer Vision projects.
• Research and implement AI algorithms and emerging technologies.
• Support the development of Generative AI and Large Language Model (LLM)-based solutions.
• Optimize model performance and evaluate results using industry-standard metrics.
• Document project workflows, findings, and technical reports.
• Collaborate with cross-functional teams to develop innovative AI solutions.

Required Skills

• Basic understanding of Machine Learning and Artificial Intelligence concepts.
• Knowledge of Python programming.
• Familiarity with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, or Keras.
• Understanding of data structures, algorithms, and statistics.
• Basic knowledge of Deep Learning, NLP, or Computer Vision concepts.
• Strong analytical and problem-solving skills.
• Good communication and teamwork abilities.
• Willingness to learn and adapt to new technologies.

Preferred Qualifications

• Experience with AI/ML projects, hackathons, or research work.
• Knowledge of Generative AI, Prompt Engineering, and LLMs.
• Familiarity with cloud platforms and AI deployment tools.
• Certifications in AI, Machine Learning, or Data Science are a plus.
• GitHub projects or portfolio showcasing AI/ML work.

Eligibility

• Undergraduate or postgraduate students pursuing Computer Science, Artificial Intelligence, Machine Learning, Data Science, Information Technology, or related fields.
• Recent graduates seeking practical industry experience.
• Candidates with a strong interest in AI innovation and research.

What You'll Gain

• Hands-on experience with real-world AI and Machine Learning projects.
• Mentorship from experienced AI professionals.
• Exposure to cutting-edge AI tools, frameworks, and technologies.
• Internship Completion Certificate.
• Letter of Recommendation based on performance.
• Opportunity for a Pre-Placement Offer (PPO) for outstanding performers.
• Professional networking and career development opportunities.

Job Title: Senior AI/ML Engineer

Company: Timble Technologies Pvt. Ltd

Location: Gurugram (Hybrid)

Experience: 2 TO 5 Years

About Us

Timble Glance is a high-growth AI RegTech and B2B SaaS company catering to top-tier BFSI and enterprise clients. We build cutting-edge systems powering 30+ high-scale APIs for digital identity verification, fraud detection, document intelligence, and compliance automation.

Role Overview

We are looking for a hands-on Senior AI/ML Engineer to design, develop, and productionize high-throughput AI/ML and Generative AI systems. You will own the full lifecycle—from problem formulation and data pipelines to deep learning architectures, RAG systems, LLMOps, and model governance—delivering sub-second latency and high reliability across our enterprise products.

Key Responsibilities

·       Model Architecture & Deployment: Design, train, and deploy production-scale ML/Deep Learning and GenAI systems (computer vision, document intelligence, OCR, NLP, fraud risk classification, and LLM applications).

·       GenAI & LLM Solutions: Develop robust LLM workflows including prompt engineering, fine-tuning, RAG pipelines, semantic search, vector indexing (Pinecone/Milvus/Chroma), and safety guardrails.

·       Pipelines & Engineering: Build performant feature extraction and data pipelines; write modular, vectorized, production-grade Python (NumPy, Pandas) and advanced SQL.

·       MLOps & Monitoring: Establish end-to-end MLOps/LLMOps standards—model registries, CI/CD, experiment tracking, drift detection, A/B testing, latency optimization, and cost governance.

·       Responsible AI & Security: Ensure model decisions comply with enterprise data security, privacy standards, and auditability required by the BFSI sector.

·       Collaboration & Ownership: Translate complex business requirements into technical roadmaps, conduct rigorous code reviews, and mentor junior engineers.

Required Qualifications & Skills

·       Education: B.Tech / M.Tech in Computer Science, AI/ML, Mathematics, or a related field—Tier-1 institutes (IIT, IIIT, NIT) strongly preferred.

·       Experience: 2+ years of hands-on experience developing, deploying, and maintaining ML/Deep Learning or GenAI models in production environments.

·       GenAI & NLP Stack: Hands-on experience with LLMs, embeddings, RAG architectures, and frameworks such as LangChain, LlamaIndex, or Hugging Face.

·       Deep Learning Frameworks: Strong proficiency in PyTorch or TensorFlow, with deep knowledge of transformer architectures and modern NLP/CV models.

·       Software & Data Engineering: Expert-level Python skills (pytest, Git, OOP, asynchronous programming), solid SQL proficiency, and familiarity with data workflows.

·       Deployment & Cloud: Practical exposure to cloud platforms (AWS/GCP), containerization (Docker), API frameworks (FastAPI/Flask), and basic orchestration (Kubernetes).

Preferred Qualifications

·       Prior domain experience in Fintech, RegTech, Identity Verification (KYC/AML), Fraud Intelligence, or B2B SaaS.

·       Experience optimizing models for low latency and inference cost (e.g., ONNX, TensorRT, model quantization).

·       Familiarity with workflow orchestrators such as Airflow, Prefect, or Kubeflow.

About PGAGI:

We're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.

About the Role

We are at the forefront of building advanced AI systems — from fully autonomous agents that power intelligent customer interactions, to data analysis tools that deliver actionable business insights. This internship combines hands-on AI/ML engineering with robust backend development, giving you a complete picture of how production-grade AI systems are built, deployed, and scaled.

You will work across the full stack: designing and fine-tuning AI models on one end, and architecting the APIs, databases, and server-side infrastructure that bring those models to life on the other.

Key Responsibilities

AI / ML ENGINEERING

Design, experiment with, and fine-tune large language models (LLMs) and NLP pipelines for real-world use cases.

Develop and iterate on prompt engineering strategies to optimise model performance and output quality.

Integrate and deploy models using Hugging Face and OpenAI platforms; evaluate open-source alternatives.

Build deep learning workflows including training, evaluation, and continuous improvement loops.

Collaborate on data collection, preprocessing, and feature engineering for ML pipelines.

BACKEND ENGINEERING

Architect and develop scalable RESTful APIs and GraphQL endpoints using Node.js / FastAPI / Express.

Build and maintain full-stack features using Next.js (App Router), integrating server-side rendering, API routes, and React components.

Design and manage relational and NoSQL databases (PostgreSQL, MongoDB, or equivalent); write efficient queries and manage schema migrations.

Implement authentication, authorisation, and security best practices (JWT, OAuth 2.0, role-based access control).

Containerise services with Docker and contribute to CI/CD pipelines for reliable, automated deployments.

Integrate AI/ML model inference endpoints into backend services, handling async processing, queuing, and latency optimisation.

Write clean, well-tested, and well-documented backend code; participate actively in code reviews.

VERSION CONTROL & COLLABORATION

Use Git and GitHub for all version control workflows — branching strategies, pull requests, and code reviews.

Contribute to technical documentation, architecture decision records, and internal knowledge bases.

Duration & Compensation

Duration: 6 Months

Stipend: Base ₹8,000/month — up to ₹15,000/month based on performance

Post-Internship: Full-time opportunity as AI/ML Engineer (₹6–8 LPA) based on performance

Perks & Benefits

Hands-on experience shipping real AI products used by actual customers.

Mentorship from senior engineers and industry experts in AI/ML and backend development.

Exposure to the full development lifecycle — from model training to production deployment.

Collaborative, innovative, and flexible work environment.

Accelerated growth path with a clear route to a full-time engineering role.

How to Apply

Interested candidates are invited to submit their resume and complete the assignment using

the link : https://pgagi.in/jobs/28df1e98-f0c3-4d58-9509-d5b1a4ea9754

Shortlisted candidates will be contacted for an interview.

Selection Process

Initial Screening: We'll review your application for evidence of your skills, experience, and a strong foundation in AI.

Task Assignment: Candidates need to submit assignment which is already being attached in careers page , designed to assess your practical skills.

Performance Review: Our experts will evaluate your task submission, with excellence in this stage being crucial for further consideration.

Interview: Impressive task performers will be invited for an interview to discuss their potential contribution to our team.

Onboarding: Successful candidates will join our team, with exciting projects ahead

Requirements

MUST-HAVE SKILLS

Strong proficiency in Python for AI/ML development and scripting.

Solid understanding of JavaScript / TypeScript; experience with Node.js and Next.js (or a strong willingness to learn quickly).

Familiarity with REST API design principles and at least one backend framework (Express, FastAPI, Django, etc.).

Working knowledge of at least one database system (PostgreSQL, MySQL, MongoDB).

Experience with Git and GitHub version control workflows.

Exposure to AI/ML platforms such as Hugging Face and OpenAI.

Understanding of prompt engineering concepts and the model fine-tuning process.

GOOD TO HAVE

Hands-on experience with Next.js App Router, React Server Components, or similar modern full-stack frameworks.

Familiarity with Docker, basic DevOps concepts, or cloud platforms (AWS, GCP, or Azure).

Experience with message queues (Redis, RabbitMQ) or background task processing.

Knowledge of LLM orchestration tools such as LangChain or LlamaIndex.

SOFT SKILLS & MINDSET

Strong problem-solving instincts and a genuine curiosity about AI technology.

Ability to own tasks end-to-end and communicate progress clearly.

Comfortable working in a fast-moving environment where requirements evolve.

A growth mindset — eager to learn, receive feedback, and level up continuously.

TECH YOU'LL WORK WITH

Python

Next.js

Node.js

FastAPI

LLMs / NLP

PostgreSQL

React

Docker

HuggingFace

OpenAI API

GitHub

REST / GraphQL

Apply now to embark on a transformative career journey with PGAGI, where innovation and talent converge!

#artificialintelligence #Machinelearning #AI #AIML #LLM #FastAPI #NLP #openAI #AImodels #AIMLInternship #AIintern #Internship #aimlgraduate #Python

Mandatory skills : Artificial Intelligence,Machine Learning,Large Language Model

 2–4 years of experience in software engineering or AI/ML roles

- Proficiency in Python (preferred) or JavaScript/TypeScript

- Basic understanding of LLMs, RAG, and AI application development

- Familiarity with APIs, microservices, and databases (SQL/NoSQL)

- Exposure to cloud platforms (AWS/Azure/GCP)

- Strong problem-solving and learning mindset