AI Engineer

TECHLANZ Pvt. Ltd.; Bengaluru; On-site; INR 240,000 - 360,000; Part time

Benefits offered by this job

Cutting-edge tools

Flexible hours

Remote work options

Performance bonuses

Career advancement

Job summary

Techlanz is seeking an ambitious AI Engineer-Intern to join our AI & Data team in Bengaluru. You will design, build, and deploy autonomous AI agents capable of complex reasoning and multi-step planning, leveraging LLMs and RAG pipelines.

You will write optimized Python code, integrate with external APIs, and collaborate with data scientists and product managers to translate business requirements into actionable agent capabilities.

Qualifications

• Bachelor's degree in Computer Science, Machine Learning, Data Science, or related field.

Responsibilities

• Design and implement foundational components of intelligent autonomous agents (planning, memory, reflection).
• Develop and maintain Retrieval-Augmented Generation (RAG) pipelines for up-to-date knowledge.
• Integrate LLMs with external APIs and tools to execute multi-step workflows.
• Write production-quality Python code for agent logic and state management in orchestration frameworks.
• Collaborate with senior engineers to deploy agentic systems in cloud environments (AWS) using Docker.

Skills

Python

LLMs

Agentic AI

RAG

Prompt Engineering

LangChain

PyTorch

Docker

MLOps

Education

Bachelor's degree in Computer Science / ML / Data Science

Tools

LangChain

LlamaIndex

CrewAI

Docker

Git

Pinecone

Weaviate

Job description

We are seeking an ambitious, early-career AI Engineer-Intern to join our cutting-edge AI & Data team. This role is a high-impact opportunity to design, build, and deploy intelligent, autonomous AI agents capable of complex reasoning, multi-step planning, and tool-use in production environments. The successful candidate will leverage Large Language Models (LLMs) and modern orchestration frameworks to develop the next generation of self-correcting, goal-driven software, directly contributing to our core product's intelligent automation and cognitive capabilities. This is a highly technical role best suited for a candidate with a strong foundational understanding of software engineering, machine learning principles, and a passion for the burgeoning field of Agentic AI.

Job Responsibilities

KEY DELIVERABLES OF THE ROLE

• Design and implement foundational components of intelligent, goal-driven autonomous agents, including planning, memory, and reflection mechanisms.
• Develop and maintain robust Retrieval-Augmented Generation (RAG) pipelines to provide agents with up-to-date and domain-specific external knowledge.
• Integrate LLMs (e.g., OpenAI, LLaMA, GPT-4) with external APIs and tools, enabling agents to take real-world actions and execute complex, multi-step workflows.
• Write production-quality, highly optimized Python code for agent logic, prompt chaining, and state management within orchestration frameworks.
• Collaborate with senior engineers to deploy agentic systems into cloud environments (AWS) using containerization technologies like Docker.
• Perform rigorous prompt engineering, optimization, and hyperparameter tuning to enhance agent reliability, accuracy, and reduce hallucination rates.
• Design and execute comprehensive unit and integration tests for new agent features, ensuring resilience and correctness in dynamic environments.
• Contribute to the establishment of MLOps and AgentOps practices, focusing on automated testing, deployment, and continuous monitoring of live agents.
• Document technical design specifications, agent architectures, and deployment procedures for knowledge transfer and auditability.
• Research and evaluate state-of-the-art papers, frameworks (e.g., LangChain, AutoGen, CrewAI), and models to propose strategic improvements to the platform.
• Debug and resolve performance bottlenecks and errors in distributed agent systems and LLM inference pipelines.
• Work closely with Data Scientists and Product Managers to translate abstract business requirements into precise, executable agent capabilities and technical tasks.
  Qualifications, Experience, Skills
• Educational Foundation: Bachelor's degree in Computer Science, Machine Learning, Data Science, or a closely related quantitative field.
• Experience: 0-2 years of professional experience (including internships or significant project work) in AI/ML engineering, software development, or a related field.
• Core Programming: Demonstrated expert-level proficiency in Python and its associated data science and ML libraries (e.g., NumPy, pandas).
• AI/ML Fundamentals: Solid theoretical and practical understanding of core Machine Learning and Deep Learning concepts, including model training, evaluation, and deployment.
• Agentic/LLM Skills (Required): Hands-on experience with Large Language Models (LLMs) and key concepts such as prompt engineering, few-shot learning, and Retrieval-Augmented Generation (RAG).
• Frameworks & Tools (Required): Practical experience with at least one major LLM orchestration or agentic framework (e.g., LangChain, LlamaIndex, CrewAI).
• Cloud & Deployment (Preferred): Familiarity with cloud services (AWS, Azure, or GCP) and a foundational understanding of containerization (Docker) and version control (Git).
• Data Skills: Working knowledge of SQL and experience with vector databases (e.g., Pinecone, Weaviate) is a strong advantage.
• Soft Skills: Exceptional problem-solving and analytical reasoning abilities, high intellectual curiosity, and a demonstrated ability to learn complex technical concepts quickly and independently.

Skills

MUST-HAVE SKILL SET

Python

LLMs

Agentic AI

RAG

Prompt Engineering

LangChain

PyTorch

Docker

MLOps

PERKS OF BEING ON OUR TEAM

• Access to cutting-edge design tools and software subscriptions for continuous learning and development.
• Opportunity to work on diverse projects across multiple industries and product categories.
• Regular design workshops and mentorship from experienced design leaders in the industry.
• Flexible work hours and occasional remote work options to support creative processes.
• Competitive compensation package with performance bonuses and career advancement opportunities.
• Collaborative team environment that values innovation, experimentation, and creative thinking.

At Techlanz, we believe that real progress happens when minds align around a common purpose. We're not just building products, we're shaping the future of EV technology and battery intelligence. Our focus is on delivering innovative, high-performance solutions that drive efficiency, safety, and sustainability across the electric mobility ecosystem.

We seek to collaborate with like‑minded partners, visionaries, and organizations who share our ambition to transform what's possible. By combining deep domain expertise with a commitment to excellence, we aim to co‑create a smarter, cleaner, and more connected tomorrow. If your goals resonate with ours, let's move forward, together.

About

Techlanz is a global technology company revolutionizing electric vehicle Technology Development, Engineering Services, Trainings and partnerships for driving sustainable innovation and growth. We focus on fostering innovation, building strong partnerships, and providing practical, sustainable solutions for the future of mobility.