Infrrd Off Campus Drive 2026: Exciting Python Developer Gen AI Opportunity

Infrrd Off Campus Drive 2026 brings an exciting opportunity for aspiring developers to kickstart their careers as a Python Developer (Gen AI) in Bengaluru, offering a competitive expected salary package along with hands-on exposure to cutting-edge artificial intelligence and document automation technologies, making it an ideal entry point for fresh graduates looking to build expertise in Generative AI and scalable software solutions.

About Infrrd

Infrrd is an award-winning AI firm focused on applying machine learning to improving business processes. The company’s platform employs next-generation AI capabilities to help enterprises transform their businesses. Proprietary technology removes bottlenecks caused by manual data entry and unlocks data from complex documents to power digitization.

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Infrrd Off Campus Drive 2026 Details

Company Name Infrrd Job Role Python Developer (Gen AI) Job Type Full Time Job Location Bengaluru Education BE/ B.Tech Career Level 0 – 1 Years Salary Not Mentioned Company Website www.infrrd.ai

Job Description For Infrrd Off Campus Drive 2026

We are on the lookout for a motivated Python Developer to join our Engineering team. In this role, you will help us to build our product in an efficient and solid way.

Job Purpose

To provide hands-on technical support during implementation of Product features with a focus on rapid debugging, scripting, and data analysis; ensure smooth integrations and reliable deployments while improving developer productivity using AI-first tools and automation; and optimize the existing code and framework.

Job Duties And Responsibilities

• Build and debug features for the Product. Rollout issues across APIs, data transformations, and deployment workflows with rapid turnarounds.
• Build and maintain Python utilities/services for validation, transformation, and automation of QC checklist execution.
• Implement GenAI workflows using LangChain/OpenAI, including prompt design, tools, and guards for reliability and traceability.
• Design and tune vector indexing and retrieval over PGVector for checklist content, policies, and artifacts.
• Create evaluators, test harnesses, and regression suites for LLM pipelines and generated code outputs.
• Instrument logs/metrics and perform root-cause analysis across data, prompts, and model outputs; document playbooks.
• Collaborate with Product/CS/QA to triage tickets, reproduce issues, and ship hotfixes and safe migrations.
• Harden deployments with config management, secrets hygiene, and rollback strategies for onboarding and production.
• Maintain knowledge base and SOPs for integrations, data contracts, and compliance-sensitive workflows.
  
  

Required Qualifications

• Bachelor’s in CS/ Engineering or equivalent practical experience
• Strong Python development background
• Experience implementing GenAI/LLM solutions in production-like settings
• Excellent debugging and communication skills.
  
  

Must-have Skills

• Python 3.x with strong software engineering and debugging proficiency.
• GenAI/LLM: LangChain, OpenAI API, prompt engineering, tool/function calling, guards.
• NLP utilities and text processing with nltk or similar.
• MongoDB data modeling and query optimization for app/ops flows.
• Vector databases and retrieval (PGVector on Postgres) for RAG-like patterns.
• Observability and log analysis for rapid root-cause and fix-forward.
• LLM orchestration with OpenAI/Gemini, including retries, timeouts, and structured outputs.
• Vector retrieval with PGVector (indexing, chunking, similarity tuning, evals).
• Debugging onboarding/deployment issues across configs, data, and environments
  
  

Nice To Have Skills

• MLOps fundamentals (model/config/versioning, evals, CI for LLM flows).
• MCP server or tool-agent patterns for internal developer workflows.
• FastAPI/async IO for lightweight services and integrations.
• CI/CD (GitHub Actions) and infra basics (Docker).
• Experience with mortgage/QC/RegTech domains or checklists.
• Python packaging, environments, and testing; REST APIs and JSON.
• Prompt engineering basics; model limits, latency, and cost tradeoffs.
• Data handling with Pandas and text normalization/tokenization
  
  

Working Knowledge (Tools)

• GitHub/Git; Issues/Projects; PR reviews.
• JIRA/Confluence for triage and runbooks.
• Postman/cURL for API validation.
• VS Code with Copilot/Cursor; Python tooling (venv/poetry/pytest).
  
  

Infrrd Off Campus Drive 2026 Selection Process

The selection process for Infrrd Off Campus Drive 2026 is designed to evaluate candidates across technical, analytical, and communication skills. The process typically consists of multiple rounds to ensure the right fit for the role.

• Online Assessment Test
  
  

The first stage is an online test that evaluates candidates on:

• Aptitude (Quantitative & Logical Reasoning)
• Basic Programming Skills (Python/Java)
• Problem-Solving Ability
• MCQs on Computer Science fundamentals
  
  

Candidates must clear this round to move forward.

• Technical Interview (Round 1)
  
  

Shortlisted candidates are invited for a technical interview. This round focuses on:

• Data Structures & Algorithms
• Programming concepts (Python preferred for Gen AI roles)
• Database fundamentals (SQL basics)
• Real-time problem-solving and coding tasks
  
  

Interviewers may also ask candidates to write code or debug existing programs.

• Advanced Technical / Managerial Round
  
  

In This Round, Candidates Are Evaluated On

• Project experience and internships
• Understanding of AI/ML concepts (for Gen AI roles)
• System design basics
• Analytical thinking and approach to solving complex problems
  
  

Behavioral questions related to teamwork and adaptability may also be included.

• HR Interview
  
  

The final round is conducted by HR and focuses on:

• Communication skills
• Cultural fit with Infrrd
• Career goals and expectations
• Salary discussion and availability
  
  

Candidates who successfully clear all rounds will receive an offer letter.

FAQs

What is the eligibility criteria for Infrrd Off Campus Drive 2026?

Candidates must have a BE/B.Tech or equivalent degree (CS/IT or related fields preferred). Freshers from the 2025 or 2026 batch are generally eligible, with a good academic record.

What programming languages are required for Infrrd recruitment?

Python is highly preferred, especially for Gen AI roles. Knowledge of Java, SQL, and basic scripting can also be beneficial.

Is prior internship experience mandatory for Infrrd?

No, it is not mandatory, but having internships or project experience in AI, ML, or software development can significantly improve your chances.

How many rounds are there in the Infrrd selection process?

Typically, there are 3 to 4 rounds: an online test, one or two technical interviews, and an HR interview.

What is the expected salary for freshers at Infrrd?

The expected CTC for freshers usually ranges between ₹6 LPA to ₹12 LPA, depending on the role, skills, and performance in interviews.

Infrrd Off Campus Drive 2026 Application Link

Click Here To Apply Now

We wish you the best of luck in your Infrrd Off Campus Drive 2026. May your talents shine, and may you find the perfect opportunity that not only meets your professional goals but also brings joy to your everyday work.