Velo

Velo is hiring an ML Engineer Intern to build applied AI agent systems for screen/video understanding, narration generation, and long-horizon multi-agent workflows.

Listing added from provided Velo internship details (May 2026).

Job Snapshot

Key Responsibilities

• Design multi-agent systems for video understanding and structured intent mapping
• Build context-aware narration generation and temporal segmentation pipelines
• Implement agent memory and state tracking across long user flows
• Create evaluation frameworks for subjective output quality and hallucination reduction
• Improve reliability of long-form agent pipelines in production-like conditions

Required Skills

• Strong Python fundamentals
• Hands-on comfort with LLMs, prompting, RAG, tool use, and chaining
• Experience with LangChain, LlamaIndex, similar frameworks, or custom equivalents
• Ability to build and validate non-trivial AI systems beyond tutorial-level projects
• Critical mindset toward model outputs and strong ownership in execution

Eligibility Checklist Before You Apply

• You meet the stated eligibility: Students / Freshers with strong Python and applied AI fundamentals
• You have checked location and work type expectations.
• You have verified the official application link opens correctly.
• You are ready with updated resume, marksheets, and ID proof.
• You noted deadline and saved confirmation after applying.

Preparation Tips for Better Shortlisting

• Read the complete eligibility criteria for ML Engineer Intern - AI Agents before applying.
• Keep an updated resume in PDF format with role-relevant keywords.
• Apply early on the official portal to avoid last-day technical issues.
• Prepare 2-3 project explanations you can discuss in screening rounds.
• Never pay money to any third party for interview calls or job confirmation.

Who Should Apply

• Candidates who match this eligibility: Students / Freshers with strong Python and applied AI fundamentals.
• Applicants comfortable with Bangalore, India and Internship (Conversion to full-time based on performance).
• People who can complete the application carefully on the official portal with valid documents.

Who Should Skip

• Anyone not matching the required qualification or graduation year criteria.
• Candidates unwilling to relocate or follow the work schedule mentioned by the employer.
• Applicants planning to use unofficial agents or paid referral promises.

Selection Process (Typical Flow)

• Application review and profile shortlisting.
• Online assessment, technical task, or aptitude round (varies by employer).
• Technical/functional interview and final HR discussion.
• Offer release directly by the employer for selected candidates.

How to Apply Safely

Use only the official application link below. Do not share sensitive documents outside the employer portal. If any person asks for payment for selection, treat it as a scam and report immediately.