AI Engineer Intern

Job Summary

Softobiz is seeking five AI Engineering Interns to join their team in Kochi. This hands-on, mentored internship focuses on multi-agent orchestration, context management, and large language model (LLM) integration. It is open to final-year students and recent graduates with strong computer science fundamentals, data structures and algorithms skills, and Python proficiency. Interns will contribute to real features under senior guidance, aiming for conversion into a full-time AI Engineer role.

Overview

Softobiz, a leading technology firm, is excited to announce an exceptional off-campus internship opportunity for aspiring AI Engineers. This program is designed for bright and driven freshers from the 2024, 2025, 2026, 2027, and 2028 batches looking to make their mark in the rapidly evolving field of Artificial Intelligence. As an AI Engineer Intern at Softobiz in Kochi, you will gain invaluable hands-on experience working alongside seasoned engineers on production-grade agentic AI systems. The internship provides a unique learning curve focused on cutting-edge areas like multi-agent orchestration, context management, and seamless Large Language Model (LLM) integration. This is more than just an internship; it's a pathway to a rewarding full-time AI Engineer career, offering mentorship, real-world project contributions, and a collaborative environment where innovation thrives.

Key Responsibilities

• Assist in designing and implementing multi-agent workflows using LangGraph on Python with Pydantic structured output.
• Help model processes as stateful, resumable graphs with branching, looping, retries, and checkpointing.
• Support implementation of safe pause/resume and human-in-the-loop (HITL) checkpoints.
• Learn and contribute to context management, including layered context, retrieval/indexing, and active working sets.
• Help implement context selectors and filters, token-budgeted prompts, and summarisation/compaction of long histories.
• Assist in designing typed context schemas to ensure agents receive precise, high-signal context.
• Integrate LLM providers (e.g., Anthropic, OpenAI / Azure OpenAI) using prompt engineering, tool calling, and structured output.
• Help wire in retrieval techniques like vector search and embeddings, and code-intelligence for large codebases.
• Contribute to model-routing experiments balancing task type, latency, and cost.
• Help build evaluation and error-analysis loops to improve reliability and learn from failures.
• Assist in implementing verification and validation patterns and deterministic gates for agent outputs.
• Help keep agent decisions and context observable, auditable, and reproducible.
• Collaborate with platform/infrastructure engineers on deployment, inference, and persistence tasks.
• Participate in design reviews, code reviews, and Demo Friday, sharing work and insights from experiments.

Eligibility

Candidates must be pursuing or have recently completed a B.Tech, B.E., M.Tech, or MCA in Computer Science or a related field from a reputable institution (or equivalent). This off-campus opportunity is specifically open to final-year students and recent graduates from the 2024, 2025, 2026, 2027, and 2028 batches. Strong computer science fundamentals, exceptional data structures and algorithms (DSA) skills, and hands-on ability with Python are essential. A competitive programming track record (Codeforces / LeetCode / ICPC / similar) is a significant advantage. Any prior exposure to LLM / agentic AI through academic projects or self-learning is a plus, along with a clear eagerness to delve deep into LangGraph and context engineering. Preferred certifications include any recognized AI/ML or agentic-AI online course (e.g., DeepLearning.AI, Anthropic, Microsoft Azure AI Fundamentals) and any cloud fundamentals certification (Azure / AWS / GCP).

Required Skills

• Technical Skills:
• Strong Data Structures and Algorithms (DSA), complexity analysis, and problem-solving.
• Proficiency in Python 3.10+ (including async and typing) with an ability to write clean, idiomatic code.
• Good understanding of Agent Orchestration (LangGraph, state machines, checkpointers, HITL interrupts).
• Knowledge of Context Engineering (layered context, selectors/filters, summarisation & compaction, token budgeting).
• Familiarity with Agentic AI Development (multi-agent design, tool calling, structured output, verification patterns).
• Experience with LLM Integration (Anthropic & OpenAI / Azure OpenAI SDKs, prompt engineering).
• Data Modelling skills (Pydantic v2, JSON Schema / typed contracts).
• Understanding of Retrieval techniques (vector stores like Qdrant / Azure AI Search, embeddings).
• Awareness of Model Context Protocol (MCP), Multi-agent Frameworks (CrewAI, Microsoft Agent Framework), Durable Workflows (Temporal), and Inference (vLLM awareness, model routing) are preferred.
• Soft Skills:
• Strong analytical mindset with a structured approach to design, debugging, and root-cause analysis.
• Clear written and verbal communication skills to explain technical concepts to diverse audiences.
• High eagerness to learn, coachability, and ability to act on feedback.
• Collaborative team player contributing to shared standards, code reviews, and knowledge sharing.

Benefits

• Opportunity to work on production-grade agentic AI systems and cutting-edge LLM integration.
• Mentored internship under the guidance of senior AI engineers.
• Hands-on experience with real features, building industry-relevant skills.
• Pathway to conversion into a full-time AI Engineer role upon successful completion.
• Collaborative and innovative work environment focused on learning and growth.
• Exposure to advanced AI technologies and frameworks like LangGraph, Pydantic, and various LLM providers.

Selection Process

The selection process for the Softobiz AI Engineer Intern role will likely involve a multi-stage evaluation designed to identify candidates with exceptional computer science fundamentals, strong problem-solving capabilities, and a genuine passion for AI. It is expected to include an initial screening of applications focusing on academic records and relevant projects. This may be followed by technical assessments or coding challenges, particularly in Data Structures and Algorithms (DSA) and Python. Shortlisted candidates will then proceed to technical interviews to assess their understanding of AI concepts, agentic systems, LLMs, and their problem-solving approach. Further rounds might include discussions about academic projects, competitive programming achievements, and a final interview to evaluate soft skills, cultural fit, and eagerness to learn and contribute to Softobiz's innovative AI initiatives. The drive to convert the internship into a full-time role will also be a key consideration.

How To Apply

Eligible candidates interested in this exciting AI Engineer Intern opportunity at Softobiz in Kochi can click the link below to apply directly on the Softobiz careers page.

FAQ

What is the eligibility criteria for the Softobiz AI Engineer Intern role?

The internship is open to final-year students and recent graduates from 2024, 2025, 2026, 2027, and 2028 batches pursuing or having completed B.Tech, B.E., M.Tech, or MCA in Computer Science or a related field. Strong DSA and Python skills are a must.

What kind of work will AI Engineer Interns do at Softobiz?

Interns will contribute to production-grade agentic AI systems, focusing on multi-agent orchestration, context management, and Large Language Model (LLM) integration using technologies like LangGraph and Pydantic.

Is previous work experience required for this internship?

No, this internship is designed for freshers with 0-1 years of experience. Strong computer science fundamentals and problem-solving abilities are prioritized over extensive prior experience.

Where is the Softobiz AI Engineer Intern position located?

This internship is based in Kochi, Kerala, India.

Is there a possibility of a full-time role after the internship?

Yes, the internship is designed with the objective of converting successful interns into full-time AI Engineer roles at Softobiz.

What technical skills are most important for this role?

Essential skills include strong Data Structures and Algorithms (DSA), Python 3.10+ proficiency, and an eagerness to learn agent orchestration frameworks like LangGraph, context engineering, and LLM integration. Competitive programming experience is a strong plus.