Softobiz AI Engineer Intern 2026

The Softobiz interview process typically starts with a timed online coding test focusing on DSA and Python. Candidates who clear this move to a technical interview where they discuss AI fundamentals, LangGraph workflow design, and LLM integration scenarios. The final HR round assesses cultural fit and communication skills. Overall difficulty is moderate to high, with emphasis on problem‑solving speed and clear articulation of AI concepts.

Softobiz promotes a learning‑first culture where engineers are encouraged to experiment and share both successes and failures. The company offers flexible working hours, a supportive mentorship program, and regular tech talks that foster rapid skill growth. Employees report a balanced work‑life environment with clear pathways for career advancement.

Pursuing or recently completed B.Tech/B.E./M.Tech/MCA in Computer Science or a related field; final‑year students or recent graduates; strong grasp of data structures, algorithms, and problem‑solving; hands‑on experience with Python 3.10+; no minimum percentage specified; no active backlogs allowed at the time of joining.

Round 1: Online coding test (DSA & Python) → Round 2: Technical interview (AI concepts, LangGraph, LLM integration, system design) → Round 3: HR interview (fit, communication, career goals)

Softobiz is an emerging technology services firm headquartered in Kochi, Kerala, focused on delivering AI‑driven solutions to enterprises across India. The company blends deep domain expertise with cutting‑edge research in large language models, multi‑agent orchestration, and retrieval‑augmented generation. Over the past few years, Softobiz has built a reputation for rapid product delivery, a culture of continuous learning, and a collaborative environment where engineers are encouraged to experiment with the latest AI frameworks. The firm’s portfolio includes intelligent chat‑bots, automated document processing pipelines, and AI‑enhanced developer tools, all of which are deployed on cloud platforms such as Azure and AWS. The AI Engineer Intern role is a hands‑on, mentored internship designed to give fresh graduates real‑world exposure to production‑grade agentic AI systems. Interns will work side‑by‑side with senior AI engineers on building, testing, and scaling multi‑agent workflows using LangGraph and Python. The internship emphasizes strong fundamentals in data structures, algorithms, and clean Python code, while also introducing participants to advanced concepts like context engineering, model routing, and durable AI workflows. Successful interns may be offered a full‑time AI Engineer position based on performance and business needs. Key responsibilities include: 1. Design and implement multi‑agent pipelines with LangGraph, handling branching, loops, retries, and human‑in‑the‑loop checkpoints. 2. Develop context‑engineering modules to manage token budgeting, summarization, and layered context selection. 3. Integrate LLM providers (OpenAI, Anthropic, Azure OpenAI) and craft prompt‑engineering strategies. 4. Build retrieval pipelines using vector stores such as Qdrant and Azure AI Search, including embedding generation and relevance ranking. 5. Implement model‑routing logic to select optimal LLMs based on latency, cost, and quality. 6. Create evaluation and error‑analysis frameworks to measure reliability and guide iterative improvements. 7. Apply Pydantic v2 and JSON Schema for typed contracts and output validation. 8. Contribute to durable workflow implementations using Temporal for long‑running tasks. 9. Participate in code reviews, design discussions, and knowledge‑sharing sessions. 10. Document architecture, experiments, and findings in a clean GitHub repository. The tech stack spans Python 3.10+, async programming, LangGraph, Pydantic, vector databases, MCP, Temporal, and vLLM. Growth prospects include a clear path from intern to full‑time AI Engineer, exposure to end‑to‑end AI product development, and mentorship from industry experts. Joining Softobiz offers the chance to work on state‑of‑the‑art AI systems, gain production experience early in your career, and become part of a fast‑growing, innovation‑centric team.