GoComet is Hiring for Fullstack AI Engineer Role. All the Candidates who completed Bachelor’s Degree are eligible. Interested Candidates can read the following Details and Apply for this role.
Job Description
- Company Name: GoComet
- Job Role: Fullstack AI Engineer
- Qualification: Bachelor’s or Master’s Degree
- Location: Bengaluru
- Batch: 2022-2026
- Experience: Freshers (0-4 yrs)
- Salary: Upto 6.3 LPA (Expected)
- Last Date: As soon as possible.
Job Role & Responsibilities
- Build real things. You’ll write production code across the full stack. React frontends, Python/Node backends, ClickHouse queries, Kafka event pipelines, LangGraph agent workflows, and YAML-driven process definitions. Not prototypes. Not demos. Stuff that runs in production for real companies moving real cargo across real oceans.
- Talk to enterprise clients. You’ll sit across from logistics managers, freight forwarders, and operations leads. You’ll listen to their messy, exception-filled processes: 6 approval levels, 4 document types and 3 systems that don’t talk to each other and turn that chaos into structured workflows they can actually use. This isn’t optional. It’s the job.
Eligibility Criteria
- Experience: fresher (0-4 yrs)
- Degree: Strong data analytical skills related to visualization tools (Power BI, PowerApps, etc.).
Skills: - Frontend: React, React Flow (node-based graph editors).
- Backend: Python, Node.js, FastAPI.
- Data: ClickHouse, Kafka (event streaming), Debezium (CDC).
- AI/ML: LangGraph (agent orchestration), LLMs (prompt engineering, RAG, tool use),
PREFERRED SKILLS
- Intellectually curious, eager to learn new things with an eye towards innovation
- Strategic, able to focus on business goals
- Excellent, at solving unstructured problems independently
- Highly organized, able to prioritize multiple tasks
- Strong, communicators able to build relationships with key stakeholder
- Problem Solving mindset.
ABOUT COMPANY
GoComet is being used by enterprises across industries, combining the power of data science with progressive machine intelligence to maximise savings and make logistics management efficient and fast.
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