This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Binance Accelerator Program - AI Agent Observability Engineer based in India.
This 3–6 month accelerator opportunity is designed for students and recent graduates eager to build practical experience in software engineering and AI.
You will contribute to production-facing backend and full-stack systems while working alongside experienced engineers.
The role combines software development with the deployment, evaluation, and observability of AI and LLM-powered capabilities.
You will gain hands-on exposure to areas such as RAG pipelines, agent tooling, automated evaluation, monitoring, and performance optimization.
Your work will help improve the reliability, quality, and measurable performance of AI-enabled products and platforms.
The environment is fast-paced, global, collaborative, and highly autonomous, offering meaningful technical challenges from day one.
It is an opportunity to develop strong engineering fundamentals while building specialized expertise in AI agents and modern observability practices.
Accountabilities
- Contribute to backend and full-stack feature development, testing, and releases for core products and platforms, delivering production-ready code.
- Collaborate with senior engineers on module design, API and interface definitions, system integration, deployment, logging, monitoring, and performance optimization.
- Develop and maintain automated tests and CI/CD configurations to improve engineering efficiency, reliability, and code quality.
- Support the deployment of AI and LLM capabilities based on business requirements, including LLM API integrations, basic RAG pipelines, and agent or tool capabilities within existing systems.
- Help create and maintain datasets and benchmarks used for AI evaluation, regression testing, and quality measurement.
- Track online AI performance and assist with diagnosing, debugging, and resolving issues affecting deployed systems.
- Contribute to observability initiatives covering logging, monitoring, performance, and system health.
- Prepare technical documentation and communicate implementation details, findings, and progress effectively across teams.
- Participate in engineering best practices around version control, testing, debugging, deployment, and maintainable software development.
- Take ownership of assigned work, learn quickly, and contribute proactively to technical and product objectives.
Requirements
- Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical discipline.
- Strong software engineering fundamentals, including data structures and algorithms, object-oriented design, common design patterns, and coding best practices.
- Proficiency in Python is required, along with experience in at least one primary programming language. Java, Go, TypeScript, or JavaScript experience is a plus.
- Familiarity with Git, Linux fundamentals, debugging, unit and integration testing, RESTful APIs, and SQL or NoSQL databases.
- Some practical experience with AI/LLM projects or internships is sufficient; deep research experience is not required.
- Exposure to prompt engineering, function calling, RAG, vector databases, or frameworks such as LangChain or LangGraph is advantageous.
- Strong ownership mindset, analytical thinking, and willingness to learn new technologies quickly.
- Excellent communication and collaboration skills, with the ability to work effectively with senior engineers and cross-functional teams.
- Ability to commit to at least 6 months, 5 days per week.
- Experience shipping web or backend services is a plus, particularly with caching, message queues, concurrency, or performance tuning.
- Familiarity with Docker, Kubernetes, AWS, GCP, Azure, Prometheus, Grafana, or ELK is beneficial.
- Exposure to LLM evaluation, prompt iteration, data feedback loops, or basic fine-tuning workflows is an advantage.
Benefits
- 3–6 month accelerator/internship opportunity designed for current university students and recent graduates.
- Hands-on experience within a leading global blockchain and digital-assets ecosystem.
- Opportunity to work on innovative AI, LLM, agent, backend, and observability projects.
- Collaboration with experienced engineers and high-caliber global talent.
- Exposure to real-world production systems, engineering workflows, and modern AI technologies.
- Opportunities for networking, professional development, continuous learning, and career growth.
- Fast-paced, innovative environment with meaningful technical challenges and opportunities for autonomy.
- Competitive salary and company benefits, subject to applicable employment terms and local regulations.
- Work-from-home arrangement, depending on the nature and requirements of the business team.
- Inclusive and diverse working environment focused on equal opportunity.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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