AI Engineer

About KVY TECH

KVY TECH is a high-performance software engineering studio that builds meaningful digital products for startups and enterprises across ecommerce, AI, and blockchain.

Our flagship platform,
Cerebro
, helps users track, analyze, and optimize crypto portfolios across multiple wallets, tokens, and protocols. Cerebro leverages machine learning, multi-agent LLM architectures (LangGraph), and real-time data pipelines to deliver smarter insights and personalized investment intelligence in the fast-moving crypto market. We are expanding our AI engineering team to shape the next evolution of Cerebro.

Responsibilities1. AI Recommendations & Modeling

• Design and implement recommendation algorithms for:
• Portfolio allocation
• Token selection
• Risk scoring and optimization
• Improve accuracy through backtesting, simulation, benchmarking, and user feedback loops.

2. LLM Engineering & LangGraph

• Build and optimize LangGraph-based
  multi-agent systems
  for:
• Portfolio analysis
• Chat-based financial reasoning
• Risk monitoring and alerting
• Implement efficient context management, retrieval pipelines, and token usage optimization.

3. Data Engineering, ETL & Real-Time Processing

• Develop robust ETL workflows and real-time pipelines for:
• Market data (L1/L2)
• On-chain events
• Derivatives & protocol analytics
• Social/sentiment data
• Ensure high-throughput, low-latency, accurate data ingestion for ML and agentic workflows.

4. Production-Grade AI Systems

• Build scalable AI/ML microservices deployed in cloud environments (AWS/GCP).
• Set up monitoring, logging, tracing, and alerting for high reliability.
• Work closely with backend teams to ensure smooth integration across Cerebro services.

5. Security & Reliability

• Ensure all AI outputs are explainable, safe, and auditable.
• Implement prompt-injection defenses, sensitive data masking, and encryption.

6. Collaboration, Professionalism & Ownership

• Communicate clearly with engineers, PMs, and product stakeholders.
• Write clear documentation and make thoughtful technical proposals.
• Demonstrate ownership: follow through on tasks, deliver reliably, and escalate issues early.
• Participate in knowledge-sharing and help raise KVY TECH's AI engineering bar.

RequirementsTechnical

• 3+ years in AI/ML engineering or backend engineering.
• Strong proficiency in Python, PyTorch, Hugging Face, and modern ML stack.
• Hands-on experience with LangGraph or similar agentic frameworks (LangChain, AutoGen, CrewAI).
• Deep experience with ETL pipelines, data processing, and real-time streaming systems.
• Proven track record of building scalable, production-grade AI/LLM systems.
• Experience with system design, distributed systems, and cloud deployments.
• Experience with recommendation systems, time-series modeling, or financial/crypto AI is a plus.

Professional & Communication Skills

• Excellent spoken and written communication — able to explain complex ideas clearly.
• Strong professionalism — reliable, proactive, organized, and accountable.
• Comfortable collaborating with cross-functional teams and external stakeholders.
• Capable of documenting work clearly (design docs, API specs, architecture notes).
• Able to manage time effectively and deliver consistently in a fast-moving environment.

Why KVY TECH:

• Competitive compensation
• Laptop and equipment available on request
• 15 days off annually
• Birthday off with a company gift
• Continuing education budget so you can keep learning outside of your day-to-day job
• Work with an exciting and growing company with lots of interesting technical problems
• Hybrid work option (after probation)