AI & LLM Engineer (Mid–Senior)
1 week ago
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.
Responsibilities
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.
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.
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.
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.
Security & ReliabilityEnsure all AI outputs are explainable, safe, and auditable.
Implement prompt-injection defenses, sensitive data masking, and encryption.
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.
Requirements
Technical
- 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)
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