AI Engineer - Agentic Trading Systems

Glitter Technology Ventures Pvt. Ltd. ( www.glitterlabs.com ) is hiring a AI Engineer - Trading Agents to build AI-native systems at the intersection of Edge AI, Vertical AI, and large-scale software and content generation . We're looking for someone who builds production systems, not prototypes . Someone who can take a problem from ambiguity to architecture to deployment without waiting to be told what to do next. If you think in systems, care about performance, and take ownership seriously, keep reading. About the Role This is a hands-on, high-ownership engineering role at the intersection of AI systems and financial markets. You will work directly with founders and core engineering to design and build production-grade agentic systems that power autonomous trading workflows, from market signal ingestion to execution-ready decision pipelines. With 4+ years of experience, you are expected to: Operate independently with minimal hand-holding Make sound architectural decisions under real constraints Deliver clean, scalable, maintainable systems that handle live market data We move fast. Deadlines are real. Quality is non-negotiable. Location Remote, India Nagpur, MS, India (local candidates preferred) We work in person, remote, or hybrid for speed, clarity, and tight feedback loops. What You Will Do Design and build production-grade agentic AI systems for autonomous trading workflows Develop multi-agent architectures that ingest market signals, reason over data , and generate actionable outputs Build and maintain LLM-powered research and analysis pipelines for financial decision support Architect real-time systems for market data processing , signal generation , and execution integration Integrate with brokerage APIs, market data providers, and financial data SDKs Own services end-to-end, design, build, deploy, monitor, and iterate Collaborate directly with founders on system architecture and technical direction Responsibilities Build agentic systems that operate reliably under live market conditions , not demo environments Design and implement multi-agent orchestration frameworks for trading research and signal workflows Write clean, modular , well-documented code that other engineers can reason about Ensure performance, latency, and observability across data ingestion and agent decision pipelines Integrate risk controls , guardrails, and human-in-the-loop checkpoints into agentic workflows Take full ownership of projects and deliver on deadlines without needing to be chased Proactively identify bottlenecks and failure modes before they become production incidents Skills We're Looking Strong programming skills in Python (required); Go or Rust a strong plus Agentic AI system design, tool use, memory, planning, orchestration LLM integration patterns: function calling, structured outputs, retrieval-augmented generation Backend architecture and distributed systems fundamentals API design and third-party integration Multi-agent frameworks, LangGraph , CrewAI , AutoGen , or equivalent Production LLM deployments and prompt engineering at scale Real-time or streaming data pipelines (Kafka, Redpanda, or similar) Database design across SQL and NoSQL Agentic tooling such as Hermes Agent, DeerFlow , or OpenClaw F inancial markets, trading concepts, or brokerage API integrations ( Alpaca , Tradier , Interactive Brokers) Market data providers and financial data normalization Risk management logic within automated systems Exposure to cloud platforms (AWS, GCP, or Azure) Open-source contributions or a strong GitHub profile demonstrating agentic or AI systems work Experience 5+ years of hands-on software engineering experience Demonstrated experience building and shipping agentic or LLM-powered systems in production Prior exposure to financial systems, quant workflows , or algorithmic trading is a strong advantage Experience in startup or fast-paced environments preferred Track record of owning and delivering end-to-end projects with measurable outcomes Qualifications Bachelor's or Master's in Computer Science, Engineering, Mathematics, or a related field Equivalent practical experience accepted if output is strong, working systems, clean code, and clear technical writing speak louder than credentials Active engagement with the AI and LLM ecosystem is an expected baseline, not a differentiator Why Join Us Build at the frontier of AI and financial systems engineering High ownership from day one, you will design systems, not just implement tickets Work directly with founders on architecture and product direction No bureaucracy, no slow approval cycles, no performative process Real systems, real market data , real users, real impact The fastest path to deep expertise in agentic AI applied to one of the most demanding domains that exists Most engineers follow specs. We're looking for engineers who define them . If that sounds like you, let's talk. Note: Please answer the questions in the application form using the STAR (Situation, Task, Action, Result) format. Be specific, concise, and quantify impact wherever possible. We read these responses carefully and use them to understand how you think, execute, and create meaningful outcomes.