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.