CRM Executive (Voice Process)

Software Engineer, Low-Latency Systems

• Employment Type: Full-time
• Experience Level: senior-level (7–10 years)

About the Role

We are hiring a Software Engineer, Low-Latency Systems to design and optimize the core infrastructure powering our algorithmic trading systems. In this role, you will work on latency-critical execution paths where nanoseconds, cache lines, memory layout, and network behavior matter.

This is a hands-on engineering position for someone who enjoys building high-performance systems and reasoning deeply about correctness, throughput, and tail latency. Prior trading domain experience is helpful but not required—we value engineering depth and systems thinking above all else.

What You’ll Do (Responsibilities)

• Build Core Infrastructure: Design, develop, and maintain low-latency components including order routing, market data handling, and execution pipelines.
• Optimize Performance: Profile and optimize critical code paths to minimize throughput and tail latency.
• Collaborate Across Teams: Work closely with quant and trading teams to translate complex strategy requirements into highly efficient infrastructure primitives.
• Drive System Design: Contribute to architectural decisions around threading models, memory layout, and network stack configurations.
• Ensure Reliability: Improve observability and operational performance across trading infrastructure. Participate in on-call rotations, incident response, and post-mortems to keep systems running smoothly.

What We’re Looking For (Requirements)

• Experience: 7 to 10 years of professional experience in systems engineering, with a demonstrable focus on low-latency systems or high-performance computing (HPC).
• Language Proficiency: Strong, production-level proficiency in Rust and/or C++.
• Systems Depth: Comfort reasoning about memory management, lock-free data structures, compiler behavior, and CPU-level performance.
• Tooling: Experience using Linux performance tooling such as perf, flamegraphs, strace, or similar tools.
• Networking Fundamentals: Solid understanding of network stack behavior, including TCP, UDP, multicast, and kernel bypass.
• Problem Solving: Ability to debug complex production issues and optimize systems under real-world constraints.

Nice to Have (Bonus Points)

• Prior exposure to trading systems, market data feeds, or exchange connectivity.
• Familiarity with financial market protocols (e.g., FIX, ITCH, OUCH).
• Experience with low-latency networking technologies like DPDK, RDMA, or kernel bypass.
• Familiarity with co-location environments and latency-sensitive infrastructure.

Culture & Fit

We are looking for an engineer who takes ownership, thrives in ambiguous and fast-moving environments, and holds an incredibly high bar for correctness and performance. If you love drilling down into the lowest levels of software to squeeze out maximum efficiency, we want to hear from you.

Job Role: AI/ML Intern (LLMs & Agent Systems)

Location: Bangalore, India (On-site)

Duration: 6 Months

Company Overview:

IAI Solution Pvt Ltd operates at the edge of applied AI where foundational research meets real-world deployment. We craft intelligent systems that think in teams, adapt with context, and deliver actionable insight across domains.

We’re currently seeking passionate and skilled AI/ML Interns who are eager to contribute to real-world AI development, have hands-on experience with model fine-tuning, and are adept in prompt engineering. If you're ready to work on impactful projects and expand your expertise in AI, we’d love to hear from you.

Position Summary: We’re an AI/ML research-driven team focused on building intelligent AI Agents and RAG-based systems for real-world applications in finance, business, and personal assistance.

Our work combines applied research and fast-paced product development to create powerful, modular AI systems that think, reason, and act.

About the Role

As an AI/ML Intern, you’ll work closely with our core AI/ML team on projects involving LLMs, retrieval systems, and agentic reasoning.

You’ll contribute to experiments, data preparation, model evaluation, and prototype development, gaining exposure to both research concepts and production-level AI systems.

Key Responsibilities

• Assist in building and evaluating LLM- and agent-based pipelines (RAG, reasoning, tool use, etc.).
• Conduct small-scale experiments and contribute to prompt design and prompt evaluation.
• Help integrate LLMs with APIs, databases, and internal tools.
• Explore and document recent AI agent frameworks and LLM techniques.
• Collaborate with backend engineers to test and deploy prototypes.

Requirements

• Strong foundations in Machine Learning and Deep Learning concepts.
• Good understanding of LLM fundamentals - tokenization, embeddings, attention, context, etc.
• Some exposure to Prompt Engineering and reasoning patterns like Chain of Thought or ReAct.
• Experience in Python and libraries like PyTorch, NumPy, Pandas.
• Familiarity with Git/GitHub for version control.
• Curiosity and ability to learn quickly in a research-focused environment.

Preferred Qualifications

• Experience with Hugging Face Transformers/Datasets.
• Exposure to RAG systems and vector databases (Qdrant, Pinecone, Weaviate, Chroma).
• Awareness of LangChain, LangGraph, or other LLM/Agent frameworks.
• Knowledge of Docker, Redis, or basic database usage (PostgreSQL/MongoDB).
• Understanding of OpenAI, Anthropic, Ollama, or other model inference APIs.

What We Value

Curiosity, ownership, clarity of thought, and an understanding of why systems work the way they do, not just how to use them.

Perks

• Hands-on experience with real-world AI deployments.
• Work with state-of-the-art AI tools and platforms.
• Mentorship from top AI engineers and researchers.
• Flexible, innovation-driven work culture.

Key Tasks & Accountability:

• Collaborate with development teams and product managers to create innovative software solutions.
• Able to develop entire architecture, responsive design, user interaction, and user experience.
• The ability to use databases, proxies, APIs, version control systems, and third-party applications.
• Keep track of new development-related tools, frameworks, methods, and architectures.
• The developer is in charge of creating APIs depending on the architecture of the production application.
• Keeping up with the latest advancements in programming languages and server apps.

Skills:

• Comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries.
• Knowledge of React, Redux and API Integration.
• Experience with backend technology like NodeJs, Microservices, MVC Framework and Data Base connection.
• Knowledge on SQL/NoSQL such as MySql, mongoDB.
• Knowledge of cloud such as AWS.
• Team player with a knack for visual design and utility.

Strong knowledge of PHP web frameworks such as Core PHP, CodeIgniter, Yii, Laravel.

- Strong knowledge of open source platforms like WordPress

- Strong Knowledge in Mysql Database. Analyze, Create, and Normalize databases independently.

- Understanding the fully synchronous behavior of PHP

- Understanding of MVC design patterns

- Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3

- Knowledge of object-oriented PHP programming

- Strong in Javascript, Ajax, Jquery.

- Knowledge of Apache Server and Linux.

- Knowledge of XML, HTML, HTML5, XHTML, CSS

- Should be able to handle the project independently.

- Can understand and work on running projects.

- Can be able to handle multiple projects simultaneously.

- Optimization and performance

Responsibilities and Duties

Working on the live project and client communication