Interesting Job Opportunity: Software Engineer - Generative AI

Description

• Design and build low-latency AI/ML models for trading signals, market trend prediction, and fraud detection.
• Fine-tune and deploy open-source LLMs (Llama 3, Mistral, Gemma) for market-aware RAG (Retrieval-Augmented Generation) and AI-driven advisory systems.
• Architect and maintain serverless AI pipelines on AWS using SageMaker, Lambda, Fargate, and Bedrock.
• Build and optimize ETL pipelines for high-frequency financial and tick data using AWS Glue and Athena.
• Develop scalable, production-ready GenAI workflows using LangChain, vector databases, and retrieval systems.
• Ensure SEBI-compliant, privacy-preserving, and secure ML pipelines aligned with financial regulations.
• Collaborate closely with product, trading, compliance, and engineering teams to deliver high-impact AI solutions.
• Monitor model performance, latency, drift, and continuously improve system reliability.

Required Skills & Qualifications

• 26 years of hands-on experience in AI/ML, Data Science, or GenAI engineering roles.
• Strong programming skills in Python and SQL.
• Hands-on experience with PyTorch, Hugging Face Transformers, and GenAI frameworks.
• Practical experience with LLM fine-tuning techniques such as LoRA and QLoRA.
• Strong understanding and implementation experience of RAG architectures.
• Experience working with vector databases such as Qdrant or Milvus.
• Solid understanding of real-time or near real-time data processing systems.
• Strong experience with AWS services: SageMaker, Bedrock, Lambda, S3, ECR, Fargate.
• Knowledge of financial markets, trading systems, or fintech workflows is highly desirable.

Tech Stack

• LLMs & GenAI: Llama 3, Mistral, Gemma, LangChain
• Fine-Tuning: LoRA, QLoRA
• Languages: Python, SQL (Bonus: C++)
• ML Frameworks: PyTorch, Transformers
• Vector DBs: Qdrant, Milvus
• Cloud: AWS (SageMaker, Bedrock, Lambda, S3, Glue, Athena, ECR, Fargate)

Nice To Have/Bonus Skills

• Experience with C++ and latency optimization for real-time systems.
• Prior exposure to trading systems, stockbroking, or financial compliance platforms.
• Contributions to open-source AI/ML projects.
• Understanding of market microstructure and high-frequency data pipelines.

Why Join SMC Group ?

• Work on high-impact AI systems used in real trading and advisory platforms.
• Opportunity to build production-grade GenAI solutions in a regulated fintech environment.
• Exposure to cutting-edge open-source LLMs and cloud-native AI architectures.
• Collaborative, innovation-driven engineering culture (ref:hirist.tech)