Senior AI/ML Engineer

• AI Applications and Feature Development
  • Develop and refine LLM-based features such as chat, summarization, knowledge search, and data extraction
  • Apply prompt engineering techniques and support model fine tuning or parameter efficient tuning (e.g., LoRA)
  • Implement RAG (retrieval augmented generation) workflows including preprocessing, embedding generation, and vector search
• Model and Architecture Understanding
  • Work with transformer-based models; apply foundational understanding of attention, embeddings, and model behavior
  • Assist in model interpretability and improving reliability of model outputs
• AI Quality, Evaluation and Safety
  • Help improve accuracy by reducing hallucinations through prompting, guardrails, and retrieval improvements
  • Support benchmarking, evaluation tests, and quality checks
  • Contribute to Responsible AI practices
• Integration and Orchestration
  • Build services integrating AI APIs (OpenAI, Azure, open source LLMs)
  • Implement tool/agent orchestration flows with guidance from senior team members
  • Work with vector databases such as FAISS, Pinecone, or pgvector
• Performance and Optimization
  • Contribute to enhancements in latency, throughput, and token efficiency
  • Support implementation of model compression and quantization techniques
  • Develop caching and batching strategies to improve system performance
• Collaboration and Delivery
  • Work closely with product, data, and engineering teams to deliver high quality AI features

  • Participate in code reviews, team design discussions, and knowledge sharing

• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• Bachelor's or master's degree in computer science, Engineering, or a related field
• 5+ years of software engineering experience, including 1-2 years with generative AI or LLMs
• Experience building cloud-based applications (Azure, AWS, or GCP)
• Working knowledge of:
  • LLMs, prompt engineering, fine tuning basics, and RAG
  • Transformer architecture fundamentals (attention, embeddings)
  • Evaluation and safety concepts (hallucination reduction, quality checks)
  • AI integration using APIs, vector DBs, and orchestration frameworks
  • Token optimization and latency reduction strategies
• Proficiency in Python or TypeScript
  • Proven solid problem solving and collaborative skills