ML Prompt Engineer

Job Description

Job Opportunity: ML Prompt Engineer Location: Bangalore (Hybrid) Experience: 5 to 12 Years Job Type: Full-Time CTC & Client: Will be discussed during the call Job Title: Principal Developer ML/Prompt Engineer Technologies: Amazon Bedrock, RAG Models, Java, Python, C/C++, AWS Lambda Responsibilities: -Develop, deploy, and maintain RAG models integrated with Amazon Bedrock. -Leverage models like Anthropic Claude to build scalable and secure GenAI applications. -Design intelligent prompts to improve the accuracy, alignment, and reliability of LLM outputs. -Build reusable prompt templates, libraries, and chains to accelerate GenAI development. -Collaborate with cross-functional teams to ensure application effectiveness and business alignment. -Monitor model performance, implement evaluations (manual & automated), and conduct A/B testing. -Address prompt injection risks and implement effective mitigation strategies. -Utilize DevOps tools, CI/CD pipelines, and agile methodologies for smooth deployment and integration. -Stay updated with advancements in LLM architectures, prompt engineering, and AI tooling. Required Skills & Qualifications: -5–12 years of experience in AI/ML or full-stack development environments. -Proficiency in Java, Python, or C/C++. -Hands-on experience with Amazon Bedrock, AWS Lambda, or similar cloud platforms (SageMaker, Comprehend). -Deep understanding of RAG architecture or tools like Pinecone, Ragna, etc. -Strong grasp of prompt engineering techniques (zero-shot, few-shot, CoT, prompt tuning, chaining). -Experience with GenAI ecosystems: Anthropic, OpenAI, Hugging Face, TensorFlow, PyTorch. -Familiarity with prompt evaluation, A/B testing, and structured prompt workflows. -Exposure to DevOps tools and Git. -Agile/Scrum experience; excellent team collaboration and communication skills. Apply now or reach out to learn more OR mailCV to anzia.sabree@bct-consulting.com