Generative AI Application Engineer
Myridius x AethereusPune, Republic Of India, IN12 days ago
Job descriptionExtensive hands-on experience with AWS Bedrock (Claude, Titan, Llama models) Strong knowledge of AWS SageMaker, Lambda, S3, EC2, and other ML services Experience with cloud-based ML infrastructure and cost optimization Deep expertise in latest LLM technologies and foundation models Proven track record with RAG (Retrieval Augmented Generation) systems Advanced prompt engineering and fine-tuning experience Knowledge of vector databases (Pinecone, Weaviate, OpenSearch) Hands-on experience with any of the LangChain, LlamaIndex, AutoGen, Google ADK, or OpenAI SDK. Building multi-agent systems and autonomous AI workflows Tool integration and function calling implementations Strong foundation in machine learning algorithms and deep learning Experience with PyTorch, TensorFlow, Hugging Face Transformers MLOps practices : CI / CD, model versioning, monitoring, and governance Proficient in Python with clean, maintainable code practices API development (REST / GraphQL) and microservices architecture Version control (Git), containerization (Docker / Kubernetes) Excellent communication skills for client interactions and technical presentations Self-driven with ability to work independently and make architectural decisions Strong problem-solving mindset with business acumen Comfortable navigating ambiguity and driving projects to completion Experience with enterprise AI deployments and compliance requirements Knowledge of AI safety, responsible AI practices, and bias mitigation Contributions to open-source AI / ML projects Publication record or speaking engagements in AI / ML domain AWS certifications (ML Specialty, Solutions Architect) Opportunity to work on cutting-edge AI projects Direct client engagement and visibility Collaborative environment with innovation focus Professional development and certification support
About Us
Aethereus is now part of Myridius, formerly known as RCG Global Services. This strategic integration combines Aethereus’ expertise in cutting-edge solutions with Myridius’ legacy of delivering transformative business outcomes. At Aethereus, we are passionate about outcomes. We are a team of strategists, designers, architects and tinkerers who are passionate about business outcomes led by technology platforms.
We are a Salesforce boutique focused on US, Europe, Australia and India. We are one of the select few players who approach Salesforce engagements with twin focus on vertical specific and Industry 4.0 driven propositions. Our team of professionals have rich experience in Salesforce platform and deep connects in the Salesforce ecosystem and work on the cutting edge clouds, often closely with Salesforce. We are agile and nimble and constantly looking to deliver value to our clients - from rapid Salesforce implementations to improving the ROI from existing investments.
Experience Required
8-10 years in ML with recent experiences in AI engineering with focus on production-grade implementations.
Role Overview
We're seeking a seasoned AI / ML Engineer to architect and deploy advanced generative AI solutions using AWS Bedrock. You'll work independently with minimal supervision, engage directly with clients, and drive technical excellence in cutting-edge AI initiatives.
Key Responsibilities
- Design and implement production-ready generative AI solutions using AWS Bedrock and related services
- Build and deploy agentic AI frameworks and multi-agent systems
- Lead client-facing technical discussions, requirement gathering, and solution presentations
- Architect end-to-end ML pipelines from prototyping to production deployment
- Evaluate and integrate latest LLMs, RAG architectures, and prompt engineering techniques
- Mentor junior engineers and establish best practices for AI / ML development.
Required Skills
AWS & Cloud
Generative AI & LLMs
Agentic Frameworks
Core ML / AI
Software Engineering
Soft Skills
Preferred Qualifications
What We Offer
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Generative Ai Engineer • Pune, Republic Of India, IN
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