Overview
Remote
Depends on Experience
Contract - W2
Skills
Bedrock
Sagemaker
RAG
LLM
Job Details
Title: AI Software Engineer (BEDROCK & SAGEMAKER)
Location: 100% Remote
Duration: 6-12+ Months with possible extensions
Technical Skills - Must Have
- Demonstrated experience engineering RAG pipelines and building chatbot applications using LLMs
- Familiarity with semantic search and embedding models, including OpenSearch and FAISS.
- Hands-on experience with MLOps practices, including model training, deployment, monitoring, and lifecycle management
- Proficiency with AWS services including SageMaker, Bedrock, Lambda, ECS, EKS, and Step Functions
- Software engineering experience, with a strong focus on Python or GoLang
Nice To Have
- Awareness of data privacy and compliance best practices (e.g., secure model deployment, PII handling)
- Experience with AWS Step Functions for orchestrating AI workflows
- Hands-on experience fine-tuning large language models for domain-specific tasks
- Strong understanding of text preprocessing techniques in NLP pipelines
Job Description -
Job Summary
We are seeking a highly motivated and technically skilled AI Engineer to join our growing team. The ideal candidate will have a solid background in software development and hands-on experience designing and building agentic workflows. This role offers an exciting opportunity to work on cutting-edge AI systems and contribute to the development of intelligent, autonomous solutions that drive business value.
Duties and Responsibilities
- Design, build, and maintain agentic workflows and autonomous systems
- Develop and integrate AI models into production-grade applications
- Collaborate with cross-functional teams to gather requirements and deliver AI-driven solutions
- Implement orchestration logic for multi-agent systems and task automation
- Write clean, scalable, and maintainable code in support of AI initiatives
- Monitor and optimize the performance of AI systems in production
- Stay current with advancements in AI, LLMs, and agentic architectures
Requirements and Qualifications
- Strong software development skills with proficiency in Python or similar languages
Practical prompt engineering & prompt lifecycle management (versioning, regression testing). - Experience designing and building agentic workflows or multi-agent systems
- Familiarity with orchestration frameworks (e.g., LangChain, AutoGen, CrewAI, or similar)
- Solid understanding of AI/ML concepts, including LLMs and prompt engineering
- Hands-on experience with cloud platform AWS
- Knowledge of APIs, microservices, and system integration
- Excellent problem-solving and communication skills
- Bachelor s degree in Computer Science, Engineering, or a related field (or equivalent experience)
Nice to Have (Differentiators)
AWS & Platform:
- Bedrock Knowledge Bases, Agents, Guardrails early adoption / integration patterns.
- Amazon Q or similar copilots in internal tooling contexts.
- Hybrid retrieval (BM25 + vector fusion, rerankers) or experimentation with multivector approaches.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.