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Encore Talent Solutions
Encore Talent Solutions

Cloud AI Software Engineer

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

N/A

Tech stacks

AI
Amazon
Cloud
+32

Permanent role
2 days ago
Apply now

Encore Talent Solutions is currently seeking a Cloud AI Software Engineer for a position that can work remotely.

We are hiring a Cloud AI Software Engineer who has experience building AI/ML applications. You will operate as a trusted advisor in a hands-on capacity for the development of retrieval-augmented generation (RAG) systems, fine-tuning LLMs, and AWS-native microservices that drive automation, insight, and governance in an enterprise environment.

DUTIES AND RESPONSIBILITIES:

  • Design, develop, and maintain modular AI services on AWS using Lambda, SageMaker, Bedrock, S3, and related components—built for scale, governance, and cost-efficiency.
  • Lead the end-to-end development of RAG pipelines that connect internal datasets (e.g., logs, S3 docs, structured records) to inference endpoints using vector embeddings.
  • Design and fine-tune LLM-based applications, including Retrieval-Augmented Generation (RAG) using LangChain and other frameworks.
  • Tune retrieval performance using semantic search techniques, proper metadata handling, and prompt injection patterns.
  • Collaborate with internal stakeholders to understand business goals and translate them into secure, scalable AI systems.
  • Own the software release lifecycle, including CI/CD pipelines, GitHub-based SDLC, and infrastructure as code (Terraform).
  • Support the development and evolution of reusable platform components for AI/ML operations.
  • Create and maintain technical documentation for the team to reference and share with our internal customers.
  • Excellent verbal and written communication skills

REQUIRED KNOWLEDGE, SKILLS, AND ABILITIES:

  • Strong experience building AI/ML applications.
  • Demonstrated contributions to open-source AI/ML/Cloud projects, with either merged pull requests or public repos showing real usage (forks, stars, or clones).
  • Direct, hands-on development of RAG, semantic search, or LLM-augmented applications, using frameworks and ML tooling like Transformers, PyTorch, TensorFlow, and LangChain
  • Strong expertise with AWS services, especially Bedrock, SageMaker, ECS, and Lambda.
  • Proven experience fine-tuning large language models, building datasets, and deploying ML models to production.
  • Demonstrated success delivering production-ready software with release pipeline integration.

NICE-TO-HAVES:

  • Policy as Code development (i.e., Terraform Sentinel) to manage and automate cloud policies, ensuring compliance
  • Experience optimizing cost-performance in AI systems (FinOps mindset).
  • Awareness of data privacy and compliance best practices (e.g., PII handling, secure model deployment).
  • Demonstrated experience with AWS organizations and policy guardrails (SCP, AWS Config).

Encore Talent Solutions is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills, and experiences within our workforce.

About Encore Talent Solutions

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