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# Senior Software Engineer (AI / LLMs)

- **Company:** APIPHANI, INC.
- **Location:** Boston, MA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $120,000.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Cloud Computing, Cloud Engineering, Code Review, Continuous Integration, Data Security, DevOps, Github, Information Technology Operations, Python (Programming Language), PostgreSQL, Machine Learning, Open Source Technology, OpenAI, Search Technologies, SQL Databases, Systems Integration, TypeScript, Datadog, AWS Cdk, Pinecone, Qdrant, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Backend, Agentic-AI, Event Driven Architecture, Pgvector, Infrastructure Automation Frameworks, Machine Learning Operations, Cloudwatch, Terraform, Dynatrace, Automation Anywhere, Docker, Microservices
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25304_fee14fe7b149803eec4ef4e47907bc81

## About the Role

* 6+ years of backend engineering experience in production environments

 * Strong proficiency in Python and TypeScript for building distributed, event-driven systems

 * Deep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch, etc.)

 * Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI models

 * Familiarity with vector databases and concepts like embeddings, similarity search, and retrieval-augmented generation

 * Experience with infrastructure-as-code tools such as Terraform or AWS CDK

 * Understanding of SQL and schema migration workflows (PostgreSQL or similar)

 * Hands-on experience with Docker, GitHub Actions, and cloud-native CI/CD workflows

 * Ability to diagram systems, communicate architecture decisions clearly, and work asynchronously in a distributed team

 * Strong sense of ownership and ability to deliver in fast-moving, ambiguous environments

Bonus Points

 * Experience working with LangChain, OpenAI, or Anthropic APIs

 * Familiarity with agentic frameworks or AI orchestration systems

 * Background in observability or APM tooling (e.g., Datadog, Dynatrace)

 * Prior experience building automation or infrastructure management tools

 * Contributions to open-source LLM or MLOps projects

 * Interest in shaping how AI is applied to real-world IT operations

## Description

* Design and implement backend services that enable intelligent agent workflows and autonomous infrastructure actions

 * Develop APIs and orchestration layers in Python and TypeScript, integrating LLMs, vector databases, and observability pipelines

 * Build scalable systems to support LLM-based reasoning, retrieval, and decision-making across cloud infrastructure

 * Integrate with AWS Bedrock and other LLM platforms to support multi-model capabilities

 * Develop data access and semantic search layers using vector databases (e.g., pgvector, Pinecone, Qdrant)

 * Build robust monitoring, testing, and CI/CD systems to ensure reliability and reproducibility of AI workflows

 * Collaborate closely with the product and DevOps teams to design architecture diagrams, plan deployments, and monitor system health

 * Write clean, maintainable code with clear documentation and strong adherence to security and performance best practices

 * Participate in code reviews, design discussions, and iterative delivery cycles to improve product velocity and quality