Energy Jobline ZR
Senior Software Engineer (AI / LLMs) in Boston
Energy Jobline ZR, Boston, Massachusetts, us, 02298
Senior Software Engineer — Agentic AI Platform
Location: Remote | Full-time | Competitive Compensation
Apiphani is building the future of intelligent infrastructure automation through agentic AI. We're looking for a Senior Backend Engineer to help design and build the systems that power Luumen — an AI-driven automation platform used by enterprise IT and managed service providers around the world.
This is a high-impact, zero-to-one engineering role focused on building the backend foundations for large-scale AI orchestration. You'll work on distributed systems that combine traditional infrastructure automation with large models (LLMs), retrieval-augmented (RAG), and intelligent agents.
Apiphani is dedicated to creating a diverse and inclusive work environment for all as a fundamental component of our business. and are the bedrock of creativity and innovation. Without of experience and thought, we would fail to progress as a company and as a team. Apiphani strives to foster an environment of belonging, where every employee feels respected, valued, and empowered. We embrace the unique experiences, perspective, and cultural background, which only you can bring to the table.
What You'll Do
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
What We're Looking For
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
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‑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
Why Join Apiphani You’ll be joining a globally distributed, high-performing team focused on redefining how enterprises manage infrastructure. Every feature you build will directly impact how engineers interact with intelligent systems in production environments.
This is an opportunity to help architect the foundations of a platform that blends
infrastructure automation, AI, and agentic reasoning
— where your technical decisions will shape the next of enterprise operations.
Base Salary $120,000—$160,000 USD
Medical/dental/vision - 100% paid for employees, 50% paid for dependents
Life and disability - 100% paid for employees
401K - 3% contribution, no employee contribution necessary
Education and tuition reimbursement - up to $50K annually
Employee Stock Options Plan
Accident, critical illness, hospital indemnity benefits offered through our providers
Employee Assistance Program
Legal assistance
Paid Time Off - up to 6 weeks per year
Sick Leave - up to 2 weeks per year
Parental Leave - up to 12 weeks
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
#J-18808-Ljbffr
Apiphani is building the future of intelligent infrastructure automation through agentic AI. We're looking for a Senior Backend Engineer to help design and build the systems that power Luumen — an AI-driven automation platform used by enterprise IT and managed service providers around the world.
This is a high-impact, zero-to-one engineering role focused on building the backend foundations for large-scale AI orchestration. You'll work on distributed systems that combine traditional infrastructure automation with large models (LLMs), retrieval-augmented (RAG), and intelligent agents.
Apiphani is dedicated to creating a diverse and inclusive work environment for all as a fundamental component of our business. and are the bedrock of creativity and innovation. Without of experience and thought, we would fail to progress as a company and as a team. Apiphani strives to foster an environment of belonging, where every employee feels respected, valued, and empowered. We embrace the unique experiences, perspective, and cultural background, which only you can bring to the table.
What You'll Do
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
What We're Looking For
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
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‑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
Why Join Apiphani You’ll be joining a globally distributed, high-performing team focused on redefining how enterprises manage infrastructure. Every feature you build will directly impact how engineers interact with intelligent systems in production environments.
This is an opportunity to help architect the foundations of a platform that blends
infrastructure automation, AI, and agentic reasoning
— where your technical decisions will shape the next of enterprise operations.
Base Salary $120,000—$160,000 USD
Medical/dental/vision - 100% paid for employees, 50% paid for dependents
Life and disability - 100% paid for employees
401K - 3% contribution, no employee contribution necessary
Education and tuition reimbursement - up to $50K annually
Employee Stock Options Plan
Accident, critical illness, hospital indemnity benefits offered through our providers
Employee Assistance Program
Legal assistance
Paid Time Off - up to 6 weeks per year
Sick Leave - up to 2 weeks per year
Parental Leave - up to 12 weeks
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
#J-18808-Ljbffr