Senior Gen AI Engineer

Location: Onsite in Cambridge, Massachusetts, United States

Salary: $120,000–$150,000 per year, plus potential discretionary bonus.

Company

hirify.global is a strategic AI partner to Fortune 500 companies, building enterprise AI solutions to support human decision-making.

What you will do

• Design, build, and maintain scalable, secure, highly available GenAI platforms and AI-powered applications on AWS.
• Architect Agentic AI and multi-agent systems with tool integrations, function calling, MCP, and workflow orchestration.
• Develop enterprise RAG solutions using embeddings, vector databases, semantic search, reranking, and knowledge retrieval.
• Build reusable AI platform components, SDKs, APIs, accelerators, reference architectures, and knowledge-driven systems using vector stores, graph databases, and knowledge graphs.
• Create evaluation, benchmarking, governance, security, responsible AI, guardrail, compliance, observability, monitoring, tracing, and operational dashboard capabilities.
• Develop Python microservices and APIs, automate AWS infrastructure with Terraform and IaC, maintain CI/CD pipelines, collaborate across functions, and mentor junior engineers.

Requirements

• 8–10 years of software engineering experience, including at least 3+ years in GenAI or AI solution development.
• Strong hands-on experience building production-grade Generative AI solutions and expertise in Agentic AI, AI agents, multi-agent architectures, tool calling, function calling, orchestration, and MCP.
• Strong experience designing and implementing RAG architectures, including embeddings, vector databases, retrieval pipelines, reranking, and semantic search.
• Hands-on Amazon Bedrock experience covering foundation model integration, inference optimization, prompt engineering, and model orchestration.
• Deep understanding of LLMs, prompt engineering, evaluation, model selection, and deployment patterns.
• Strong Python proficiency for backend development, AI applications, and API implementation.
• Strong AWS experience with services including Bedrock, Lambda, ECS/EKS, API Gateway, S3, IAM, CloudWatch, DynamoDB, OpenSearch, and Step Functions.
• Experience with Terraform, IaC, APIs, microservices, Docker, Kubernetes, and CI/CD pipelines.
• Knowledge of AI observability, monitoring, tracing, telemetry, relational, NoSQL, vector and graph databases, security, governance, compliance, and responsible AI frameworks.
• Strong communication, stakeholder management, analytical, collaboration, ownership, documentation, mentoring, technical leadership, and independent problem-solving skills in a fast-paced client-facing environment.

Nice to have

• LangChain, LangGraph, Semantic Kernel, LlamaIndex, OpenAI Agents SDK, or similar agent frameworks.
• Amazon OpenSearch, Pinecone, Weaviate, Chroma, FAISS, or similar vector database technologies.
• OpenTelemetry, Langfuse, Arize Phoenix, MLflow, Grafana, Prometheus, or CloudWatch Observability.
• Neo4j and knowledge graph technologies.
• Distributed systems, scalable platform engineering, MLOps, LLMOps, AI deployment pipelines, fine-tuning, model evaluation, and AI benchmarking experience.

Culture & Benefits

• Full-time employment with health, dental, vision, life insurance, and disability benefits from the first day.
• 401(k) eligibility after 30 days of employment.
• 11 paid holidays, 12 weeks of parental leave, and a flexible free-time PTO policy for vacation or sick time.
• Performance-based discretionary bonus eligibility.
• Equal employment opportunity and a diverse, collaborative, client-facing environment.