Gen AI Engineer

Hybrid in Boston, MA, US • Posted 3 hours ago • Updated 3 hours ago
Full Time
50% Travel Required
Hybrid
Depends on Experience
Company Branding Image
Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Job Details

Skills

  • Agentic AI
  • RAG
  • DevOps
  • python
  • AWS Bedrock

Summary

GenAI Platform Engineer

Boston, MA

Full-time role

Experience: 10+yrs

 

About the Role

We''''re looking for a Senior GenAI Platform Engineer to build and operate our enterprise AI agent platform — hands-on, in the code, every day. This is an individual contributor role with no direct reports. You''''ll design and build durable asynchronous orchestration, RAG pipelines, and secure multi-agent workflows on AWS, working alongside a small team of peer engineers. You''''ll participate in architecture discussions and code reviews as a strong technical contributor, not as a manager.

Education & Experience

  • Bachelor’s degree in computer science, Information Systems, Engineering, or equivalent practical experience.
  • 5–8 years of professional software engineering experience.
  • 2+ years of hands-on experience building GenAI/Agentic AI applications in production.

What You''''ll Do

  • Build AI agents and multi-agent workflows using Amazon Bedrock, Bedrock Agents, AgentCore, LangChain, and LangGraph.
  • Design and implement RAG pipelines, prompt engineering strategies, and AI guardrails.
  • Build backend services in FastAPI for agent submission, execution, lifecycle state machines, and status tracking.
  • Implement queue-based dispatch and durable state stores, ensuring idempotency, retries, and failure recovery.
  • Write Infrastructure as Code (Terraform) to provision and manage agent infrastructure on AWS.
  • Integrate agents with vector databases, enterprise messaging systems, and internal workflow tools.
  • Instrument services for observability — structured logging, tracing, metrics.
  • Participate in code reviews and architecture discussions as a peer contributor.
  • Write clear technical documentation (design docs, runbooks) for systems you build.

Required Qualifications

  • Expert-level Python, with strong experience building REST APIs (FastAPI preferred).
  • Hands-on experience with LLMs, Amazon Bedrock (Agents & AgentCore), LangChain, LangGraph, RAG, and vector databases.
  • Strong experience with core AWS services: Lambda, ECS/EKS, API Gateway, S3, RDS/PostgreSQL.
  • Working proficiency in Terraform and Docker.
  • Experience with CI/CD pipelines (GitHub Actions, GitLab CI, or Jenkins).
  • Solid understanding of asynchronous programming and event-driven architectures (Kafka or SQS).
  • Experience with modern authentication patterns (OAuth2, OIDC, JWT) and AWS IAM.

Technical skills

  • Programming: Python , FastAPI
  • Generative AI: Amazon Bedrock, Bedrock Agents, AgentCore, LangChain, LangGraph, Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Guardrails, Multi-Agent Systems
  • Vector Databases: Pinecone, Amazon OpenSearch Vector Engine, FAISS, ChromaDB, pgvector
  • Infrastructure as Code: Terraform, AWS CloudFormation (preferred exposure)
  • Containers & Orchestration: Docker
  • Databases: PostgreSQL, DynamoDB
  • Event-Driven Architecture: Amazon SQS, Apache Kafka
  • Authentication & Security: OAuth 2.0, OpenID Connect (OIDC), JWT, AWS IAM, Enterprise Identity Integration (Microsoft Entra ID)
  • CI/CD & DevOps:  Git, Automated Deployment Pipelines
  • Observability: AWS Observability
  • Software Engineering: System Design, Microservices Architecture, Backend Development, API Design, Code Reviews, Technical Documentation, Design Documents, Runbooks
  • Development Practices: Unit Testing, Integration Testing, Code Quality, Secure Coding Practices, Agile/Scrum

 

Preferred Qualifications

  • AWS Associate or Professional certification.

 

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.
  • Dice Id: 91089021
  • Position Id: 9069046
  • Posted 3 hours ago

Company Info

About DATAECONOMY

DATAECONOMY IS a fast-growing Data & Analytics company with a global presence headquartered in Dublin, OH with office in Providence, RI, and an advanced technology center in Hyderabad, India. DATAECONOMY is well recognized and are known for their thought leadership, out-of-the-box products, cutting-edge solution accelerators, innovative business use cases, and cost-effective service offerings.

DATAECONOMY focus on these six core competencies believing that these competencies put together create nimble data enterprises enabling them for better data monetization.


DATA ENGINEERING: We provide services and solutions ranging from data plumbing through data consumption using traditional and modern technologies on either on-prem or cloud.


DATA SCIENCE: We put heavy emphasis on advanced visual analytics using graph technologies while leveraging the AI/ML/NLP to powerup the business use cases.


CLOUD: We have partnerships with major cloud vendors and direct MSA with AWS to deliver their native data platform solutions. A notable offering here is our Data Platform Modernization Suite for quick cloud enablement.


DATA GOVERNANCE: At DATAECONOMY, we look at Data Governance as foundation for Data Monetization beyond compliance. We focus on operationalize the data governance as treat that as an organizational behavioral transformation.


DATAOPS Over the last decade, organizations have matured with their overall DevOps, but we still see lot of white spaces when comes to the DataOps. Our solutions and services address these white spaces while quickly bringing the data organizations catching up to enterprise DevOs.

BLOCKCHAIN: momentum has slowed down in adopting the blockchain across industries as success requires tremendous amount of cross organizational collaborations. We are now working to take our Data Mesh, Data Exchange solutions to Blockchain hoping future is all about sharing and exchanging data amongst the organizations.

Contact the job poster
LP

Lokesh Potnuri

Recruiter @ DATAECONOMY
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Hybrid in Boston, Massachusetts

Yesterday

Easy Apply

Full-time

Depends on Experience

Hybrid in New York, New York

28d ago

Easy Apply

Full-time

Depends on Experience

Hybrid in New York, New York

20d ago

Easy Apply

Full-time

Depends on Experience

Search all similar jobs