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Seasonal Python Django Backend Developer Jobs in Connecticut

BMG360

Agentic Solutions Engineer

Shelton, CT

$130K/yr

BACKEND ENGINEERING -- DJANGO * Build and extend Django-based backend services that power internal ... Write Python integrations with LLM providers (Anthropic, AWS), marketing platform APIs (Meta ...

New

Saransh Inc

Back End Engineer

Hartford, CT · On-site

We are looking for a highly motivated and skilled Back-End Engineer with expertise in Python, FastAPI, and AWS cloud services to join our engineering team. This role focuses on building and deploying ...

Tata Consultancy Service Limited

Engineer

Stamford, CT · On-site

$70K - $75K/yr

... Django, Flask, or Spring Boot Write clean, efficient, and reusable code using Java ... Python, or JavaScript/TypeScript Support backend development, API creation, and database ...

Sensiple Inc.

Lead Python Developer

Hartford, CT · Remote

$141K - $173K/yr

Lead Python Developer Location: Hartford, Connecticut, United States (Can try remote too) Contract ... Integrate frontend and backend components with FastAPI services that provide alerts anomaly scores ...

Deloitte

CyberArk Senior Consultant

Hartford, CT

Experience with at least one backend technology stack: Node.js, Python (Django or Flask), or Java ... Bachelor's degree in computer science , Engineering, Information Technology, Data Science, Applied ...

Deloitte

CyberArk Senior Consultant

Stamford, CT

Experience with at least one backend technology stack: Node.js, Python (Django or Flask), or Java ... Bachelor's degree in computer science , Engineering, Information Technology, Data Science, Applied ...

Ritchie Bros.

Senior Staff Software Engineer

Norwalk, CT · On-site

$155K - $194K/yr

Architect and develop high-concurrency backend services in Python (FastAPI/Django) to handle core ... Tool Engineering for Agents : Design and implement "Agent-Ready" APIs using Pydantic for strict ...

Ritchie Bros.

Senior Staff Software Engineer

Norwalk, CT · On-site

$123K - $162K/yr

Architect and develop high-concurrency backend services in Python (FastAPI/Django) to handle core ... Tool Engineering for Agents : Design and implement "Agent-Ready" APIs using Pydantic for strict ...

Ritchie Bros.

Staff Software Engineer

Norwalk, CT · On-site

$112K - $168K/yr

The Staff Software Engineer will be a high-velocity full-stack builder for the new Product ... Architect and develop high-concurrency backend services in Python (FastAPI/Django) to handle core ...

Ritchie Bros.

Staff Software Engineer

Norwalk, CT

The Staff Software Engineer will be a high-velocity full-stack builder for the new Product ... Architect and develop high-concurrency backend services in Python (FastAPI/Django) to handle core ...

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Agentic Solutions Engineer

BMG360

Shelton, CT

$130K/yr

Full-time

Posted 2 days ago

Job description

AGENTIC SOLUTIONS ENGINEER
Agentic Solutions Engineer
About the Role
We’re hiring an Agentic Solutions Engineer to be the hands-on technical backbone supporting our Agentic Solutions Architect and the broader delivery team. This is a builder’s role: you design, develop, and maintain the API-first, MCP-enabled infrastructure that powers our autonomous marketing workflows and AI-driven client solutions.

You’ll architect and implement the service layer that connects everything—MCP servers, REST APIs, Django backends, and React-powered admin interfaces—enabling the Architect to design agentic systems that actually ship. If you love writing clean Python and TypeScript, building reliable API infrastructure, and want to work at the bleeding edge of AI tooling, this role was built for you.

This is NOT a generalist DevOps or data engineering role. You specialize in API-first design, MCP protocol implementation, and full-stack internal tooling for agentic systems. You are the engineer who makes the Architect’s blueprints real.

Perfect for someone with a strong backend and full-stack background who is passionate about applying cutting-edge AI tooling to solve real-world marketing technology problems.
Responsibilities
API-FIRST INFRASTRUCTURE amp; MCP ENGINEERING
  • Design, build, and maintain RESTful and GraphQL APIs that serve as the backbone of agentic workflow systems.
  • Implement Model Context Protocol (MCP) servers that expose tools, resources, and prompts to LLM agents—enabling Claude and other agents to interface with internal and external data and services.
  • Develop webhook receivers, event-driven triggers, and real-time communication layers (WebSockets, SSE) to support autonomous agent pipelines.
  • Ensure APIs are secure, versioned, rate-limited, and observable with proper logging and distributed tracing.
  • Build and maintain the internal MCP server registry; keep tool schemas, descriptions, and input validation accurate and up to date.

BACKEND ENGINEERING — DJANGO
  • Build and extend Django-based backend services that power internal tools, client data pipelines, and agent orchestration APIs.
  • Design PostgreSQL schemas for agentic workflow state, job queuing, and audit trails.
  • Implement Django REST Framework (DRF) endpoints consumed by React frontends and external agent clients.
  • Develop background task processing using Celery and Temporal or similar for async agent jobs, polling loops, and scheduled automations.
  • Write Python integrations with LLM providers (Anthropic, AWS), marketing platform APIs (Meta, Google, GA4), and data warehouses (Snowflake).

FRONTEND TOOLING — REACT amp; REACT-ADMIN
  • Build internal admin dashboards using React-Admin to surface agentic workflow status, inspect agent job runs, and manage MCP server configurations.
  • Develop React-based monitoring and configuration UIs for the Architect and delivery teams.
  • Create reusable React components and hooks for common UI patterns across internal tool surfaces.
  • Integrate frontend tooling with Django/DRF backends and MCP-driven data sources.

AGENTIC TOOLING amp; DEVELOPER ENABLEMENT
  • Develop and maintain a reusable Python + TypeScript SDK of pre-built agent tools—platform API wrappers, data warehouse clients, webhook handlers—so new MCP servers and workflows can be stood up faster.
  • Support the Architect in prototyping and evaluating new agentic frameworks (Flowise, LangChain, custom orchestration).
  • Document MCP servers, API contracts, and SDK usage so the broader engineering team can build on your infrastructure.
  • Test and validate the accuracy and reliability of API outputs, MCP tool responses, and agentic workflow integrations.

Requirements
  • REQUIRED EXPERIENCE:
  • 3–6 years in backend or full-stack engineering roles, ideally at an agency, SaaS, or data/AI company.
  • Expert-level Python: you write clean, tested, idiomatic Python for APIs, data pipelines, and LLM integrations daily.
  • Proficient TypeScript/JavaScript: comfortable in both Node.js server contexts and React frontend work.
  • Hands-on experience building and consuming REST APIs—you understand OAuth2, JWT, API versioning, pagination, and webhook security.
  • React experience: you can build functional, component-driven UIs and are familiar with hooks, state management, and API integration patterns.
  • Familiarity with relational databases (PostgreSQL preferred) and ability to write efficient queries and design schemas.
  • Understanding of async patterns: event queues, background workers, webhooks, polling.
  • TECHNICAL SKILLS:
  • Python: FastAPI, Django/DRF, Celery, Pydantic, httpx, pytest—production-grade Python is your default.
  • TypeScript/JS: Node.js APIs, React (hooks, context, functional components), type-safe interfaces, module patterns.
  • Django: models, migrations, DRF serializers, viewsets, permissions, admin customization, Celery task integration.
  • React-Admin: custom resources, data providers, list/show/edit views, auth integration—or strong React with a fast ramp.
  • APIs: OpenAPI spec-first design, Swagger/Redoc documentation, rate limiting, CORS, versioning strategies.
  • MCP Protocol: familiarity with Model Context Protocol preferred; hands-on MCP server development is a major plus.
  • Cloud/infrastructure: AWS or GCP (Lambda, Cloud Run, S3/GCS), Docker, basic CI/CD pipelines (GitHub Actions).
  • Data: PostgreSQL, Snowflake familiarity; ETL patterns; ability to write complex SQL.

Compensation is commensurate with experience.
About Us
BMG360 is a high growth, private equity backed, tech enabled marketing agency that specializes in direct response advertisements across TV, audio, digital and direct mail. With recent acquisitions of a leading paid search and social firms, we are expanding our offerings and capabilities and are poised to become a powerhouse. Our data-driven systems deliver fixed cost leads so clients can grow their businesses rapidly and with minimal risk. From creative development to analytics, media strategy to revenue optimization, BMG360 has the expertise and knowledge to fit together all of the pieces of a successful direct response campaign and deliver powerful and profitable results.
Why BMG360?
BMG360 has been a leader in the industry since 2003, and we are growing exponentially.This staggering growth provides our employees with unparalleled opportunities to play a role in shaping the company’s direction. Each employee plays an integral role in the evolution of BMG360 so company-wide transparency is paramount. Leadership is committed to making sure the entire team knows how the company is performing in relation to our annual goals, what challenges we are facing as a company and what opportunities are on the horizon. We pride ourselves on fostering a fun and fast-paced environment to work and grow your career. At BMG360 you’ll have the opportunity to work as part of a close-knit team, working towards a common goal.
We are an equal opportunity employer and are committed to building a diverse and inclusive team. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.

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