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Salary
$23k – $110k per year (Estimated)
Location
In office (Bengaluru)
Overview
Company
Impact
Profile match
66 Degrees is a technology company that provides a platform for businesses to manage their customer relationships. The company's platform offers a range of features, including: Customer relationship management (CRM) Marketing automation Salesforce integration Customer support 66 Degrees' platform is designed to be user-friendly and scalable, with a focus on providing businesses with the tools they need to manage their customer relationships effectively. The company is headquartered in London, England.

Overview of 66degrees

66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential.

At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.

Overview of Role

Seasoned Software Developer with deep expertise in Python-based backend development (framework-agnostic, without a hard dependency on Django) and cloud-native application delivery. Adept at building scalable platforms, designing RESTful APIs, and integrating modern AI/LLM capabilities into production systems. Experienced with technologies like FastAPI, React, and cloud platforms such as Azure and GCP. Known for driving solution delivery, mentoring teams, and aligning technology initiatives with business goals.

Responsibilities:

  • Architect and deliver scalable backend solutions using modern Python frameworks
  • Design, build, and integrate LLM-powered features (RAG pipelines, AI agents, tool/function calling) into production applications
  • Design and maintain robust RESTful (and optionally GraphQL) APIs
  • Build event-driven systems and manage distributed/background job processing
  • Oversee cloud deployments and infrastructure on Azure and GCP
  • Implement CI/CD, observability, and cost/performance optimization for AI workloads
  • Lead cross-functional teams, mentor engineers, and uphold high engineering standard

Core Skills:-

1. Primary: Python (FastAPI, Flask), API Design, Cloud-Native Architecture, Async programming (asyncio) for building event-driven systems and handling distributed/background jobs

2. Database: SQL (PostgreSQL, MySQL), ORM (SQLAlchemy)

3. Secondary: React, JavaScript (ES6+), HTML5, CSS3

4. Cloud & DevOps: Azure, GCP, Docker, Kubernetes, CI/CD

5. Tools & Practices: SQLAlchemy, Agile, Git, Terraform, Pytest.

AI / LLM Engineering Skills:-

LLM APIs: OpenAI, Google Gemini, Anthropic Claude (incl. Azure OpenAI / Vertex AI)

  • Prompt Engineering and AI Agents (tool use, function calling, multi-agent

orchestration)

  • RAG (Retrieval-Augmented Generation) chunking, embeddings, retrieval strategies
  • Vector Databases: e.g. Pinecone, Weaviate, Chroma, pgvector, FAISS, Milvus
  • AI Frameworks: LangChain / LangGraph, Google ADK, LlamaIndex
  • MCP (Model Context Protocol)

Good to Have:-

LLM Ops & evaluation: LangSmith / LangFuse, prompt versioning, eval frameworks

(RAGAS, DeepEval), guardrails/hallucination mitigation

  • Embeddings & model tuning: text embedding models, fine-tuning / LoRA, structured

output (JSON mode, Pydantic-based parsing)

  • Data & pipelines: Pandas, background jobs/queues (Celery, Redis), streaming

responses (SSE/WebSockets)

  • API hardening: authentication/authorization (OAuth2, JWT), rate limiting, caching
  • Message brokers / event-driven: Kafka, RabbitMQ, or Pub/Sub
  • Security & governance: Data Privacy, Responsible-AI / Content Moderation
  • Testing & quality: unit/integration testing, type checking (mypy), linting (ruff)

Please note, we cannot sponsor or transfer any visas, of any kind, at this time.

66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.

AI Transparency & Disclosure

As an AI transformation partner, 66degrees leverages intelligent solutions to enhance our recruitment experience. We utilize AI tools-including LinkedIn Recruiter’s Hiring Assistant and interview transcription technologies-to assist with sourcing, role analysis, and capturing interview highlights.

These tools augment our process, but we "Commit to Our Craft" by ensuring all final hiring decisions are made by our human Talent Team. By applying, you acknowledge the use of these technologies to help us "Win Together" in finding the best fit for our team.

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