Python​/AI Developer

This range is provided by Synechron. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

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We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & Dev Ops, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our Fin Labs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.

Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.

We are seeking a highly skilled Senior Python Developer to design and build high-performance backend systems, intelligent services, and AI-powered platform features. You will work closely with data scientists, platform engineers, and product teams to develop services that power analytics, workflow automation, and agentic AI applications.

This role is ideal for developers who excel in Python craftsmanship, distributed systems, API design, and modern AI integration patterns.

• Architect, develop, and maintain scalable Python services and microservices.
• Build REST and/or Graph
  
  QL APIs that interface with internal and external systems.
• Design reusable modules, libraries, and frameworks used across engineering teams.
• Ensure high performance, reliability, and fault‑tolerance in production systems.

• Integrate backend services with LLM tools, inference endpoints, or retrieval systems.
• Build Python modules for hybrid retrieval logic.
• Optimize pipelines for latency, throughput, and cost efficiency.
• Build Python‑based agent workflows using Lang Graph for state‑driven orchestration.
• Develop MCP tools to securely expose enterprise functionality to LLM agents.
• Design safe, observable, and governable tool‑calling interfaces.
• Work with data scientists to product ionise agent capabilities in real workflows.
• Design robust integrations with SQL/No
  
  SQL databases, event streams, message queues.
• Build data ingestion and transformation services (ETL/ELT).
• Implement caching, rate‑limiting, and retry logic for API‑intensive workloads.
• Manage secrets, credentials, and secure transport of sensitive data.

• Write comprehensive unit, integration, and load tests.
• Participate in code reviews to uphold engineering excellence.
• Improve observability through metrics, logging, and distributed tracing.
• Automate CI/CD pipelines using tools like Git Hub Actions, Jenkins, Git Lab CI, or Argo.

• 6+ years of hands‑on Python development experience.
• Expertise with FastAPI, Flask, or Django, Async
  
  IO, concurrency models, multiprocessing, SQL Alchemy or ORM frameworks.
• Strong understanding of software architecture and system design.
• Experience designing and consuming REST APIs, Web Sockets, or event‑driven systems.
• Proficiency with SQL databases and at least one No
  
  SQL or vector/graph store.
• Experience working with distributed systems, microservices, or containerised environments (Docker/Kubernetes).

• Experience integrating Python services with LLM APIs (OpenAI, Anthropic, local models).
• Familiarity with RAG, embeddings, retrieval pipelines.
• Experience with agent orchestration frameworks like Lang Graph, CrewAI, or MCP tooling.

• Experience with Redis / Memcached.
• Airflow or Prefect.
• Snowflake, Databricks, or Spark.
• Strong background in performance tuning and profiling.

• Ownership…