
Python Software Development Engineer
2 weeks ago
About our firm:
We are a software product development services company specialized in creating uncommon solutions for common problems by making use of the right technologies and best practices.
Our team consists of highly skilled engineers who collaborate closely to deliver high-quality results. We strive for excellence in every project we undertake.
Key Responsibilities:
- Architect, implement, and optimize AI backends that combine Python engineering discipline with GenAI capabilities like tool orchestration, retrieval pipelines, and observability.
- Design and implement multi-agent orchestration using libraries such as AutoGen, CrewAI, and LangGraph.
- Build pipelines for agents to delegate tasks, exchange structured context, and collaborate.
- Add observability, replay, and guardrails to A2A interactions.
- Develop MCP servers to expose tools, resources, and APIs to LLMs.
- Work with FastMCP SDK and design proper tool/resource decorators.
- Implement RAG pipelines: text preprocessing, embeddings, chunking strategies, retrieval, re-ranking, and evaluation.
- Integrate with LLM APIs and open-source models.
- Handle context-window optimization and fallback strategies for production workloads.
Required Skills & Qualifications:
- 3–7 years professional experience with Python (3.9+).
- Strong knowledge of OOP, async programming, and REST API design.
- Proven hands-on experience with RAG implementations and vector databases.
- Familiarity with MCP concepts and hands-on experience with MCP server implementations.
- Understanding of multi-agent workflows and orchestration libraries.
- Proficiency with FastAPI/Django for backend development.
- Comfort with Docker, GitHub Actions, CI/CD pipelines.
- Practical experience with cloud infrastructure.
Nice-to-Have:
- Exposure to AI observability & evaluation.
- Contributions to open-source AI/ML or MCP projects.
- Understanding of compliance/security frameworks.
What We Offer:
- Opportunity to own core AI modules.
- End-to-end involvement from architecture → MVP → production rollout.
- A fast-moving, engineering-first culture where experimentation is encouraged.
- Competitive compensation, flexible work setup, and strong career growth.
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