Senior AI Software Engineer (Agentic Systems / LLMs)

Senior AI Software Engineer (Agentic Systems / LLMs)

Location: Remote

About the Company:

Our client is a global, science-driven biopharmaceutical company (top 10 worldwide) focused on discovering, developing, and delivering innovative medicines and healthcare solutions that improve patients’ lives. They are heavily investing in AI and are building advanced Agentic AI solutions to accelerate scientific research and decision-making across the organization.

Role Overview

We are looking for a highly skilled Senior Agentic AI Software Engineer with strong software engineering fundamentals and deep Python expertise. In this role, you will design and build Agentic AI systems that automate complex data and analysis workflows across multiple scientific domains. You will work closely with other engineers, data scientists, and domain experts to turn high‑level research and business needs into robust, scalable, and production‑grade AI solutions.

Key Responsibilities

● Design, implement, and maintain Agentic AI solutions (LLM‑powered agents,

tools, and workflows) for scientific and data‑intensive use cases.

● Build and support tools to orchestrate data processing, analysis, and

decision‑making pipelines.

● Automate complex, multi‑step workflows using Python and modern AI/LLM

frameworks.

● Integrate AI agents with internal systems and data sources via APIs,

databases, and services.

● Ensure robustness, observability, and performance of Agentic AI systems in

production.

● Apply software engineering best practices (testing, code review, CI/CD,

documentation, monitoring).

● Design and develop MCP servers to connect and access internal data

sources.

Essential Qualifications

● University degree in Computer Science, Engineering, Bioinformatics, or

related field (M.Sc. or PhD is a plus).

● 5+ years of professional experience in software engineering, data

engineering, data science, machine learning, or related areas.

● Strong, hands‑on Python programming skills (writing production‑grade code,

libraries, and services).

Experience working with:

● Advanced RDBMS & Data Modeling: Expert-level SQL proficiency, including

query optimization, indexing strategies, and handling complex relational

schemas.

● Production-Grade APIs: Extensive experience designing and consuming

robust RESTful services, focusing on scalability, security (OAuth/JWT), and

high-concurrency integration.

● Cloud Infrastructure (AWS Priority): Hands-on experience architecting and

deploying Python applications in AWS (ECS, Lambda, S3, RDS) using

Infrastructure as Code (IaC) principles.

● Software Engineering Excellence: A rigorous track record of applying best

practices: Gitflow, unit/integration testing (PyTest), automated CI/CD

pipelines, and conducting high-standard code reviews.

Highly Valued (Nice to Have):

● Agentic AI Systems in Production: Proven experience building or

orchestrating multi-agent systems (LLM-based) with complex tool-calling

capabilities and autonomous decision-making loops.

● Enterprise AI Frameworks: Deep familiarity with modern orchestration layers

such as Pydantic-AI, LangGraph, or Semantic Kernel, moving beyond basic

linear chains.

● Advanced RAG Architectures: Practical experience with Retrieval-

Augmented Generation, including vector database tuning (e.g., Pinecone,

Weaviate, Milvus), embedding optimization, and metadata filtering.

● LLM Lifecycle & Evaluation: Strong understanding of foundation model

constraints, prompt engineering for production (DSPy/evaluation frameworks),

and managing token latency/cost.

● Polyglot Programming: Experience in at least one compiled language (e.g.,

Go, C++, or Rust) to handle performance-critical backend components or low-

level optimizations.

● Data domain knowledge: Experience working with scientific data (Omics,

Imaging, Clinical, Preclinical, etc..).