AI / Agentic Software Engineer

Your Impact

You will work with our firm’s top technical minds on a solution that will enable the next generation of client service.

You’ll be part of building a platform that will be deployed across regions, sectors and functions. Focusing on a distinctive combination of AI capabilities, domain expertise, and human judgement. You’ll be at the forefront of developing exciting technology for our firm.

As an AI / Agentic Software Engineer, you will design, build, and operate agentic systems that power GenAI applications.

You’ll use LangGraph and LangChain to author multi-step, tool-using agents with robust state management, planning, and recovery; define and evolve function/tool schemas; implement tool routing, parallelization, and fallbacks; integrate retrieval, memory, and context windows; add guardrails, evaluation harnesses, and tracing for safety and observability; and expose agents via APIs and workflows.

You’ll also integrate ETL-heavy procedural workflows through modern orchestrators (e.g., Airflow, Prefect, Dagster, AWS Step Functions), modeling long-running DAGs as tool-invocable tasks with retries, backfills, idempotency, SLAs, lineage, and data-quality checks—so agents can schedule, monitor, and adapt pipelines in response to real-time signals.

You’ll write production-grade Python/TypeScript with comprehensive tests, create and modify GitHub Actions CI/CD pipelines, and operate AWS- and Docker-based infrastructure with attention to reliability, latency, and cost.

Your qualifications and skills

• 5+ years as a Software Engineer. Degree in CS/Engineering or equivalent experience
• Previous enterprise platform experience preferred
• Proven agentic systems experience with LangGraph/LangChain (function/tool calling, state management, planning, retries/fallbacks)
• Orchestrating ETL/DAG workflows (Airflow, Prefect, Dagster, AWS Step Functions) with idempotency, backfills, SLAs, lineage
• Strong Python (asyncio, FastAPI, Pydantic); TypeScript/Node.js a plus
• Expertise in React and Next.js (SSR/ISR, streaming UIs)
• SQL mastery with PostgreSQL/RDS; solid schema design and query optimization
• Retrieval & data layer: vector search (pgvector/FAISS/Pinecone) and knowledge graphs (SPARQL/Gremlin) for RAG/memory
• LLM ops: prompt engineering, tool selection/guardrails; evaluation & observability (LangSmith/OpenTelemetry)
• CI/CD with GitHub Actions; GitHub PR workflows; Docker/Kubernetes; AWS (ECS/Fargate, Lambda, S3, CloudWatch, IAM)
• Strong problem-solving, ownership mindset, and comfort in a fast-paced, collaborative environment